data/arcade/queries.json

[
  {
    "_id": "380244836cf293b341e31a60bf94c818",
    "query": "Convert columns with numeric values to numeric data types",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "40fff0ea02b878d128f42674f3e4f168",
    "query": "What is the average prices wihin brands that produce AC units with Alloy and Copper condenser coils?  Show brand names as an index and condenser coil materials as columns",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "7e3662b2839be503610616170cd7512b",
    "query": "Which brand produces the highest number of units having less than forty decibels? Return the name of the brand and number of units.",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "0560825d9d70918d5c3ca3672ec5de02",
    "query": "What is the percent change in average price of AC units for every one star increase in customer feedback?",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "8e12ab1e456225f81110c2b51822170c",
    "query": "Create a new column 'power_consumption_group' that maps the AC units' power consumption into bins of 500.",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "d314e7a959de8d20b9a6267b46a87eb2",
    "query": "Which brand has the highest ratings within each power consumption group?  Show power connumption group as an index and brand name and ratings as columns.",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "cf5ea9ed7ef32306c79f487798351e16",
    "query": "What is the highest and lowest bounds of refrigerants and noise levels for each power consumption group?",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "91f479db7014aa84648386c4198a3b5d",
    "query": "What is the highest correlated feature, in absolute value, with the price of AC units?",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "587acdcffad3350a6d85a0017b3d61f9",
    "query": "What is the share of AC units produced for each brand?",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "51fe688faf8c5f607d97dd2de72ffef3",
    "query": "What is the average ratings received for every combination of brand name and power consumption group?  Show the brand name as an index and power consumption group as columns",
    "table_ids": [
      "6c2e99c53a93a19105f94e263a0b7a3f"
    ],
    "metadata": {
      "notebook": "air-condition-dataac/notebook_1.ipynb"
    }
  },
  {
    "_id": "ca130bdc4245220c045852f5ce716279",
    "query": "Convert the data types of columns with numeric values to numeric data types.",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "7410b6d67903bbe69bf8a7fd2f1cc999",
    "query": "What is the total cumulative annual plane orders for every region?  Show the years as an index and the regions as columns.",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "907511301a96381fad0df159c36af2dc",
    "query": "What is the percent change in total annual plane orders placed by customers in China over the past twenty years?",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "e9a2e5495c899507f02662119814e911",
    "query": "Which customer ordered the highest number of planes in each country over the past ten years?  Return the Country, customer name and total planes ordered.",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "69e16e4e0c278c3fc8da4a254ed8eb10",
    "query": "How many customers in each region ordered at least one hundered planes in total?",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "906549f9276105e878a0c9abfa0e6495",
    "query": "Which Region had the highest total number of deliveries in a single year? Return the Region and the year that had the highest numeber of total deliveries.",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "25b40831aa5d694e45470f70a7306ca8",
    "query": "Which country in that region had the highest share of deliveries during that year?",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "555115bc568a348ddefaefff134eb520",
    "query": "What is the cumulative sum of orders placed by Emirates Airlines?",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "01fb260f0eb3249b3f0bb49f4f53bd5c",
    "query": "Which customer in each region ordered the largest variety of plane models?  Return the region, customer name and unique fleet models",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "b12eebcb9827bda5e28d95d9d6c714bd",
    "query": "What is the global order share of each country for the total orders placed in the last ten years?",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "066bc60f5e74680ebd87dba689c61e4a",
    "query": "Which month in each of the past fifteen years had the highest number of total orders?",
    "table_ids": [
      "ba431abcd5e0deece593e5e269f06119"
    ],
    "metadata": {
      "notebook": "boeing-historical-airplane-orders-deliveries/notebook_1.ipynb"
    }
  },
  {
    "_id": "5b922a6524896dcc89d9cab8237e1ba8",
    "query": "Create a new column 'num_charges' representing the number of filed charges for each case.",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "be7b739ac684781605e3ee6795695da3",
    "query": "How many cases had more than three filled charges each month over the past twelve months?",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "4728d0cf0e700e18a952302d1986ee8c",
    "query": "What is the most common crime type each year?  Show the year as an index and crime type and count as columns",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "b066224333557b727370ddc94a57cea9",
    "query": "What is the percent change of total cases of each crime type each year.  Show the year as an index and crime types as columns",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "c15c99d50191830b523d485073dd23b9",
    "query": "Which crime type had the highest number of filled charges over the past five years?",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "cfff7f220b2c7336d5af16c46eb613e7",
    "query": "What is the percentage of dismissed cases each year?",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "3fc8bf9e8e910be6b2420f1ba5d9cd31",
    "query": "What is the average interval, in days, between consecutive robberies reported over the past twelve months?",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "123d28009074659cd25280057d2dbe47",
    "query": "What is the average number of filed charges for drug related cases?",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "5b031f3da202251edff22c73a03180f0",
    "query": "Which crime is associated with the highest total number of filled charges each year?  Show the year as an index and crime type and total filled charges as columns",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "eb86cdf74c11211dd9205cb72049aa4a",
    "query": "What is the month-over-month percent change in reported burglary cases over the past twelve months?",
    "table_ids": [
      "16441a105784b994539f6bf2888574e2"
    ],
    "metadata": {
      "notebook": "district-attorney-cases-prosecuted/notebook_1.ipynb"
    }
  },
  {
    "_id": "455d2b1c5a3084ca9285eb7079068d90",
    "query": "What is the average diameter of trees within every category planted in each area?  Show the Area as rows and categories as columns.",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "007b4da3c0b0b3cedfa56ac4b8df2cb4",
    "query": "In which parks were the tallest trees planted for every category? Return the park name and height of the tallest tree.",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "5c7a31801a20d47a577d9a44302dfd5c",
    "query": "What is the most common space of growth for 'Hawthorn' trees?",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "d89fb2106bc2f5d2414017bd14bfcbbe",
    "query": "What is the name of the park that has the highest variety of trees planted?",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "42a026c20a45be0dad1f3b7ba92d57d9",
    "query": "How many front and left facing trees were planted in that park?",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "a8bc4c9401bf662671ddbf264d57d4bd",
    "query": "How many trees having a diameter of more than and less than ten were planted in each area?  Show the areas as rows and 'Diameter >10' and 'Diameter <= 10' as columns.",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "792ff9aace64ed5d0c5954f16e114acf",
    "query": "Which park had the highest variety of planted trees in each area? Return the park name and count of unique planted trees.",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "7ee4f7a3850f209e1a0c4e0a0abf284b",
    "query": "What is the most common species planted in each street?",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "a0afc5d1846b67f60d8f366bb4cb2d2e",
    "query": "What is the average height of trees planted in each direction for every space of growth?  Show the grow space as rows and direction as columns.",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "672ac873995d61ebaff820efe320fc09",
    "query": "How many more unique tree species are planted in Oaklands compared to Downtown?",
    "table_ids": [
      "918861b07b66c15b327141be50d004ca"
    ],
    "metadata": {
      "notebook": "victoria-bc-city-tree-species-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "659c27982412a11c955d4b617196f074",
    "query": "Replace the missing data points in the columns \"Short description\", \"Gender\", \"Occupation\" and \"Manner of death\" with the word \"Unknown\".",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "192791e7b67ce4fd12d83d4f13ab8e74",
    "query": "Create a column named 'First Country' that identifies the first mentioned country for each person.",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "12e7e6c3173cea32a6a2e8dff465dfc2",
    "query": "Create a dataset for the list of countries mentioned for each person.",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "56b44d975fcff613f7b2fbef9db18bc9",
    "query": "What is the gender distribution for the top ten common occupations? Return a dataframe in wide format listing occupations as rows and genders as columns.",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "e128031ca610a350f9b63abbec3db076",
    "query": "What are the three most common occupations and death counts for those who suicided?",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "6afa283e2bec158e98d9ace663771ffc",
    "query": "What are the five most common causes of death for females?",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "eac906d6409fc84a2d5286e090dd9171",
    "query": "What is the most common cause of death in each country? Return a dataframe with the counts and most common death cause.",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "8d22da7e599316b3bb899dca1e13aa28",
    "query": "What is the average age at death for those who were born during the 1950s?",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "b9229d716c62bbce556fe8bbd2794a0e",
    "query": "What is the number of deaths by accident as a percentage of total deaths in the last ten years?",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "f012afa8d68626f4c41f5af0a9eccb2a",
    "query": "List the five most common nationalities of artists who died after the year 2000 and were born in the 1950s.",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "b7ffff9b5b3c0fd33105806b7b67c1b9",
    "query": "Retrieve the records of the doctors who died in the last three years.",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "0dff5a18e0f2dde94c40290b27cd8971",
    "query": "What is the cause of death and median death age of individuals associated with world wars?",
    "table_ids": [
      "fd1a0c199818ec6a9a7148aa6f283188"
    ],
    "metadata": {
      "notebook": "age-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "6ea7e06f66a823c8f83fd9cf6f251b5e",
    "query": "Create a dataset containing all the title details and the credits for each title.",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "63285ab949c768faf453d378de64657a",
    "query": "What are the average IMDB and TMDB scores for movies and shows?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "30f6f326441dc3a1755a4152c09b6909",
    "query": "Which actor and director has the highest average IMDB score?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "a450d538e6ef123a59e6d94c93f5394d",
    "query": "What is the average TMDB popularity of movies released each year?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "ac94607133077595926a4c92b4d19f03",
    "query": "What are the ranges of run time durations for each age category? Return a dataframe with the shortest and longest run times for each age category.",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "204b1538fb5a8bdb469292f1e768d86d",
    "query": "What are the top five listings having the highest number of actors involved?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "0d52b915a767944634d443290e489157",
    "query": "What is the average TMDB popularity of movies belonging to comedy and drama genres?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "f13da9abf41ec469ae9aca9bdf27c8e3",
    "query": "How many actors and directors contributed to movies produced in the US?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "67d130bc3b8fca6640508c1f46f69a7d",
    "query": "What are the five most popluar shows having a runtime duration of less than an hour?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "26b8c1c423b5a7f4ca6d63a0e88fba7f",
    "query": "What is the highest IMDB rated movie within each age category?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "4b7f2bc66d49d5bf66bc80f192cc1e61",
    "query": "Who is the actor who worked with the same director the most?",
    "table_ids": [
      "804fb2bc57921b0aca519f86d5a1d777",
      "e8f01fcd7b1eba50576868a766079cf5"
    ],
    "metadata": {
      "notebook": "netflix-tv-shows-and-movies/notebook_1.ipynb"
    }
  },
  {
    "_id": "5701abeb5fbd357cb3e5a69d96598d4f",
    "query": "Convert the incorrect data types of numeric columns into numeric format.",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "23150ed7fb256ee40caa366dd98f4c8e",
    "query": "What is the average price per gallon in countries having a global share of daily oil consumption of less than 3%?",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "1a04dfe7371f11131862cef4adf5f5ab",
    "query": "Create a column, 'population', representing each country's population.",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "4d4a575b15fcd33b1629c204556bba43",
    "query": "Create a column, 'GDP', representing the GDP in USD for each country?",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "8088448c59ed397beffab73efc160eef",
    "query": "What is the name and population of the country having the lowest oil price per gallon?",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "078ced14d798c50f6d01ae6a2de071b1",
    "query": "Which country has the highest population? Calculate its daily oil consumption as a percentage of global oil consumption? Return a dataframe with the country's name, daily oil consumption and percent of global consumption.",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "57720530423e1d0100e1ae5ef2306374",
    "query": "What is the yearly per capita oil consumtion of the United States as a percentage of the global yearly per capita oil consumption?",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "a236fa869546c978b54f75ad20599ce1",
    "query": "What is the GDP of the country with the highest share of global daily consumption, as a percentage of global GDP?",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "272efe412b434e8d2f650b2e7e7a7672",
    "query": "What are the names and oil prices per liter of the top five countries having the highest GDP per capita?",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "30e774755693cbb940ba92788dbb1793",
    "query": "What is the name, population and percent of global population of the country having the lowest GDP per capita?",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "a7a37e4a0cb27273d94472915ecd503c",
    "query": "Is the oil price per gallon cheaper or more expensive in the China than in Saudi Arabia? Return an output with the word 'Expensive', 'Cheaper' or 'Equal' if the price is expensive, cheaper or equal, respectively, followed by the price difference.",
    "table_ids": [
      "fa8a7d0b6eb9301debd40cfc5996efa6",
      "eb3335854d15a287872d7f360572c1cd"
    ],
    "metadata": {
      "notebook": "petrolgas-prices-worldwide/notebook_1.ipynb"
    }
  },
  {
    "_id": "1ca446f80a784c22a9da7a32a417147b",
    "query": "What is the Ad click rate in percentage accross each gender?",
    "table_ids": [
      "d6ad5fa0bfe033fb43ab1817c1127bee"
    ],
    "metadata": {
      "notebook": "advertisement-click-on-ad/notebook_1.ipynb"
    }
  },
  {
    "_id": "ab198eae69084d9b7f69112ce8b62dd9",
    "query": "What are the top ten countries with the highest Ad click rate?",
    "table_ids": [
      "d6ad5fa0bfe033fb43ab1817c1127bee"
    ],
    "metadata": {
      "notebook": "advertisement-click-on-ad/notebook_1.ipynb"
    }
  },
  {
    "_id": "5824292847c6a79d0f94f6feda1fbdb4",
    "query": "What is the average daily percent of time spent on the site for customers who clicked and did not click on the Ads?",
    "table_ids": [
      "d6ad5fa0bfe033fb43ab1817c1127bee"
    ],
    "metadata": {
      "notebook": "advertisement-click-on-ad/notebook_1.ipynb"
    }
  },
  {
    "_id": "5fa02304f78cce4477ae2a0b26d1a678",
    "query": "What is the average Ad click rate for each hour?",
    "table_ids": [
      "d6ad5fa0bfe033fb43ab1817c1127bee"
    ],
    "metadata": {
      "notebook": "advertisement-click-on-ad/notebook_1.ipynb"
    }
  },
  {
    "_id": "3a418e401951c3638b209b077d533d9d",
    "query": "What is the average customers' income per Country for males and females? Return a dataframe with the countries as the index and genders as columns.",
    "table_ids": [
      "d6ad5fa0bfe033fb43ab1817c1127bee"
    ],
    "metadata": {
      "notebook": "advertisement-click-on-ad/notebook_1.ipynb"
    }
  },
  {
    "_id": "fa87e33c9ef5cd794691c7488ea17715",
    "query": "What is the Ad click rate for customers who spend more than an hour daily on the website compared to those who spend less than an hour? Show the values \">=60mins\" and \"<60mins\" represnting daily time spent greater than or equal to, and lower than an hour, respectively.",
    "table_ids": [
      "d6ad5fa0bfe033fb43ab1817c1127bee"
    ],
    "metadata": {
      "notebook": "advertisement-click-on-ad/notebook_1.ipynb"
    }
  },
  {
    "_id": "d6edb64589f17fc950639f4df139f226",
    "query": "What is the daily percent of time spent on the website accross cities in France for each gender?",
    "table_ids": [
      "d6ad5fa0bfe033fb43ab1817c1127bee"
    ],
    "metadata": {
      "notebook": "advertisement-click-on-ad/notebook_1.ipynb"
    }
  },
  {
    "_id": "968a09db39d0329107aa431b09cfe1ca",
    "query": "What are the total units sold per year by each manufacturer in the last 5 years?",
    "table_ids": [
      "d6e8b4b800135ea3d462c3be0671ceec",
      "a6f64950755fe92de6e35b2c7b2ea3c7",
      "08c52d5722c75ee0810477535a6a767c",
      "2c478a291144be2b3ee7baa8082f0b78"
    ],
    "metadata": {
      "notebook": "best-selling-mobile-phones/notebook_1.ipynb"
    }
  },
  {
    "_id": "ef87eb695478d5123707e5a301d8320e",
    "query": "Which manufacturer produced the highest number of touchscreen phones?",
    "table_ids": [
      "d6e8b4b800135ea3d462c3be0671ceec",
      "a6f64950755fe92de6e35b2c7b2ea3c7",
      "08c52d5722c75ee0810477535a6a767c",
      "2c478a291144be2b3ee7baa8082f0b78"
    ],
    "metadata": {
      "notebook": "best-selling-mobile-phones/notebook_1.ipynb"
    }
  },
  {
    "_id": "1d6191c0946f9b24eb80bdd72737601b",
    "query": "Get the name of the phone model manufactured by Apple that yielded the highest YoY (Year over Year) increase in units sold? Return the model name and YoY unit sales change.",
    "table_ids": [
      "d6e8b4b800135ea3d462c3be0671ceec",
      "a6f64950755fe92de6e35b2c7b2ea3c7",
      "08c52d5722c75ee0810477535a6a767c",
      "2c478a291144be2b3ee7baa8082f0b78"
    ],
    "metadata": {
      "notebook": "best-selling-mobile-phones/notebook_1.ipynb"
    }
  },
  {
    "_id": "eaa4b9e2b8c53d27c4d3f8f29efbb587",
    "query": "What are the percentage of bar type phones released each year?",
    "table_ids": [
      "d6e8b4b800135ea3d462c3be0671ceec",
      "a6f64950755fe92de6e35b2c7b2ea3c7",
      "08c52d5722c75ee0810477535a6a767c",
      "2c478a291144be2b3ee7baa8082f0b78"
    ],
    "metadata": {
      "notebook": "best-selling-mobile-phones/notebook_1.ipynb"
    }
  },
  {
    "_id": "9261cccef6790199ad52effdc655f47f",
    "query": "What is the distribution of different phone configurations accross manufacturers for the last fifteen years? Return a dataframe with the year and manufacturer as an index, and phone forms as columns.",
    "table_ids": [
      "d6e8b4b800135ea3d462c3be0671ceec",
      "a6f64950755fe92de6e35b2c7b2ea3c7",
      "08c52d5722c75ee0810477535a6a767c",
      "2c478a291144be2b3ee7baa8082f0b78"
    ],
    "metadata": {
      "notebook": "best-selling-mobile-phones/notebook_1.ipynb"
    }
  },
  {
    "_id": "b9699eef6bb527111f077ba38ca5f38e",
    "query": "How many different smartphones were released each decade?",
    "table_ids": [
      "d6e8b4b800135ea3d462c3be0671ceec",
      "a6f64950755fe92de6e35b2c7b2ea3c7",
      "08c52d5722c75ee0810477535a6a767c",
      "2c478a291144be2b3ee7baa8082f0b78"
    ],
    "metadata": {
      "notebook": "best-selling-mobile-phones/notebook_1.ipynb"
    }
  },
  {
    "_id": "3ec7ec990d3cc69d4f013fcf62dc566f",
    "query": "Which manufacturer released the highest number Bar type phones after the year 2000?",
    "table_ids": [
      "d6e8b4b800135ea3d462c3be0671ceec",
      "a6f64950755fe92de6e35b2c7b2ea3c7",
      "08c52d5722c75ee0810477535a6a767c",
      "2c478a291144be2b3ee7baa8082f0b78"
    ],
    "metadata": {
      "notebook": "best-selling-mobile-phones/notebook_1.ipynb"
    }
  },
  {
    "_id": "40ca3510b43b114e29f56bda7bcc37e3",
    "query": "Convert the incorrect data types of numerical columns into numeric format.",
    "table_ids": [
      "77825f4d412eaed6501b8c88959b3ad5",
      "9a90a6a36ae8637a354eef1d498b87e4",
      "23e8f4e87a24be6923dedc980def8fc3"
    ],
    "metadata": {
      "notebook": "world-population-by-countries/notebook_1.ipynb"
    }
  },
  {
    "_id": "382a898f6b561cd2d9d3e5baf960602b",
    "query": "What is the average median population age of countries having a fertility rate of more than and less than 2.0? Show the values \">=2.0\" and \"<2.0\" representing fertility rates greater than or equal to, and lower than 2.0 respectively.",
    "table_ids": [
      "77825f4d412eaed6501b8c88959b3ad5",
      "9a90a6a36ae8637a354eef1d498b87e4",
      "23e8f4e87a24be6923dedc980def8fc3"
    ],
    "metadata": {
      "notebook": "world-population-by-countries/notebook_1.ipynb"
    }
  },
  {
    "_id": "f46638d1d67cb113df38ef8227c5f642",
    "query": "Which country had the lowest population last year?",
    "table_ids": [
      "77825f4d412eaed6501b8c88959b3ad5",
      "9a90a6a36ae8637a354eef1d498b87e4",
      "23e8f4e87a24be6923dedc980def8fc3"
    ],
    "metadata": {
      "notebook": "world-population-by-countries/notebook_1.ipynb"
    }
  },
  {
    "_id": "2ae1de2404788ee53ca1bbfb1a8b006f",
    "query": "What is the correlation between flight duration, remaining days until flight and ticket price for the economy class?",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "864cdc3a76dfed7071afc425bf3f1a4e",
    "query": "What is the percent change in the average ticket prices for every hour increase in flight duration for economy and business classes? Round the flight durations to the nearest hour.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "3a84bd28bb05b97e8f93e80b339159ac",
    "query": "What is the average economy and business class ticket prices for each airline travelling to Delhi? Return a dataframe with airlines as an index and ticket class as columns.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "cc5d3f465b5285200467665b88cec303",
    "query": "Return a matrix with the average ticket prices to and from all the cities for each ticket class.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "5dd9dd53d24d1c5a2be703bfdd168f46",
    "query": "What are the average economy ticket prices for the different flight departure times within the day? Sort the values from earliest to latest times of the day.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "d2fc679621125b161514c95737b2cc0d",
    "query": "What is the change in average economy ticket prices for every one day change in remaining days until the flight? Show the remaining days, current fare price, next day fare price and change in price.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "c7b499b300e79bd6ec93c80ca3849ef2",
    "query": "Replace the values of departure times, arrival times and number of stops to numeric values based on their ordinality. Return a dataset 'new_flights' with the replaced values.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "85b16d31b01ea38c63b2cec43a5f665c",
    "query": "What is the correlation between departure time, arrival time, number of stops and price for economy tickets?",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "9e71c09ba879540fac336a3bebcff520",
    "query": "What is the average duration to and from all the cities for each airline? Return a dataframe with the airlines and departure cities as a nested index and destination cities as columns",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "9e0107e3b6e1ded7fefb6984149be890",
    "query": "What is the city that has the highest number of incoming flights? How many incoming flights does each airline have for that city with one week left until departure? Show the city name, airline and number of incoming flights.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "091d4d3f7c549815b25282b69eaef3ca",
    "query": "What is the percent change in fare prices of Economy tickets destined to Delhi for each decrease in week's time left until the flight?",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "5bec73bad8b01d559bdb5ea4c702853e",
    "query": "What is the total number of departing journeys available during each time of the day to Bangalore from all other cities? Return a dataframe with cities as an index and times of the day as columns.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "55fddcb309f6d6d11f3b61b66c5d47d8",
    "query": "What is the least expensive time of the day to depart to Chennai in Economy class across all airlines? Show the time of the day and the fare price for each airline.",
    "table_ids": [
      "96cc8ca3fdfab755769754b3ebdb66b1",
      "541cb56af849a13f0d6b26240f92c219",
      "9c3043bc7e82e5180735221e7e7fd78c"
    ],
    "metadata": {
      "notebook": "flight-price-prediction/notebook_1.ipynb"
    }
  },
  {
    "_id": "bee21aec5914751114b65d9b99d572ac",
    "query": "Convert the incorrect data types of numeric columns into numeric format, neglecting redundant units and modifiers within these columns.",
    "table_ids": [
      "eac4e7f7479afbd14140fde4e7cba124",
      "8f6cc2f934c64f5722da7822aaedd9ef"
    ],
    "metadata": {
      "notebook": "latest-laptop-price-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "4ffa463dffda727e2e484e0eb55a11d8",
    "query": "What is the feature that has the highest absolute correlation with the laptops' latest price?",
    "table_ids": [
      "eac4e7f7479afbd14140fde4e7cba124",
      "8f6cc2f934c64f5722da7822aaedd9ef"
    ],
    "metadata": {
      "notebook": "latest-laptop-price-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "39611bd07dd18e739ee166af599000bd",
    "query": "What is the percent change in average latest price across every new generation of precessors released by Intel?",
    "table_ids": [
      "eac4e7f7479afbd14140fde4e7cba124",
      "8f6cc2f934c64f5722da7822aaedd9ef"
    ],
    "metadata": {
      "notebook": "latest-laptop-price-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "56e07a3485c05e291d6efe232c23a03f",
    "query": "Round the star ratings to the neearest integer and find the change in average latest price of laptops for every increase in star rating?",
    "table_ids": [
      "eac4e7f7479afbd14140fde4e7cba124",
      "8f6cc2f934c64f5722da7822aaedd9ef"
    ],
    "metadata": {
      "notebook": "latest-laptop-price-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "c405f0e26d2e860d4970fdc5da613322",
    "query": "Which laptop brand releases the largest variety of gaming laptops? Show the brand name and number of different gaming laptops released?",
    "table_ids": [
      "eac4e7f7479afbd14140fde4e7cba124",
      "8f6cc2f934c64f5722da7822aaedd9ef"
    ],
    "metadata": {
      "notebook": "latest-laptop-price-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "664373649e85232fea501d8d69a7d787",
    "query": "What is the distribution of student adaptivity level accross each age group? Return a dataframe with age groups as an index and adaptivity levels as columns.",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "cac3ade35644e3bdfabfdc9d476e2c8e",
    "query": "Which age group has the highest percentage of low adaptive students? Show the age group and the percentage of students.",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "cf9e2ca7997b3ed52140f3c9d559d176",
    "query": "By how much are non IT students more likely to increase adaptivity for each age group? Return a dataframe with adaptivity level as an index sorted in ascending order, age groups as columns and percent change in student counts as values.",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "c29da78e9936f0e787b003ed147978d8",
    "query": "What is the difference between average class duration among students having low and high adaptivity?",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "bc7e235297e6cbb2da6396f756db46aa",
    "query": "What is the least possible age of students having high adaptivity?",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "8dacea3c34a343ab1e3e4b486db70360",
    "query": "What is the percent change in student adaptivity for every increase in average class duration?",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "5bb9578744610753420c41f9b0cd2d6b",
    "query": "What percentage of the total number of students within each financial status is able to shed high load and achieve high adaptivity?",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "0b1c96059277e3014b15e9d48d6e5e27",
    "query": "What is the percent of students across each adaptivity level for every combination of device used and class duration? Return a dataframe with device used and class duration as a nested index and adaptivity levels as columns.",
    "table_ids": [
      "5d26e639c1aa0ef80af5f3975ec5ee87"
    ],
    "metadata": {
      "notebook": "students-adaptability-level-in-online-education/notebook_1.ipynb"
    }
  },
  {
    "_id": "85fbcc5909d5c282e50d1fcdaba2bcc0",
    "query": "Convert the incorrect data types of numeric columns to numeric format.",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "c7cc1c22580eb6af8617cef540fa496c",
    "query": "Extract each show's release year and duration, and correct the convert data type to numeric.",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "8a2646a43e8002f53ff8ef88151888b4",
    "query": "Remove any special characters in the Genre column.",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "d3428159333aad30d150558ebc80d686",
    "query": "Create a column 'num_actors' which represents the number of actors in each show.",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "2fc280cf0a20e4dc45a0d0eed5551cbe",
    "query": "What is the average number of votes and ratings of romance shows released on or after the year 2010?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "fe2ccd4c860233e25e1df2c57824aae6",
    "query": "What is the percent annual change in rating for comedy shows?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "14db41c7e2a3e624ba515815a35da2ea",
    "query": "What is the average drama rating for each genre?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "f626f3efb2c0b0f28841f5eae58e65de",
    "query": "What is the average show duration of the genre with the highest rating?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "ce781b9400ae3a71fe32725f958cdc71",
    "query": "What is the annual percent change in votes for shows released in the last 10 years?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "b84614c8f5c197b67644c7d565d1bd8c",
    "query": "What is the five most common genres for shows released during the year having the highest percent increase in votes?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "f55d1633c683245275dabf5d7f463048",
    "query": "Who is the most common actor among all the shows listed? Show the actor's name and number of show appearances.",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "317f9458898c278552acf992f6e33389",
    "query": "What is the most common genre of shows acted by this actor?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "00cd65c0feac492ad30d92fe43a084cc",
    "query": "What is the average rating and number of votes of shows having the word 'love' in their title?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "c609c6c2e585feebfbf82b02d6a0a892",
    "query": "What is the median rating of shows that incorporate only one unique genre?",
    "table_ids": [
      "97eb3f469b297067da4646bbc2b4a918"
    ],
    "metadata": {
      "notebook": "ultimate-korean-drama-list/notebook_1.ipynb"
    }
  },
  {
    "_id": "ab7c9027c94a3daf819bda2e62c1a3ba",
    "query": "Convert the data type of the car prices to numeric data type.",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "eda54118c7fdab763db5787b3979b4c7",
    "query": "What are the top ten highest correlated features with car prices? Sort values based on their absolute correlation values.",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "1bb0b9d411839e6a827bfe5921ee8957",
    "query": "What is the average price and rating accross all categories of vehicles having a 3.5L engine for differenct car brands?",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "9ecb24c67ea6c6475d34021adcc37c41",
    "query": "Create a column 'engine_cap' representing the capacity of the car engines in liters?",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "45029aef825c40aa620bd76f89edbe90",
    "query": "What is the average fuel consumption in turbo charged and non turbo charged vehicles for each engine capacity? Return a dataframe with engine capacity as an index and whether the engine is turbo chared as columns.",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "45619eac3b2d5aec2c0a4b427fb45c18",
    "query": "How many different electric car models have been produced by each manufacturer each year? Return a data frame with the manufacturers as an index and years as columns.",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "5bda1d79608bd9cf34e744649cb338e7",
    "query": "Which car has the highest average rating across all categories? Show the manufacturer, model, year of production and price",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "6dd6f46e40129b5fb941528247a21833",
    "query": "What is the average price of every grade and condition of Nissan Altima models each year? Return a dataframe with car model and condition as a nested index and year of make as columns",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "183cfcbb7af7e5947a54d3d0964e03bb",
    "query": "What is the average percent change in car prices every year since 2010 for BMW and Merceded Benz vehicles?",
    "table_ids": [
      "9de06314dbd204e9960b9305b24db118"
    ],
    "metadata": {
      "notebook": "carsforsale/notebook_1.ipynb"
    }
  },
  {
    "_id": "234bfe041ce9249e94784e7f86875890",
    "query": "Find whether the dataset has duplicate rows and drop them if they exist. Show the total number of duplicated rows.",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "396fab45a2059b3b04ee71a8f662feaf",
    "query": "What is the number of donors having capital gains and donors having capital losses as a percentage of the total number of donors?",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "15296a24946ddb857a207a482b1a696e",
    "query": "What are the top three most common education levels of donors having an income level greater than fifty thousand? Show the result as a percentage of the total number of donors.",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "07f6f1779620c6c3ff4187202eea77ef",
    "query": "What is the donors' count and percent change in the donors' counts for every increase in education level?",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "930e1d9af696235bc9974c1c38c8ff49",
    "query": "What is the total number and average age of donors within each work class and every level of income? Return a dataframe with work class as an index, total number and age as columns and income level as indexed columns.",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "7e12e60d85d18fc4279463567513602d",
    "query": "What is the average capital gain and loss of donors with managerial roles?",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "a37f1b4142207c087901ae133ad58a9d",
    "query": "By how much is the average capital gain greater than or less than the average capital loss for donors within the most common work class?",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "d5b84c86d31ea9665252adac18ea27f8",
    "query": "Create a new column 'age_group' representing the different age groups of donors at intervals of 10.",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "598ee4ea663b8f2b2114bdd23cef5702",
    "query": "What is the percent change in average capital gain and capital loss for each age group?",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "dc9ba0c1759a503f70dff54a0b1ef6da",
    "query": "What is the most common work class within each age group? Return the most common workclass and the number of donors within each age group.",
    "table_ids": [
      "1c29a3e14e5ba835ca40203450572cc4",
      "a8a3d410f19fad4039e045ff0d428cc0",
      "64c6ae0d48b50ca1657c9ab1c9353787"
    ],
    "metadata": {
      "notebook": "finding-donors-for-charityml/notebook_1.ipynb"
    }
  },
  {
    "_id": "a87fa763a6ee77c9b7ed7d99542745a7",
    "query": "Change the incorrect data type of date columns to the correct date data type.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "0243998b94ba57bd2d6f74e413d86f72",
    "query": "What is the correlation between different news types and the closing daily stock prices? Sort the correlated features in descending order.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "7681cbdf7f553b77703c5acecf60fee9",
    "query": "What is the cumulative month-over-month percent change in Amazon's stock closing price?",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "e2b1caa3557c012bc3b85044b21aaa2b",
    "query": "Calculate the year-to-date performance of each stock within each sector.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "2f05815ec7a82ec7868ac59b844d2b3b",
    "query": "Which stock had the highest year-to-date percent change in closing price?",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "8fa9ad3127f96b2518d238d01cbb0291",
    "query": "Rank the sectors from best to worst based on each sector's year-to-date average stock performance?",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "ab0e60585a3d1f3414a1fe73c1aa6879",
    "query": "Show the sectors that had the highest share of positive news. Sort them from highest to lowest.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "b1bd967a16ce851402e2a7f567256ddd",
    "query": "What is the monthly percent change in total news volume for each sector. Return a dataframe with the sectors as columns and months as an index.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "61a33cafe9850b13a7a6ee7a53f755d6",
    "query": "Which week of the year had the highest share of negative news in 2022?",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "318756d1cbed7057e20dba4e15e8c57e",
    "query": "Which stock has the best year-to-date performance within each sector? Return a dataframe with sectors as an index and stock name and performance as columns",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "2bca22c3182fe5e2b35b88e673ba2b76",
    "query": "Calculate the monthly volatility of each stock by dividing the monthly standard deviation by the monthly average closing stock price.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "41ce6f47b4dca5c06513443980bff3b4",
    "query": "Which stock had the highest monthly volatility each month? Show the stock name and volatility.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "70e541140e87e554c8ddbd6e5334538a",
    "query": "What is the year-over-year performance of each sub industry within the Energy Sector?",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "d810931a689582f37f3fe45ad5d1676a",
    "query": "What is the distribution of the volume of news accross all sectors in the last three months? Sort the result in descending order.",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "9f9a9f7845c3410688af591d8ccbddca",
    "query": "What is the cumulative quarterly return for each sector? Return a dataframe with the sectors as index and annual quarters as columns",
    "table_ids": [
      "abe4ffe3bb851e8e5d65a90f368de54b",
      "b4c20afd28b2f4fcc4b24350cbd3b451"
    ],
    "metadata": {
      "notebook": "stocknewseventssentiment-snes-10/notebook_1.ipynb"
    }
  },
  {
    "_id": "957c25f30522abae44f3d08f3301e348",
    "query": "What is the median rating of hotels belonging to the most common company?",
    "table_ids": [
      "83cd32064142beff34ee11ac22995db2"
    ],
    "metadata": {
      "notebook": "travelleisure-worlds-best-hotels-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "51db5b189ee5fec69518a6bdb5fe6d3f",
    "query": "Which country within each region has highest average hotel ratings? Show the region, country and average hotel rating.",
    "table_ids": [
      "83cd32064142beff34ee11ac22995db2"
    ],
    "metadata": {
      "notebook": "travelleisure-worlds-best-hotels-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "6925163d07e8edcccee914a7663c34a1",
    "query": "What is the correlation between the number of rooms in a hotel and its rating?",
    "table_ids": [
      "83cd32064142beff34ee11ac22995db2"
    ],
    "metadata": {
      "notebook": "travelleisure-worlds-best-hotels-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "a040c65a4edd123bdbc9834f8c6e3f40",
    "query": "Which hotels had a worse ranking this year than in 2021? Show the hotel name, location and the difference in ranking from last year.",
    "table_ids": [
      "83cd32064142beff34ee11ac22995db2"
    ],
    "metadata": {
      "notebook": "travelleisure-worlds-best-hotels-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "339ba95688744d76d908afb017376710",
    "query": "What is the average rating of hotels that were opened on or before and after the year 2000?",
    "table_ids": [
      "83cd32064142beff34ee11ac22995db2"
    ],
    "metadata": {
      "notebook": "travelleisure-worlds-best-hotels-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "45d89ca5a665170a777955887e838eb1",
    "query": "For each hotel theme, which country hosts hotels having the highest rating? Show the theme, country and average hotel rating.",
    "table_ids": [
      "83cd32064142beff34ee11ac22995db2"
    ],
    "metadata": {
      "notebook": "travelleisure-worlds-best-hotels-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "fc0b5316584009207d608775b589f1c2",
    "query": "Which aircraft incident had the highest number of total serious injuries? Show the event registered number and event type description.",
    "table_ids": [
      "8de9c9b20c63ed79da352010bafa28aa"
    ],
    "metadata": {
      "notebook": "aircraft/notebook_1.ipynb"
    }
  },
  {
    "_id": "5e9b9810408b068dcef4fbeb39735503",
    "query": "Which hour of the day had the highest number of reported aircraft events?",
    "table_ids": [
      "8de9c9b20c63ed79da352010bafa28aa"
    ],
    "metadata": {
      "notebook": "aircraft/notebook_1.ipynb"
    }
  },
  {
    "_id": "39d27fb51bd8f45f45df3dafc0a60a81",
    "query": "What was the total number of injuries during that hour?",
    "table_ids": [
      "8de9c9b20c63ed79da352010bafa28aa"
    ],
    "metadata": {
      "notebook": "aircraft/notebook_1.ipynb"
    }
  },
  {
    "_id": "9ea61404b1849bf1c6d2bc8d36eb0b15",
    "query": "How many events occurred in each state during each hour? Show the state names as an index and hours as columns. Replace nans with 0.",
    "table_ids": [
      "8de9c9b20c63ed79da352010bafa28aa"
    ],
    "metadata": {
      "notebook": "aircraft/notebook_1.ipynb"
    }
  },
  {
    "_id": "f0e5099d1d282fc7b3f04d43e893bd9a",
    "query": "In which state did an aircraft crash into the trees?",
    "table_ids": [
      "8de9c9b20c63ed79da352010bafa28aa"
    ],
    "metadata": {
      "notebook": "aircraft/notebook_1.ipynb"
    }
  },
  {
    "_id": "44c9c284b03a5b2fa3024bb2cad3e140",
    "query": "Convert percentages in 'International_students' and 'Student_satisfaction' to floats.",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "93b8cbdb88c5fe252f1d293bcebb9550",
    "query": "Create two columns, 'lower_enrol' and 'upper_enrol', representing the upper and lower bounds of student enrollments for each university.",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "159f3b8691fadd1dc47a499a7828f432",
    "query": "Create two columns, 'lower_staff' and 'upper_staff' similarly. Replace 'over' values with 5000.",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "ad39ab88e9bdc5348c56f6e9371fdd79",
    "query": "What are the top five highly correlated features with the average post-graduate fees? Sort values based on the absolute correlation value",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "3f70aed9fa69fef164999729bbc9a648",
    "query": "What is the highest student satisfaction score at different regions having an average cost of living of eight thousand pounds or more?",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "91c6caf38ff72711b755286d79739c2a",
    "query": "Among those regions, what is the average rating of universities within the region having the highest average cost of living?",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "a784f463a1cae3c1321e2efae8f2b2e0",
    "query": "Which university within each region has the highest average percentage of international students? Show the region, university name and percentage of international students",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "0e589867ec00686562b9a739d2fe8233",
    "query": "What is the average CWUR score for universities having an average student satisfaction of more than or equal eighty compared to those having less than eighty?",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "e655977f4321f8f751284ec288c8ee96",
    "query": "Which university within each campus setting has the highest average student satisfaction score? Show the campus setting, university name and student satisfaction",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "ad44ef47c354070963e54b97e8b5d3a6",
    "query": "What is the average academic staff enrollment of the universities that were founded within the 19th and the 20th century?",
    "table_ids": [
      "76d365998f39bcccbcb263a14a6d907e"
    ],
    "metadata": {
      "notebook": "best-universities-in-the-united-kingdom/notebook_1.ipynb"
    }
  },
  {
    "_id": "b7a403a91abae625ee5efb869b3f1f20",
    "query": "How many events occurred in each country every quarter of every year? Show the quarter as an index and country names as columns.",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "bc1e9302cfd2e7ab83c75794e31684fb",
    "query": "Which country had the highest number of reported events in each of those time periods? Show the period as an index and country name and event counts as columns",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "a43016c5b9bfba9d11b3e3c8461c01eb",
    "query": "How many events were reported during each hour of the day for every category of landslides? Show the hours as an index and categories as columns.",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "4360819f1a69e99a5ea6ffb69fa57d50",
    "query": "What are countries impacted by the top five most fatal landslide categories?",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "4ed776a3c609090b07563ca78c1015a1",
    "query": "What is the average division population for different countries having events involving heavy rain?",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "5b5b3d090bd2f6a3a19daeb2543be5aa",
    "query": "Convert the location_accuracy column to the the correct numeric data type. Represent the values in kilometer units and replace 'unknown' and 'exact' values with null and 0, respectively.",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "cb6c536f1143b6f3babeaee0fbae9021",
    "query": "What are the average injuries and fatalities for each category of landslides for events occurring at a location accuracy between five and fifty kilometers?",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "86c4c06164cf4c6e688b0ec8bbdfd698",
    "query": "Which countries were at all impacted by those categories having an average fatality count of five or more? Show the country names and number of events as percentage of the total.",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "5200080a20189e7f875a6f9dd0a81a8d",
    "query": "Which trigger caused the highest total number of fatalities in each country? Show the countries as index and trigger and total fatalities as columns",
    "table_ids": [
      "d71e236ddb2e44d14db0f615f6ee5673"
    ],
    "metadata": {
      "notebook": "global-landslide-catalog/notebook_1.ipynb"
    }
  },
  {
    "_id": "4e8be51f4badff73683c55417e49d75d",
    "query": "Merge the relationship dataset with content and user.",
    "table_ids": [
      "1855ae849269d069a3f5eceb46466dad",
      "552bb06dc48972bb61ee6172a13b7a83",
      "8690eefdbf15b1c59dac0bbc57f14425",
      "caa495132582e40a352ec1d6438a13e1"
    ],
    "metadata": {
      "notebook": "rise-research-innovate-solve-excel/notebook_1.ipynb"
    }
  },
  {
    "_id": "d18a132ea84fe2d50de83d92747b83c4",
    "query": "What is the most common genre within each location? Show the location as an index and the genre and number of users as columns",
    "table_ids": [
      "1855ae849269d069a3f5eceb46466dad",
      "552bb06dc48972bb61ee6172a13b7a83",
      "8690eefdbf15b1c59dac0bbc57f14425",
      "caa495132582e40a352ec1d6438a13e1"
    ],
    "metadata": {
      "notebook": "rise-research-innovate-solve-excel/notebook_1.ipynb"
    }
  },
  {
    "_id": "de6b85ddb06816c2abe8b977beb91194",
    "query": "What is the percent change in the number of different series and movies released each year? Show the year as an index and movies and series as columns",
    "table_ids": [
      "1855ae849269d069a3f5eceb46466dad",
      "552bb06dc48972bb61ee6172a13b7a83",
      "8690eefdbf15b1c59dac0bbc57f14425",
      "caa495132582e40a352ec1d6438a13e1"
    ],
    "metadata": {
      "notebook": "rise-research-innovate-solve-excel/notebook_1.ipynb"
    }
  },
  {
    "_id": "be6c01c1f9b71808903133285147416b",
    "query": "What is the average rating for series having an episode count of more than or equal to ten compared to less than that?",
    "table_ids": [
      "1855ae849269d069a3f5eceb46466dad",
      "552bb06dc48972bb61ee6172a13b7a83",
      "8690eefdbf15b1c59dac0bbc57f14425",
      "caa495132582e40a352ec1d6438a13e1"
    ],
    "metadata": {
      "notebook": "rise-research-innovate-solve-excel/notebook_1.ipynb"
    }
  },
  {
    "_id": "194b37bd98d543b0e8228d6ac3895d21",
    "query": "What is the most watched show that starts every hour? Show the hour as an index and content id and user counts as columns",
    "table_ids": [
      "1855ae849269d069a3f5eceb46466dad",
      "552bb06dc48972bb61ee6172a13b7a83",
      "8690eefdbf15b1c59dac0bbc57f14425",
      "caa495132582e40a352ec1d6438a13e1"
    ],
    "metadata": {
      "notebook": "rise-research-innovate-solve-excel/notebook_1.ipynb"
    }
  },
  {
    "_id": "a424256b2502776443c7e37b4a4cb145",
    "query": "What is the number of shows viewed in distinct languages within each genre as a percentage of the total number of shows within each genre? Show the genres as an index and languages as columns",
    "table_ids": [
      "1855ae849269d069a3f5eceb46466dad",
      "552bb06dc48972bb61ee6172a13b7a83",
      "8690eefdbf15b1c59dac0bbc57f14425",
      "caa495132582e40a352ec1d6438a13e1"
    ],
    "metadata": {
      "notebook": "rise-research-innovate-solve-excel/notebook_1.ipynb"
    }
  },
  {
    "_id": "5c5ac40b72deeb3abb9ca717a0229005",
    "query": "Convert the 'fiscal_year' column to numeric data type.",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "1c9f6f46f01dd2b42e7fb25808313b5c",
    "query": "What is the annual percent change in total constant dollar amounts received by high income countries?",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "26d75b5bc49e5f1c50a3dda49b6fef73",
    "query": "Which country within each region has the highest average annual financial aid, in constant dollar amount? Show the region name as an index and countries and dollar amounts as columns",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "7b4e6cbae87cc826e855e13dd78cfaf7",
    "query": "Which region received the highest total aid, in constant dollar value, for disbursement transactions? Return the region name and the constant dollar amount.",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "a0e03a9cc0ff2fbf01767857bd099815",
    "query": "What are the top five countries within that region receiving the highest average annual constant dollar aid amount? Show the country names and aid amounts.",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "81d44d097c595a340466c5a5aadf3e63",
    "query": "What is the share of total constant dollar aid amounts for disbursements and initial allocations accross different regions as a percentage of the total?",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "df1845a703e46e6320410f9838453707",
    "query": "What is the cumulative annual financial aid received by countries in the East Asia and Oceania region, in constant dollar value? Show years as an index and countries as columns. Replace nan with 0.",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "da9330b4fe5881e1d63abc00dfa6f4c0",
    "query": "What is the annual percent change in aid amounts, in constant dollar value, across all income groups?",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "d965a63e4822ba947dd14c498481ca74",
    "query": "In which year, within the last ten years, did Israel receive the highest amount of financial aid, in constant amount? Show the year and amount received.",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "c0b78f5343b57ba7d813b1c65b7026c2",
    "query": "How does the financial aid constant dollar amount received by Israel compare to the rest of the countries in the same region for that year? Show the result for each country as a percentage of the aid amount received by Israel.",
    "table_ids": [
      "e24681ee5b83c24bfd2bc07c802d7ba6"
    ],
    "metadata": {
      "notebook": "us-foreign-aid-country-foreign-assistance/notebook_1.ipynb"
    }
  },
  {
    "_id": "856800649db34945bf452d306c9cedcb",
    "query": "Remove \"%\" from all percentages columns and change the column type to float",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "c68525daab271f4397731a88b8991042",
    "query": "Is the average safety score in Switzerland more than eighty?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "6105e526be8f6b6b027bd8ee05a5a18b",
    "query": "From the top twenty cities ranked in 2022, which city was impacted by covid the most?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "fe387b96a8f48bd987a9bd8bd105df71",
    "query": "How many cities in the UK are there whose employees take less than 80% of their minimum vacations?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "cd38c3a98ad9de7657cc6b128dcabc5b",
    "query": "What is the average covid support score for cities that have an inflation rate of more than 80% quantile?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "a8f442b909c330da23c5369be2a8cc02",
    "query": "What is the average unemployment score for each country that has an average safety score between 50 and 80?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "27343d38336eedc40da198e4eb2563ff",
    "query": "From these top five scores, which country has the highest average total score?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "897c3025590c9636849ad7eb9143d90f",
    "query": "Which cities have their ranks changed by one from 2021 to 2022?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "81c9f9193d421f1ce95254576a968bce",
    "query": "Which of these cities' country has the highest average score in affordability?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "3febbc15ab5f75a06960238d184f6b91",
    "query": "What is the average happiness score for cities that have only two or less points difference between affordability and safety?",
    "table_ids": [
      "767de3bda506e9fdd22c765f11618c9d"
    ],
    "metadata": {
      "notebook": "cities-with-the-best-worklife-balance-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "133cc17baa482fa157a7f8761322eb19",
    "query": "Fill null values in the project description column with the same value in the award description column if it exists",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "597a37be047a98e6dd5a7a752c9f7dbe",
    "query": "Show a list of the prime recipients who spent more than 95% of the awarded amount",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "4110beb2f5d89cc87cf077946b3441b8",
    "query": "What is the percentage of the money spent for each spending category out of the total spent in Denver? Sorted from the highest to the lowest",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "4abae852d1057e42964666d6058ef722",
    "query": "From these categories, which of them are within the top five spending categories in TX-WILLIAMSON County?",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "0dfe8d0e6faeed3e6e8a5d8425ce3a4f",
    "query": "What is the total money spent for each state rounded in millions? (Show the values sorted from the highest to the lowest)",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "8738f13d101fc32cb2e557d0173a9cce",
    "query": "What are the top five awarded sub-recipients in Colorado state?",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "6d5f2e7c01495f551b7a6b2c37c4e870",
    "query": "What is the percentage of money spent out of the awarded amount for these sub-recipients?",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "327252355b3445032e9725b17bef37bb",
    "query": "Which County has the highest total money spent in these sub-recipients?",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "025d382fc9d9e9f6e72cb44e8dee488d",
    "query": "What is the most used award type in this County?",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "9cd15b3f3e026bfde1a831d963e8ccf5",
    "query": "Were Chicago\u2019s amount of awards received higher than that of Phoenix\u2019s?",
    "table_ids": [
      "2050cfa47740823386759b2953b2e458"
    ],
    "metadata": {
      "notebook": "crf-data-full/notebook_1.ipynb"
    }
  },
  {
    "_id": "6eef9fb62cb1dc47b81d5d6faf3812c6",
    "query": "How many new cars have a performance rating of more than 3?",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "0e79644ef5bc70d545d1c6c88f7aaed3",
    "query": "Among the Hyundai Kona reviews, do those with a purchase history have average performance rating better than the ones that have not yet been purchased?",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "5a70f13e44d797c1a1fc2b1b4383ebcf",
    "query": "Create a new column called \"Review's Word Count\" and Show the rating of the shortest review",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "57137923ad12efb24de651bd20585113",
    "query": "Which model has the highest average word count?",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "8eb0055c66bf6a1463d70f55cca20af1",
    "query": "How many reviews are for used cars for this model?",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "114b3e5eab0702b44d0155fde17952d5",
    "query": "What are the top five models with most number of bikes having mileage less than 5000 kilometers",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "93ee0dbe7acae2d8c474fd6715a525b7",
    "query": "Which of these models has the highest comfort score on average?",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "d9bd5980b9546ad5500b57f34e72ef88",
    "query": "What are those models mostly used for?",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "92debadfa98ac9fa4d7c2c4b2232323c",
    "query": "How many times the word scooter was mentioned in the bike's reviews?",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "db35a57a0f54b4dab7a6d8e9f38b11c4",
    "query": "Show a list of words that were mentioned only once in the reviews",
    "table_ids": [
      "c7b2af27446161d93c45977ee494b758",
      "08bfa4b6850fbcce1c641d9fd66bd36b",
      "9c98e71fac8ff89956509fc84aaa2b80"
    ],
    "metadata": {
      "notebook": "ev-cars-user-reviews-india/notebook_1.ipynb"
    }
  },
  {
    "_id": "ef6b26954062fffb29c4448885e729eb",
    "query": "Extract min and max (if applicable) hours as two columns",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "006b565d72c7c40af7edecedec514901",
    "query": "Convert Gamers column from string to integer and find in which year were the most played game was added",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "599bd7b98e825f2e7336b63b72cfd50c",
    "query": "For each month in that year, how many games that has a rating of more than four?",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "4ddd02d2f5f1c691dc029296e2f5022c",
    "query": "What is the average ratings of games that were added in 2022 and have a minimum completion time of more than or equal to eighty hours?",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "56ca7a94f7c72360610d91388af860f3",
    "query": "What is the number of games which were completed by more than ten thousand players in each year?",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "1d3935eb4283443a998bcbef6a19eb9a",
    "query": "What is the percentage of the players who completed Mass Effect games out of all Mass Effect gamers?",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "e4e4dcd5cc330fa2dbdc71b9a359e9bc",
    "query": "What is the average maximum completion time for all fallout games added in 2021?",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "230a93c2cff71599da55cd4a30b42ab1",
    "query": "What is the amount of games added in each year for each month? (show a table with index as years, columns as months and fill null values with 0)",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "0499be7f5ee6b86538ee107ee38f779e",
    "query": "What month has the highest number of games added?",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "6b5adebe717b3680d742d241076cc244",
    "query": "Which game has the highest number of players added that month?",
    "table_ids": [
      "11c784ad653db182155b9f3c5e1ffcd2"
    ],
    "metadata": {
      "notebook": "xbox-game-pass-games-library/notebook_1.ipynb"
    }
  },
  {
    "_id": "e15fc9fc042fc8767670a423ee0b3f27",
    "query": "Make a new column 'Credit_Hist_yr' contains 'Credit_History_Age' in years unit and replace nulls with their median",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "ffda28a1516cb4f803db7a79e2fc3e93",
    "query": "How many Lawyers called Ricko?",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "c8dae1d34508799ff0b59526e3414243",
    "query": "Remove _ and \" from strings, also replace any string has empty string, 'nan', '!@9#%8', '#F%$D@*&8' with null",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "c09624281c646a3165c0fcdb846d8c36",
    "query": "Split Payment Behaviour's column into Spent and Payment columns",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "be84371fb51fbad110dc65c03d38b666",
    "query": "How many customers have poor credit scores yet have less numbers of loans than the average amount of loans taken out by customers with good credit score?",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "15299c0df9093e04f7b7cc52429b06dc",
    "query": "Convert Customers IDs into integer",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "9b403bcda5ba471900571ac3c7dc53ae",
    "query": "Convert Social Security Numbers into float",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "14d22769c2a5116fd51c27426b6b86f4",
    "query": "What is the average monthly balance for each occupation with every payment category?",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "ed2ac176bfc81b9bcc718432acc5c7c0",
    "query": "What are the top 5 occupations that have the highest annual income? Show the occupations and their mean annual income",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "24d676030181dd7473da4e414c371790",
    "query": "What is the percentage of amounts invested by each customer from their annual incomes? Show the customer IDs and their percentage",
    "table_ids": [
      "2671b559b51eda7bde13304687d5eb1c",
      "6902ad4fe39789ef90b3c48daca172b5"
    ],
    "metadata": {
      "notebook": "credit-score-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "266f1b5b68fb1a9e1e43b22e49487711",
    "query": "What is the percentage of people who work full time in companies located in the US? (rounded to 2 decimal places)",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "c2a89bd6eddba41801f79a678419abd9",
    "query": "What are the top 10 salaries for Senior Data Scientists?",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "c8dce80c7c14f70d1553697e0a756e54",
    "query": "What is the average salary for each position in every company size?",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "4cd2ac044b93f1a448567abc1af76e2e",
    "query": "How many research scientists are paid above 80% percentile?",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "3c3f0473ba9d5dd9baf861926c7dc8ab",
    "query": "What are the percetages of each remote ratio for every year? (rounded to 2 decimal places)",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "c996fb1270bf2ba292f96fdf9b8d49ac",
    "query": "How many job titles has Scientist in it?",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "e1bfcf92dcd2cef5677226f141598be3",
    "query": "Create a new column 'Salary_Cat' contains the salaries in catagories ( Low: <=65000, Average: 65000-150000, high: >=150000)",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "d53a23c08fe3537f4a3ca6e7932ebf61",
    "query": "Calculate the number of unique values in each column, show the column names and unique counts",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "a69dbf6e4a1d50397641a3c85db6ad58",
    "query": "What are the top 5 positions for working remotely with entry level experience? Show the job title with the mean salary",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "cfd51878a29816ed460ea5c810a6984b",
    "query": "Which are the top 10 highest paying countries? Show the comapny location, mean salary and count of jobs",
    "table_ids": [
      "c04106c18716017e3012aaaff4ac01ad"
    ],
    "metadata": {
      "notebook": "data-science-job-salaries/notebook_1.ipynb"
    }
  },
  {
    "_id": "f6e222729bb672c11b69f083206d8701",
    "query": "Reassign values contains 'Hz' in the picture quality and speaker columns to frequency also replace the incorrect values in these columns with nulls",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "43de519bdfff25131557237bd5349c5c",
    "query": "Remove \u20b9 from the current price and the original manufacturer's price, also change their type to integer",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "9d23f935ec6723a6784c3788015173eb",
    "query": "Are televisions with higher ratings more expensive? Compare between the average original prices above the ratings mean and below it.",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "b1e248e3a7d42779f0033c4cd90b2560",
    "query": "How expensive each product's average current price from it's average orginal price? Sort values from the highest to the lowest",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "513ad7158c151b8acabd6e2f4cf5cd28",
    "query": "What are the top 5 most selling television frequencies? Show the frequencies with their counts",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "2ad9a5ac1bec4ce386b7bf475395b5f0",
    "query": "Which companies have 0 ratings and 0 reviews?",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "ca557ccf80debb71d2295585bb589273",
    "query": "What are the top 5 operating systems used in televisions?",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "d23f7f23e61bdb23ec0ba48d16c8c274",
    "query": "Which companies have more than 4 stars but 0 reviews? Show company name, stars and reviews",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "cbe39efd24965cbc97bf71845a0d26ce",
    "query": "Change the stars column to catagories ( Bad: <=2, Average: 4-2, Good: >=4)",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "e9f8fd620da08b794952d1d198b43c81",
    "query": "What are the mean selling price of each company for every star category? Show a table with companies names as index, star categories as columns and the mean selling prices as values and rounded to 2 decimal places.",
    "table_ids": [
      "305ff66dad24b16bec5cd100f975f7cf"
    ],
    "metadata": {
      "notebook": "television-dataset-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "2d4c4da397cae464d24d1f1b5466c0d2",
    "query": "What is the total number of delayed cases in 2021? Show column name as index and the sum as value",
    "table_ids": [
      "7ccebd9b34448bd4f19b5d6542523b41",
      "4068574a5c6f7803d3b3735a092c9672",
      "8457fab1b21d6e8805d10613660ae42e",
      "b68aecd3bedca019cc5f077bbc39d6ff"
    ],
    "metadata": {
      "notebook": "district-and-taluk-court-cases/notebook_1.ipynb"
    }
  },
  {
    "_id": "4d55ee7648f440cd0d56cbebbfab4a7e",
    "query": "Which state has the most civil cases filed by women?",
    "table_ids": [
      "7ccebd9b34448bd4f19b5d6542523b41",
      "4068574a5c6f7803d3b3735a092c9672",
      "8457fab1b21d6e8805d10613660ae42e",
      "b68aecd3bedca019cc5f077bbc39d6ff"
    ],
    "metadata": {
      "notebook": "district-and-taluk-court-cases/notebook_1.ipynb"
    }
  },
  {
    "_id": "b01d3c827ddee472b39d7ff7031b539c",
    "query": "In what city is the highest spending customer located in?",
    "table_ids": [
      "1475d83ad620cd4d5fcad16ea26bcbbd"
    ],
    "metadata": {
      "notebook": "simulated-customer-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "23b4bab2987e448077872bf861b841c7",
    "query": "What is the mean age of customers located in Simsinnati with children? Show the value as integer",
    "table_ids": [
      "1475d83ad620cd4d5fcad16ea26bcbbd"
    ],
    "metadata": {
      "notebook": "simulated-customer-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "5afc67e98afbad7c49ed6a04c9a6fa76",
    "query": "Where are the top 10 customers receiving the highest incomes located?",
    "table_ids": [
      "1475d83ad620cd4d5fcad16ea26bcbbd"
    ],
    "metadata": {
      "notebook": "simulated-customer-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "cfe4faae6212e273a807200360597db6",
    "query": "How many male customers have made a review on their previous purchase?",
    "table_ids": [
      "1475d83ad620cd4d5fcad16ea26bcbbd"
    ],
    "metadata": {
      "notebook": "simulated-customer-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "78cf1217255769d6260a8edc553192f2",
    "query": "What is the mean income for customers who have master's degree? (Rounded to 2 decimal points)",
    "table_ids": [
      "1475d83ad620cd4d5fcad16ea26bcbbd"
    ],
    "metadata": {
      "notebook": "simulated-customer-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "8d6d1de4f5509b324181f6df256eddc6",
    "query": "How many customers receive an income of more than 95 percentile?",
    "table_ids": [
      "1475d83ad620cd4d5fcad16ea26bcbbd"
    ],
    "metadata": {
      "notebook": "simulated-customer-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "59b8b9f31306bf741783ff6ee8dd8514",
    "query": "How many women was her first time to purchase?",
    "table_ids": [
      "1475d83ad620cd4d5fcad16ea26bcbbd"
    ],
    "metadata": {
      "notebook": "simulated-customer-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "3f75f4fc532786a349b77eba80b1a3b0",
    "query": "Change birth_day column to integer, replace values above 30, below 1 and non-integer values with the column's median",
    "table_ids": [
      "e5a676c09f66fbaabb7e709618a90db6"
    ],
    "metadata": {
      "notebook": "student-performance-gce-al-exam-2020-sri-lanka/notebook_1.ipynb"
    }
  },
  {
    "_id": "7d88bf67d56687cd416ea41f3f49d0eb",
    "query": "What is the total number of students born on each month of the year for each gender (0:Male,1:Female)? Row indices are the gender categories and the columns are the months of the year.",
    "table_ids": [
      "e5a676c09f66fbaabb7e709618a90db6"
    ],
    "metadata": {
      "notebook": "student-performance-gce-al-exam-2020-sri-lanka/notebook_1.ipynb"
    }
  },
  {
    "_id": "5c7555200b244bd90cce7724b116b19e",
    "query": "What subjects do students take in Arts?",
    "table_ids": [
      "e5a676c09f66fbaabb7e709618a90db6"
    ],
    "metadata": {
      "notebook": "student-performance-gce-al-exam-2020-sri-lanka/notebook_1.ipynb"
    }
  },
  {
    "_id": "0a2852addfbd566048aca14440a363fc",
    "query": "What are the streams taken by students who have ranked within the top 10 in their district?",
    "table_ids": [
      "e5a676c09f66fbaabb7e709618a90db6"
    ],
    "metadata": {
      "notebook": "student-performance-gce-al-exam-2020-sri-lanka/notebook_1.ipynb"
    }
  },
  {
    "_id": "242243da44e314de13721d521eebdfb6",
    "query": "How many students were absent in more than one subject?",
    "table_ids": [
      "e5a676c09f66fbaabb7e709618a90db6"
    ],
    "metadata": {
      "notebook": "student-performance-gce-al-exam-2020-sri-lanka/notebook_1.ipynb"
    }
  },
  {
    "_id": "d34fa18f18f2ba92cc76017867928024",
    "query": "How many distinct vehicle categories having the word 'Bus' does Ford produce?",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "369063ea3c735d580d4fd614cbc911a4",
    "query": "Drop columns with more than 70 percent null values",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "ce1c26ade445cd86d2009801b33bfd2b",
    "query": "How many models does each manufacturer have for each year? (Years as index, Manufacturer as columns and fill null values with zeros)",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "2c02f79ce991552aaa19883545a52f88",
    "query": "For the different categories of hybrid electrical vehicles, what are the average combined fuel economy? (Sorted from the highest to the lowest)",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "b1117f23364e12548686b07d891c0bb0",
    "query": "How many models did Audi manufacture in 2022 for each drivetrain?",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "7fc45d9236adc32778389c555e201750",
    "query": "How many toyota models have a six-cylinder engine?",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "32aa9ac7c3e40d67134d7bb6a990dc4e",
    "query": "How many quattro models have Audi produced thus far?",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "f6c97cdfeff241243655648a99e7ba5b",
    "query": "What is the most common type of engine used in the production of automatic vans?",
    "table_ids": [
      "2f136339df4d17af97dcfc39455bd751",
      "8c2a7c45202cf713c62860e15811f57d",
      "acc52d3dcc74e243596af7ca8b591486"
    ],
    "metadata": {
      "notebook": "alternative-fuel-vehicles-in-the-us/notebook_1.ipynb"
    }
  },
  {
    "_id": "bd6763ec756eeb451e64f75d2095fb3f",
    "query": "In which year was the first premier league game played in?",
    "table_ids": [
      "ed5081e3009ae55db610723424ea9ce3"
    ],
    "metadata": {
      "notebook": "complete-football-data-89000-matches-18-leagues/notebook_1.ipynb"
    }
  },
  {
    "_id": "6de11798d92126297ee9a26f75c519ad",
    "query": "Which league has the most played games?",
    "table_ids": [
      "ed5081e3009ae55db610723424ea9ce3"
    ],
    "metadata": {
      "notebook": "complete-football-data-89000-matches-18-leagues/notebook_1.ipynb"
    }
  },
  {
    "_id": "9900f5165de5627d35b1992739e1b68a",
    "query": "How many times has Swansea played at home against different teams in the championship?",
    "table_ids": [
      "ed5081e3009ae55db610723424ea9ce3"
    ],
    "metadata": {
      "notebook": "complete-football-data-89000-matches-18-leagues/notebook_1.ipynb"
    }
  },
  {
    "_id": "395a9ebcde71d64dd8b4ccecf62faeb2",
    "query": "How many goals did Cardiff score at home in premier league in 2014?",
    "table_ids": [
      "ed5081e3009ae55db610723424ea9ce3"
    ],
    "metadata": {
      "notebook": "complete-football-data-89000-matches-18-leagues/notebook_1.ipynb"
    }
  },
  {
    "_id": "d87e1e3ed86abb5c4ac3b918083742d3",
    "query": "What is the maximum total score in each league? (sorted from the highest to the lowest)",
    "table_ids": [
      "ed5081e3009ae55db610723424ea9ce3"
    ],
    "metadata": {
      "notebook": "complete-football-data-89000-matches-18-leagues/notebook_1.ipynb"
    }
  },
  {
    "_id": "8de2258c0d09c8a4be30fce177eefec5",
    "query": "How many draw games were played for each team at home in league two? (sorted from the highest to the lowest)",
    "table_ids": [
      "ed5081e3009ae55db610723424ea9ce3"
    ],
    "metadata": {
      "notebook": "complete-football-data-89000-matches-18-leagues/notebook_1.ipynb"
    }
  },
  {
    "_id": "90b76dae2e4fd6f008992fe858fd0205",
    "query": "Which league had the most number of missing players?",
    "table_ids": [
      "ed5081e3009ae55db610723424ea9ce3"
    ],
    "metadata": {
      "notebook": "complete-football-data-89000-matches-18-leagues/notebook_1.ipynb"
    }
  },
  {
    "_id": "b979e79b9abccc7bb7628606514780e5",
    "query": "What is the average age for all customers? (Casted to int)",
    "table_ids": [
      "010d966c99f7e23dc3a62361b05f8981"
    ],
    "metadata": {
      "notebook": "cuisine-rating/notebook_1.ipynb"
    }
  },
  {
    "_id": "073c5f4502fc26dbba5250e51e96b2af",
    "query": "What is the percentage of female students for each cuisine?",
    "table_ids": [
      "010d966c99f7e23dc3a62361b05f8981"
    ],
    "metadata": {
      "notebook": "cuisine-rating/notebook_1.ipynb"
    }
  },
  {
    "_id": "eca5a8515aba3a07a7dbf8f1dcb23f83",
    "query": "How many customers with an overall rating of under 3 often visit the restaurant?",
    "table_ids": [
      "010d966c99f7e23dc3a62361b05f8981"
    ],
    "metadata": {
      "notebook": "cuisine-rating/notebook_1.ipynb"
    }
  },
  {
    "_id": "7cc4610e8a684e3d56ea20f10e08954b",
    "query": "Do customers spend more at seafood cuisine than at other cuisines?",
    "table_ids": [
      "010d966c99f7e23dc3a62361b05f8981"
    ],
    "metadata": {
      "notebook": "cuisine-rating/notebook_1.ipynb"
    }
  },
  {
    "_id": "aacfc70289893aaf6310508441cfad28",
    "query": "Where are customers having an average food rating of more than 3 located? (Show the locations as index and the average as values sorted from the highest to the lowest)",
    "table_ids": [
      "010d966c99f7e23dc3a62361b05f8981"
    ],
    "metadata": {
      "notebook": "cuisine-rating/notebook_1.ipynb"
    }
  },
  {
    "_id": "56c40ef8d80a7adb2740883bc4eef328",
    "query": "What is the income of the customer that has the lowest credit score?",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "64e1ee25395b1d3e188f65a14ed4e87b",
    "query": "How many female customers receive an income higher than the average income?",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "dc2db6c0dd92e01b4a53394b5726b580",
    "query": "Which male customer has the lowest credit score within approved loans?",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "bf527a5b7ce30da4ce5d02bfd070e561",
    "query": "How many customers in each gender have an approved loan? (Sorted from the highest to the lowest)",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "2e25344373f9262a31bfc403e7dd9cea",
    "query": "What is the percentage of approved loans for each loan type?",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "da67dd9a3c2bbecb1a56db4cb4814a06",
    "query": "Show customers that have the highest income for each age group",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "d14536d14507797a4acf5360ad5d12a5",
    "query": "What is the total number of declined loans per each age group per gender? (show age as index and gender as columns)",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "cca12945c8c51113e40f0ecc5d1b6a6d",
    "query": "What is the average income of the top 10 customers that have the highest rate of interest and pre-apporved loans.",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "ddf766f5420b096a93e4ccab0651224d",
    "query": "What is the median term value for male customers located in south region?",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "39ed4566932ac0687f4d9fc17640e8e5",
    "query": "What are the number of approved loans in each region?",
    "table_ids": [
      "aa57d863c69e8f717fa7213c5eea23b0"
    ],
    "metadata": {
      "notebook": "loan-default-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "121178ad9bb62b2c6583c57c74058f37",
    "query": "Convert Levy and Mileage columns from object to integer.",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "4660a5b8dd6f54560e175ee6becf1082",
    "query": "How many turbo jeep cars does Lexus have?",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "b8e14ab13035b9aef0acf1a58f8469cf",
    "query": "On average, how many airbags does Honda have in their hybrid hatchback cars? Round  to the nearest integer.",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "c0a24dd76d603dfffbed8ac86eb63d36",
    "query": "Show a list of models produced by Ford after 2010 that have a six-cylinder engine.",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "21a40710a8fdbce169ab9a1fcb704542",
    "query": "Is the average price for a 4x4 Lexus higher than that of Lexus's different drive wheel types?",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "5d0d21f1878ae7362bb2a494c7e13965",
    "query": "How many different colors do Chevrolet cars have available for each model? (Show models and the number of colors in ascending order)",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "089b4625e4f0e0157da0fd982b9e04c2",
    "query": "How many non-hybrid left-hand drive cars have more than 2 airbags?",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "2e2b2880107e9b7b601c5d565e13118a",
    "query": "What is the average mileage per year in thousands for each manufacturer?",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "8ae00d4327dd7c4edaa79e54539b13c4",
    "query": "What is the most expensive car for each manufacturer?",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "20352aa587c36af9133a5a5870e0f354",
    "query": "What is the count of each model for each manufacturer? (Show a dataframe with the model, and count as columns)",
    "table_ids": [
      "4e9eed2d8e7dc54fb86abf9320412a92"
    ],
    "metadata": {
      "notebook": "car-price-prediction-challenge/notebook_1.ipynb"
    }
  },
  {
    "_id": "0f2d0b49bc8ee543c315646dc3a48f8b",
    "query": "For each gender, how many attrited employees over 18 for each travel category? (Show gender as index and travel categories as columns)",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "ea31fcc0a5bc56e0d377d91b42dc0992",
    "query": "How many attrited employees under the age of 30 traveled frequently?",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "da199411661f1330376686acdcde270e",
    "query": "What is the percentage of male employees who are over forty years old in each department?",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "b0b4c432b990149d4ca884731c9c6e93",
    "query": "For each job role, what is the percentage of employees in each job satisfaction category? (Show job role as the index, Job satisfaction as columns, and values to the nearest 1 decimal place)",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "31caac27b2e1da35b8bc4dabb8d3b399",
    "query": "What is the average monthly income for each decade of work experience?",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "fcaace9c2cfc07b1bb55a3d8826e40cd",
    "query": "How many married female employees have a higher monthly income in comparison to the average of all employees?",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "6cc67b2946fbcc557ed51ff88323ab4f",
    "query": "What educational field is studied most by divorced male employees? (show education field and its frequency)",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "1f0fbb5e46e9a5135bd62712b762afbf",
    "query": "What is the number of employees for each work-life balance category who are highly satisfied with their job and relationship?",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "d7f07e4aa95c8ce8979bd15e61d1dc99",
    "query": "What is the average monthly income for attrited employees with more than 10 years of experience yet who had never received a promotion?",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "ba976e3a24e0d3e258c135f7fd2f8cef",
    "query": "How many female employees live further away from work have high job satisfaction? (Distance>20 is far from work)",
    "table_ids": [
      "5c4beb148c5256bd12806034829332c3",
      "dfa8aa98c0871ad6885aadf1f59003f5"
    ],
    "metadata": {
      "notebook": "employee-attrition-for-healthcare/notebook_1.ipynb"
    }
  },
  {
    "_id": "628aa604f577613aff5374017e50ec29",
    "query": "What is the work type of patients that have high blood pressure who are sixty years old?",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "633c4f8c25a3c6915fd2f5c3f04599bc",
    "query": "Make a new column \"sugarlevel\" for glucose level categories (Diabetes:200+, Prediabetes:140-200, Normal:<140)",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "5c445df2c0d940feee8a80d5678a1cf7",
    "query": "What is the average BMI for each gender for patients with diabetes that have suffered from strokes? (Show dataframe that has gender and bmi as columns)",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "5fdf905691cf158a818ed92e033d246b",
    "query": "For each residence type, what is the youngest age of patients who have suffered from a stroke?",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "c3916a6f72f71bb5bd0998fe84b6b7d2",
    "query": "How many patients with heart disease smoke for each stroke category?",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "189da2358262cde7545151691f89aa65",
    "query": "Which residence type has the most number of patients not suffering from diseases?",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "86261165d682df3683ef5515f615cdcc",
    "query": "Show patients that suffer from only one disease.",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "767c095b220bcd61d8d1d9ca15b0a14d",
    "query": "What is the oldest age for a child with diabetes? (Show the age as integer)",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "35e59d368c03cdfe0ae4fa54dd1f9f65",
    "query": "What is the percentage of each gender that has suffered from a stroke?",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "fd5a1215cde7c66faa352add33262489",
    "query": "What is the percentage of married male patients who work for the government?",
    "table_ids": [
      "231ff2f85fa52a307ee40dabcae4e204",
      "e522f9b43d0edcfd5f2f2ca5b2a62cff"
    ],
    "metadata": {
      "notebook": "full-filled-brain-stroke-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "148e2b9af3c8f227656985eedcf995ab",
    "query": "Create a new dataframe by merging df_trade and df_iso, remove duplicated columns and calculate the number of null values in each column.",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "943a4c25e964ff78a70c95156c2f6e70",
    "query": "Remove columns that have only one distinct value.",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "d699ce5183f6f362950ee12ee24cd6a5",
    "query": "For each continent, What is the total trade value to the nearest billion annually? (Show years as index and continents as columns)",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "df1cba247c2c1683a6787cdd49010707",
    "query": "Which country has the highest trade value for each year? (Show year, country names, and trade value)",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "2ba7aa10ab1b085e71aab35fb0ac1325",
    "query": "What Continent has the most trade values?",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "cea1530c7727ca0faa8152b92054208b",
    "query": "What are the top 5 regions that import the highest value of chemical products? (Show the region and the total trade value)",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "ce4c57b6798cd4591f8f4c7b2d552002",
    "query": "What two countries are the highest importers of electricity?",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "0df8d27a91124ef28452364c0c56ae70",
    "query": "How many countries have a higher trade value than the average trade value of all countries?",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "73dbb4bd79e291784e1adcd80dbe269e",
    "query": "Show the annual trade value as a percentage of all time total trade value.",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "e4dde5507fdf584ee3d2ce3f81057abd",
    "query": "Which country has the maximum trade value in each Continent?",
    "table_ids": [
      "c7e794ad2f55c4b95d6765fe68526e34",
      "3b4ca07bad1f91bb70ace23466c11ab1",
      "4a619249f60251ceea06ba051d647385"
    ],
    "metadata": {
      "notebook": "russia-to-world-trade14m-data-points/notebook_1.ipynb"
    }
  },
  {
    "_id": "3714a3e3d869a8d63901b9dee3a12686",
    "query": "Show a list of the top five rated Nivea products.",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "7167dd4021f84c4eb2726db18f84c9e5",
    "query": "How many Claycraft products have the word gift in their descriptions?",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "2e9f2f2f4a583078e1206a1699f16c17",
    "query": "Which one of these products has the lowest sale price?",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "e7de799330cd4c936fac6f1906c5067e",
    "query": "Create a column \"Discount\" representing the difference between the market price and the sale price in percentage and show a list of the top ten discounted products.",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "ca11defbc90346b0a8e5eba5f66eff68",
    "query": "Which product has the highest discount in each type? Show a dataframe that has product,type and discount as columns",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "144ee0210493a0f43e1bf3ecdc8d27d3",
    "query": "How expensive are gourmet products compared to beverage products in average? Show the value as a percentage of beverage products.",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "a35da7d952e2a2a199f03de8b1127346",
    "query": "For each category, which brand has the most number of products with no-zero price and five-star rating?",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "00d749bdfa3e8b4d57464ebf0446e2ee",
    "query": "Which Morpheme Remedies' hair care product is the cheapest with a rating of more than 4?",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "14bdf6fbc280d9abc801f7545490fa6d",
    "query": "How many products are vegetarian based on the name or description?",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "76774beab71475b96e1bdce7f1d04497",
    "query": "What percentage of these products are dairy products with more than a 10% discount?",
    "table_ids": [
      "30ba0d3c5c5197328bf10b6df465c77f"
    ],
    "metadata": {
      "notebook": "bigbasket-entire-product-list-28k-datapoints/notebook_1.ipynb"
    }
  },
  {
    "_id": "4bbacb0b50077bc3124ca71e3cb5dd04",
    "query": "What are the top five age groups that exist in this dataset? (Show the age and percentage)",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "051d9b37c0355042d56ec8624bbe0171",
    "query": "Which of those age groups has the highest ratings",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "cf9ec8a2e470a37a8e17ce5fa9afde70",
    "query": "What item of clothing from each class has the highest rating?",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "b790d0424069158ae506082e57fa2943",
    "query": "What is the average word count of reviews for each department? (to the nearest integer)",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "ce2d86249a2dc2ee167e26b0194071fd",
    "query": "What is the percentage of the customers who recommended an item in each department? (from the lowest to the higehst)",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "a273f4cf06729f232271e48e612a9f35",
    "query": "What are the top five liked feedback titles?",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "a30da52145ba8916fcb9d18de0708572",
    "query": "Which review among these is recommended but has the lowest rating?",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "01b6a8b449fc4305e628c915f8a2ec89",
    "query": "How many reviews have the word love in them?",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "80ce4d537b434ddd2bc2da530d464f36",
    "query": "What percentage of these reviews are for Pants and Jeans? (rounded to the nearest percentage)",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "12cddbee8e125591c408a49d32bf84e8",
    "query": "How old is the youngest customer who bought a dress and gave a rating of 5?",
    "table_ids": [
      "c29c4cfe8c6a85128f2d98fded103a9b"
    ],
    "metadata": {
      "notebook": "myntra-reviews-on-women-dresses-comprehensive/notebook_1.ipynb"
    }
  },
  {
    "_id": "ba8a1fd2525e649eb3894ea3d5ec01db",
    "query": "Drop columns that have the number of distinct values less than 50% of the data.",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "0283bf5c04e24ad8cbcac2506f7211bc",
    "query": "Fill null values in advertisers using the base folder name in folderpath",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "91330ea5dfca701f05fec7e8bc79aaac",
    "query": "Create a new column called Duration that has the duration of the ad in days or nan if the date string cannot be parsed.",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "67fc990ef4a5eea4016fdbb788d40a4c",
    "query": "What are the top five most paying advertisers?",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "1ea3379413903752b76bcb08a3fd3a8f",
    "query": "Show a list of the top ten highest-paid stations in 2018.",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "ee2196fef461d22eaa8c64657c38b3df",
    "query": "Which of these stations had the highest demand?",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "76f951705a1c0b8af55dfd14b5b96ba1",
    "query": "How many ads were for congress and aired for more than a week?",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "56d2841449abdb933bec363bd9ffdb14",
    "query": "What is the total amount spent on Tom Steyer ads in each station in 2019?",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "d279c3cdd2fce0d1121c0af04d512870",
    "query": "How many of these values are within the top 90% quantile",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "1bccb026c818c23f4bd27839902b60d5",
    "query": "What is the total amount spent on ads that lasted for more than a month for each station in 2018? (in descending order)",
    "table_ids": [
      "b2734ef9944b0e5aa47fd530f4c2a780",
      "1dff5b5c47f1dbae71b685c3fcfdd3cd"
    ],
    "metadata": {
      "notebook": "political-ads-20220630/notebook_1.ipynb"
    }
  },
  {
    "_id": "c9e2a22992c304c50a6e69f0f8dda80a",
    "query": "Rename columns A-Z with their corresponding name in meshroot column.",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "4cf94029ae746ccbba0d0c1c0f697cc1",
    "query": "Show a dataframe that has the number of articles for each mesh root.",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "c051f0341b1d1e2499113007a9c99f8b",
    "query": "What is the average word count of abstracts rounding to the nearest integer?",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "626c0d592530058a56b6a7e5f59764c4",
    "query": "How many articles discuss diseases and organisms only?",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "eb354112c32e6bcc7594d821c2e5230c",
    "query": "What is the average length of their abstract?",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "454b88eaf9be2596e7a1b7e5b6342894",
    "query": "What is the percentage of articles that discuss aging and DNA?",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "23941ecb7ca7dec5c8990857ea6bb01c",
    "query": "What is the title of the longest abstract?",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "5d19680c0e37c101d1415556380d3b47",
    "query": "Show the titles of the top five longest abstracts discussing information science and gerographcals",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "2cc813a17b74b7f79bfebced044d310c",
    "query": "What is the percentage of the articles that discuss one or two topics only?",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "2d80ca7a89c26fb8d0f8cb934d22de3f",
    "query": "How many of these articles talk about Phenomena and Processes",
    "table_ids": [
      "cb592a5426ff5ae94110d080cefe8437",
      "9a4a7b6f208565264b9219db7f22b195"
    ],
    "metadata": {
      "notebook": "pubmed-multilabel-text-classification/notebook_1.ipynb"
    }
  },
  {
    "_id": "0398db6b031db548c3f3d79152994370",
    "query": "Calculate the numeric value of the game sizes in megabytes in a new column called \"numeric_size\". Replace variable size with NaN.",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "6f9ceddc4de99aab015f328c92fbefeb",
    "query": "Show the average size of games with at least 100 million installs and games with less than that. Ignore NaN rows. Show the two groups as rows.",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "6bbf5fe4c916d93796f2078ea25f1d70",
    "query": "Show the average size of games of each major version of Android.",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "5e28f4c55be4dc4ebe725d8a63b9188a",
    "query": "Which action games have more than 10 thousand reviews? Show a list of titles.",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "e64244d836315e470b032ce29b44a837",
    "query": "How many of them are rated for teens?",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "771941c4499af0c50fabc3f233bcdc7f",
    "query": "What is the oldest game among those that received updates in 2022?",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "922cd2617d0df49fd7a70dcfa03c9715",
    "query": "What is the average age of games for each score value? Show the age as a column rounded to days and the score values as row indices rounded to the first decimal.",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "8e763f70341e7f0dd010b81381ba2f6b",
    "query": "Show the app ID and title for each review. Create a dataframe with appID, title and the individual reviews as columns.",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "e167e25edb0c2d4c98baa3b4334e91eb",
    "query": "Show how many of the reviews for each game have the words \"good\", \"great\" or \"fantastic\"?",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "4c1d0b5c010f49ec54e1dd71163941ca",
    "query": "Which roleplay games have the word \"magic\" in their summary? Show a list of names.",
    "table_ids": [
      "87a55ad1bf0acf97aefe069cf679681f",
      "ce6aa8ad304a63a3cbd0c56d3fb62912"
    ],
    "metadata": {
      "notebook": "gameloft-android-games-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "067b4d8e013e3c40a5da32329851080b",
    "query": "Convert all datestrings in the table to datetime objects.",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "83742f8f639ff2b2beee04581cd0f43d",
    "query": "What was the average sunrise and sunset time for each month in the summer of 2018 at New Delhi? Show months as columns and time as columns.",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "2c7a1a34cf04cc47841a049d0795982c",
    "query": "What was the average sunrise and sunset times for the year after?",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "0a874107935d20147b8b2f2d93a0baef",
    "query": "What were the top 3 hottest cities in terms of average temperature in 2021? Show the cities as a list.",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "edc441bc44ba4b0dd6c7eb90059ed502",
    "query": "What did the temperature feel like on average in those cities? Show the temperature for each city.",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "58fe56ce6a7f7a88a4f24b6116044c35",
    "query": "Which city was windiest in terms of median wind speed in 2019?",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "998152b0da7d202b969f06a07bdb3cf7",
    "query": "What was the average wind speed in that city in each year?",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "9f3cfed0cf3a9dff048dea218d42c5a5",
    "query": "What was the least visible city in terms of average monthly visibility in each year?",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "40756488d2ab1e2b7b15ac1d90ee6b2e",
    "query": "Which city had the most clear days in the summer of 2019?",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "1d7004fc9118325f108458185832ab56",
    "query": "How many cloudy or partially cloudy days did each city experience in the summer of 2019?",
    "table_ids": [
      "12109c414f8ea71070d479f9fd1785a8",
      "0cc1f188e309b8e42eaa9c96a270adc2",
      "e91db2564910bf18566627517edb9b4b"
    ],
    "metadata": {
      "notebook": "indian-summer-over-the-years/notebook_1.ipynb"
    }
  },
  {
    "_id": "b938c81289775e5bc390316c499051aa",
    "query": "What was the most popular hashtag for each source? Show the tag and the number of mentions as seperate columns.",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "c9d59026ddf1a686d4d2003444a97852",
    "query": "In how many tweets are there mentions?",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "771b569a94f5d426edff47eeb5175ba1",
    "query": "How many of tweets have both hashtags and mentions?",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "527c2da71b0e459027ea4b93a43274eb",
    "query": "What hashtag appeared in the most tweets?",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "e79d8a171aeefce71302ba119c50b814",
    "query": "Who is mentioned the most and how many times was he mentioned? Show the result as a tuple.",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "d0803676b999cd421e4c55bb36581810",
    "query": "What is the median time difference between posting a tweet and creating profile?",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "dcb00b7171483d4696dbc8642319a60e",
    "query": "For which user was this duration the shortest?",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "78d52aeee3a06b6d5833efeeff2fdbf3",
    "query": "Show the median number of followers of unverified users and verified ones.",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "29790fe7256fdf5e8e22e1c9f63b7afa",
    "query": "What is the most popular source among verified users?",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "cd0e55789ae299d879df9d526ab28249",
    "query": "What is the longest tweet in terms of wordcount? Show the contents of that tweet.",
    "table_ids": [
      "a4eae80ba12ba1b2646569cbeec8b515"
    ],
    "metadata": {
      "notebook": "rafael-nadal/notebook_1.ipynb"
    }
  },
  {
    "_id": "82fa0886eb3fbf61f2be91fc26222b1e",
    "query": "What was the mean delay on route 35 for each month? Sort the months in chronological order.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "332be5f0b3ef5c413e6d6a1858663450",
    "query": "What were the top 10 most delayed routes in terms of total delay?",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "fcae0aab750612b0a99b6a67cfa725a3",
    "query": "What was the total delay for each type of incident on route 54? Sort in descending order of the delay.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "184084fefb387d8fea19c6567484f563",
    "query": "Create a column of datetime objects by combining the contents of Date and Time columns.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "9d9b7964a2e663f870b309777d5daf27",
    "query": "What are the average delays caused by each incident in January? Sort in descending order of the delay.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "395236363ff356fde3f306bc79189bc9",
    "query": "What were those delays in May? Sort in descending order of the delay.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "0592fe9f20475e90e08dee768c59d551",
    "query": "What was the percent change in average delay between the May and January data for each type of incident not related to cleaning?",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "9f7e31dd406a77df87344f0b38978c55",
    "query": "What was the total delay in hours for each day of the week? Sort in chronological order starting from Saturday.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "b29b5b7cd43e738787f657c950e2f969",
    "query": "What were the top 5 vehichles that encountered the most total delay due to mechanical problems? Show a list of vehicle numbers.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "574a04cd543c46957ab0203258635ad9",
    "query": "What location had the most total delay due to diversion?",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "e8a71a042b13d96049e48895815e0875",
    "query": "What was the mean delay for each hour of the day? Show the min delay as a column in chronological order.",
    "table_ids": [
      "b36a2192575c1cdfdf82119fbf521222"
    ],
    "metadata": {
      "notebook": "toronto-bus-delay-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "28b8db78d9906cc2ea81afe5c7426947",
    "query": "What are the top 3 anime themes in terms of number of ratings?",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "a149d1ee235f44e05461517b17e597ae",
    "query": "Which Studio averages the highest rating for original anime?",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "da668277ef40953aee6309d070c2719a",
    "query": "List the highest rated anime in each theme with more than ten thousand ratings.",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "4b3f7ca1f65f3a53a473a72f34a3cdaf",
    "query": "What is the oldest manga based anime still on air?",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "17aa73ccfbcd0a48e8a3e55d228ffaf9",
    "query": "What is the most common tag associated with each theme?",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "f4248f3a6a9d5ffc67b5e254b2fa83b8",
    "query": "List the average total duration of anime series based on their source.",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "7a7b7a24d1dd25f7826f0de980612763",
    "query": "What are the most popular studios in terms of number of ratings for each demographic?",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "5953bd291b3f46e8263eea357c391519",
    "query": "List the highest rated anime for each theme.",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "7262278a03575d6644c25a9fcc6e3495",
    "query": "What are the top 3 highest rated anime still on air?",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "094d4fe1b930a363a949c8bf2f47d3be",
    "query": "List the average rating of each studio that released anime rated by more than a million viewers.",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "e0686c0cdd725aa4df969581e4562240",
    "query": "Which two themes occur together the most?",
    "table_ids": [
      "a77ec194a6b168ad8187476ca49ed93c",
      "2ff553a37c2b380daaa59f4c69001aeb"
    ],
    "metadata": {
      "notebook": "anime-list-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "2de13d9aa1e8054cc9024a979988c73f",
    "query": "What is the estimated minimum and maximum diameter of the most luminous hazardous object?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "1f05674f56de9333083d9f1f007e1e36",
    "query": "How much less luminous in terms of absolute magnitude are hazardous objects compared to non-hazardouus ones? Show in percentage.",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "28ec1557e1aa00d2e2d3a8c38d0fb5f5",
    "query": "What percentage of objects with above average absolute magnitude are hazardous?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "4251e1afd98e71fa4c1b433de0055f6d",
    "query": "How many times larger are hazardous objects compared to non-hazardous ones in terms of average maximum diameter?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "e45b2c001b0b3ef58caa36a5feeed8b6",
    "query": "What is the probability that an object is hazardous given it has above average relative velocity and below average absolute magnitude",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "d4b1d5115cf7490a4d1a1c7dd9d9e894",
    "query": "List the top 3 roundest objects?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "f706a765bc5093e6c51ff4dac5099768",
    "query": "How many times faster is the fastest object compared to the slowest?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "e4c334368382b06bec87d90646a55ce0",
    "query": "Which numeric column is least skewed?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "651fc33e140da95a331d897397c10dda",
    "query": "Which are the top 3 hazardous object with above average velocity had the closest miss distance?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "88114c36992a5746174706312965c5f0",
    "query": "List the top 3 hazardous object with above average relative velocity and maximum estimated diameter that has flown by Earth the most?",
    "table_ids": [
      "413c7114e1c036e64607b57acf280872",
      "df5dfb76a3ad5a387e723ea9795ab4c4"
    ],
    "metadata": {
      "notebook": "nasa-nearest-earth-objects/notebook_1.ipynb"
    }
  },
  {
    "_id": "ed7c30b19a78b65fd9a68e59646d8cae",
    "query": "What topic in the comedy video category gets the highest average engagement?",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "5d2e5075cb41e7887f41fb24bed0a33c",
    "query": "What are the top 5 categories with the most geographically diverse channel selection?",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "352a2737b6239d07ddb1b91ca939542b",
    "query": "List the average number of followers for channels according to the number of topics they are associated with.",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "2fc9b11135aeba813b86a37bff826aa8",
    "query": "How many channels have more than 500 million likes but averages no comments?",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "1afbd8a352165b1af69032b702e2c48e",
    "query": "Which category has the most channels with a 60 day engagement rate above the median rate?",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "18b926c005fe6c1172e5ad517864ef9e",
    "query": "What are the top 3 countries in terms of the views accumulated from their creators?",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "23dfe8203f903bde915ac9ff71e8f386",
    "query": "Which channels among the top 25% most followed channels have a boost index within the first quartile",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "3e45bcb28a2e381e27cb930f4bf98553",
    "query": "What are the top 5 topic pairs that occur together the most?",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "dafc5466f3f0060399ec2c26be54c3b9",
    "query": "Which channels are associated with both 'Entertainment' and 'Movies'?",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "cde5bf6616b674f695debf77c3289781",
    "query": "Which channels had the highest percentage growth in monthly viewership in this month? List top 3.",
    "table_ids": [
      "2b296aff67051524613114312f35a383"
    ],
    "metadata": {
      "notebook": "top-200-youtubers-cleaned/notebook_1.ipynb"
    }
  },
  {
    "_id": "adf9ee6688cb5ce1a18c5c5f3d07ae08",
    "query": "What is the total gross of Hollywood movies in India?",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "33b2ea13eebefd10cfc7dad83bd78795",
    "query": "Convert the release dates to datetime objects.",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "5e08a479a1a1ac8f502f01aa2f13bf1a",
    "query": "List the number of movies released for each month since November 2021 to June 2022. List the months in chronological order.",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "b5ab6445ab8df53c7d9a6d57c80a33b9",
    "query": "List the worldwide gross of the films released for each month since November, 2021 to June 2022. List  the months in chronological order.",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "326634075ff12061e98895ea6fd960ab",
    "query": "What are the top 3 movies that are considered a disaster but made the most profit? List them according to profit in ascending order.",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "da367005fe6e1da8cb0daa89d347bd84",
    "query": "Among the all time hit movies, what percentage of worldwide gross was from India?",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "6fec8a3b646b05150a0875273e53e741",
    "query": "What is the mean budget for each movie type?",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "d15e03de24ac5c032bae84b9f0f71425",
    "query": "Show the top 5 movies with the highest percentage return on investment.",
    "table_ids": [
      "8b498fc9a62cfcbb1d3ae109f817ae50"
    ],
    "metadata": {
      "notebook": "bollywood-movies-boxoffice-collection-2022/notebook_1.ipynb"
    }
  },
  {
    "_id": "80880930759de0782dd0f622d8b57bb4",
    "query": "Convert the list price and selling price of each item to numeric values.",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "9f5490654b2c1909d051ebaba95ae287",
    "query": "Convert the discounts on each item to decimal values.",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "b2fa5111f9ca53310943155b667a0a5a",
    "query": "What is the median number of sizes offered?",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "420afbfaaaea77ff861fd197da940767",
    "query": "Find the color of each item and save in a new column.",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "174d5e54a9d7a97181b07023daf6e7ef",
    "query": "What is the median discount in each category? Show Percentage.",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "4f48c838258d0a154b6af261fe189e77",
    "query": "Which brand is offering the most price reductions on average across all its offerings?",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "68804548336f729f1f6361068be86b43",
    "query": "Which brand is the most flexible in terms of size choices on average across all its offerings?",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "28f87eb63a8f4b33adf0cd4fb29ee3d9",
    "query": "What category has the most variety in the colors offered?",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "925d2ff7ce47b35a3f8b58943e9f66b4",
    "query": "List the number of brands in each category.",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "953f2a809e800429402cd5869cebeeff",
    "query": "Which brand features in the most categories?",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "c1d4ab27f125edd75a8ab126a6e910c1",
    "query": "What percentage of items follow a sizing system represented by numbers only?",
    "table_ids": [
      "2b0fc85c04b9d3c497c0a9e290948e49"
    ],
    "metadata": {
      "notebook": "ecommerce-fashion-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "69a317acc5b654172ec42d6770cd9698",
    "query": "What is the median age of premium members?",
    "table_ids": [
      "0899cee9a35d74306de4c004a1a9e157"
    ],
    "metadata": {
      "notebook": "rewards/notebook_1.ipynb"
    }
  },
  {
    "_id": "250da9c54b9cff09f0cbc807548d1c5e",
    "query": "Convert all Yes or No columns to their boolean representations.",
    "table_ids": [
      "0899cee9a35d74306de4c004a1a9e157"
    ],
    "metadata": {
      "notebook": "rewards/notebook_1.ipynb"
    }
  },
  {
    "_id": "24f6f2c59c7da22d39775b6a3da68158",
    "query": "How many premium members in each loyalty group are eligible for gifts?",
    "table_ids": [
      "0899cee9a35d74306de4c004a1a9e157"
    ],
    "metadata": {
      "notebook": "rewards/notebook_1.ipynb"
    }
  },
  {
    "_id": "54d40523777e05858c2df3379949d3da",
    "query": "Among customers with similar reward points, what percentage have subscribed for early offer notifications given their gender? List percentage subscription for each gender in separate columns.",
    "table_ids": [
      "0899cee9a35d74306de4c004a1a9e157"
    ],
    "metadata": {
      "notebook": "rewards/notebook_1.ipynb"
    }
  },
  {
    "_id": "b65cbb1dda2536efdbee6e1b916c1e69",
    "query": "What rewards are given to customers of each loayalty group? List the number of each type of reward given.",
    "table_ids": [
      "0899cee9a35d74306de4c004a1a9e157"
    ],
    "metadata": {
      "notebook": "rewards/notebook_1.ipynb"
    }
  },
  {
    "_id": "a44e4943ee808d3e3cbf8469dffc1a97",
    "query": "Show the percent composition of membership type across different point groups. List the values for each loyalty group in seperate columns.",
    "table_ids": [
      "0899cee9a35d74306de4c004a1a9e157"
    ],
    "metadata": {
      "notebook": "rewards/notebook_1.ipynb"
    }
  },
  {
    "_id": "6cbb13aa20f2e38d571403445b2d2312",
    "query": "Does being an early bird affect points earned? Show the number of customers in each loyalty group given their subscription status.",
    "table_ids": [
      "0899cee9a35d74306de4c004a1a9e157"
    ],
    "metadata": {
      "notebook": "rewards/notebook_1.ipynb"
    }
  },
  {
    "_id": "64caadf70a240ced14bc6d0d89674426",
    "query": "What are the top 3 titles of Blizzard and Valve's best user rated games and when were they released?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "dddcc28cba6db2810ecf5c2fe43d9136",
    "query": "What is the median age of Valve and Blizzard's top 5 user rated titles?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "010b82c97ffb94853ae423ebae2a24ea",
    "query": "What websites were this data sourced from? Show the hostname",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "acfd09b3a5e5ba4fd342a89e7f39e772",
    "query": "Which series did Blizzard both develop and publish by itself?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "98167ac579f2c666c0cfa38d53ec462c",
    "query": "Convert the values in the 'platform' column to list.",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "b427353c1725c8685b2be3c6fe8f6ba0",
    "query": "Make the platform names upper case and rename any variations of 'MAC OS X', 'MAC OS' and 'WINDOWS' to 'MAC OS X', 'MAC OS' and 'WINDOWS' respectively.",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "12f6b5d024288774d557df5254e1e275",
    "query": "How many games are supported by each platform?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "b180366f5c92320f2add976e931a9d7a",
    "query": "Show the number of games released by quarter?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "eeabd6bf8d6ae33ac9175111bc286cb2",
    "query": "What are the top 3 most popular genre based on average user ratings?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "c42124d5789e5cf5db7c799d55bc746f",
    "query": "What series has the most games?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "c302b3b8f749a8267f8394e00c19f60b",
    "query": "Which designer has been involved in the most games?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "36480608f0eb7d6f8ee88c3995a535b2",
    "query": "What are the top 3 game engines since 2000?",
    "table_ids": [
      "9fe0fb69d1f253fefb241eef41b0d2d4",
      "a1eb09c702fb88590de9b3d74b091edc"
    ],
    "metadata": {
      "notebook": "valve-blizzard-games-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "36f806388c6fb5415671c2e3653c283d",
    "query": "Make a new column called 'address_dict' that contains the key value pairs in address as dictionary.",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "4fa9b26d28ce2cd2bbfbe4fe1907d615",
    "query": "What are the unique address tags present in this dataset?. Arrange alphabetically.",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "2f2dcd2549a4885fdf8c7572642491df",
    "query": "Infer and replace missing postcodes from address.",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "ec7370112bda65bb8793846d1c6d11df",
    "query": "Create a new column \"name_en\" containing only the English name of the place if it's found.",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "b01b81de2fd8770a8f57d79c8f20f518",
    "query": "List the 3 largest towns by area in ascending order. Show the name and the area.",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "3b3ffcd37fabb86a79f87dc273f8e90e",
    "query": "What is the most important city in the US?",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "135d33102ab5f985e2714c1c09cd46f3",
    "query": "How many towns are in France?",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "4624974e161ac76cc0b87af68555dd36",
    "query": "Which US state is the highest up north?",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "3b2fd052dfe490cebcfb9d7e50888b71",
    "query": "How many countries are south of the equator?",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "cbb7b5331bf3d3ed448eb74e43853656",
    "query": "Show the population of each state if available.  ---",
    "table_ids": [
      "c6a7a3ef9312d1da6af9eb459139f0a1"
    ],
    "metadata": {
      "notebook": "all-cities-and-towns-extract-from-osm/notebook_1.ipynb"
    }
  },
  {
    "_id": "c2a5fd4e95582e0fefed29f92580b6fa",
    "query": "Create a new dataset by adding the 2019 data from EU27 with all the data in EU28.",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "48b98bed8d92dabcc2a4ef710199e9bd",
    "query": "What is the total final consumption expenditure (P3) of global warming potential(GHG) across the world from 2014 to 2018. Show in kilograms per capita.",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "5fdaf3c8d109d8901e6fc661f4e5d915",
    "query": "What is the total gross capital formation (P5) of Tropospheric ozone precursors (O3PR) for each year in the EU. Show in tonnes.",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "038cb47775df817f1f0f760a808eca98",
    "query": "What is the total footprint (P3_P5) of Acidification (ACG) for each year outside the EU. Show in thousands of tonnes.",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "8ee48a3bc80c37f12060b77ec8824cc3",
    "query": "What is the accumulated footprint (P3_P5) of CO2 in millions of tonnes from 2008 to 2019 for each CPA classification in the world?",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "fc0bb95ceb6813b83991aa791c899680",
    "query": "What is the total accumulated footprint (P3_P5) of each CO2 equivalent pollutants in megatonnes from 2008 to 2019 in the EU across all cpa classes?",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "2fa66401edd6b7737d201969c6d9a40c",
    "query": "What are the unique pollutants? Discard environmental pressures 'ACG', 'GHG' and 'O3PR'?",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "f9f340fc538819263d3269702cc66834",
    "query": "What is the total accumulated Gross capital formation (P5) of each S02 equivalent pollutants in tonnes from 2008 to 2019 in the EU across all cpa classes?",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "66fbd809cbc82ff797ddab88ef024e28",
    "query": "What was the total footprint in kilotons of CO2 and its equivalent pollutants across the world in 2019?",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "45c531d2c0ee25a4dfcc6b5972aa4218",
    "query": "What is the percent decrease of total global footprint of particulate matter (PM10 and PM2) from 2008 to 2018",
    "table_ids": [
      "817019d3f5a60178f5c398438cee2fb5",
      "5a007257b28a28486a23064b1e50d39c"
    ],
    "metadata": {
      "notebook": "greenhouse-gases-and-air-pollutant-emissions/notebook_1.ipynb"
    }
  },
  {
    "_id": "c39d3b7d7558f98402b58c781e7e805f",
    "query": "Convert all polar columns (Y/N/NA) to boolean.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "51e02c776f87ed39166eb95995ad6be3",
    "query": "Convert Gender to either 'Male', 'Female' or None.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "86c263c311637c5254a5be8107834fee",
    "query": "Convert the comma seperated symptoms list to python list.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "6234d2f65636ad428a46723bfe0b0f1d",
    "query": "Convert date of confirmation to datetime and classify each entry according to the quartile interval the date falls in. List in seperate column.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "ddac8e45b39869aa66b7d69a51843e48",
    "query": "What are the top 3 most common symptoms by number among the cases that lead to hospitalization? List each symptom with number of cases.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "046da1959bb40b75bdccbcb39f6f6356",
    "query": "What is the top 3 most common symptom for each interval? List the number of entries associated with the symptoms in each quartile.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "4404909b7209ffdd7654b62c17b5bf0a",
    "query": "What are the top 3 most common symptoms among males and females? List the number of entries associated with the symptoms for each gender.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "a30f082cb490832fc4fe733aa3ca353a",
    "query": "Create a boolean column showing if a patient has ulcer.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "8036bf6357727f382e20ffe3b665838c",
    "query": "Which countries have cases where ulcers were reported? Show the number of such cases for each.",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "4b04ce93322195a165b21429b8f58b85",
    "query": "When was the first case with lesion confirmed?",
    "table_ids": [
      "2b308cbcf2043c5a48088cd317438381",
      "eac4fee1870c7b8f5436a274f045a81a",
      "293003f73c0204113f7bbb117d865643"
    ],
    "metadata": {
      "notebook": "monkeypox-dataset-daily-updated/notebook_1.ipynb"
    }
  },
  {
    "_id": "8e6eb382e58ebe41c9d8636e205b64a2",
    "query": "Convert all columns answering polar questions (Yes/No) to boolean.",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "c7aa88b526efc4e0b4e1d242021986e5",
    "query": "What is the percent likelihood that a student suffers from depression given their year of study?",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "2bbad01f346593535a63ccb034cece71",
    "query": "What percentage of students who suffer from depression also suffer from anxiety?",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "278dfceb0a5f1944f2b27ef10468111b",
    "query": "How likely are men suffering from depression to seek treatment compared to women? Show the likelihoods in percentage.",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "7bf465b51f08ecdfced36679f34ea491",
    "query": "How likely are married students suffering from depression to avoid treatment compared to single students? Show the likelihoods in percentage.",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "b5a9d90b5b969efaaa0581927ac01247",
    "query": "Which grade group is most likely to suffer from mental health issues?",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "7cec6708d9c63c9fd169ab07faa9ae5c",
    "query": "Categorize the students into groups by quartiles of their ages in a new column and show the percent likelihood of suffering from depression given age group.",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "d7a85f342b85f3c36371c425db633754",
    "query": "What are the chances of students having more than one mental health issue? Show in percentage.",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "988183d0852c2cb1b58efbaa617aeaf9",
    "query": "How likely is it for students undergoing treatment to suffer from less than two issues?",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "1d297f163e450f3611ad7654514070af",
    "query": "Extract the data for students who suffer from at least one mental health problem.",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "e60813196b66e230f6b6d513d66ea849",
    "query": "Show the number of students suffering from each combination of anxiety, depression and panic attacks.",
    "table_ids": [
      "83576b3c128d930883cd08d2be9956a3"
    ],
    "metadata": {
      "notebook": "student-mental-health/notebook_1.ipynb"
    }
  },
  {
    "_id": "4bf3f8ce982f1bc5de0e66342dffc5a7",
    "query": "Create two columns that have the country and the league where each player plays at.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "aad59f761fc901b518c894b029bd3ca7",
    "query": "Add two numeric columns for maximum and minimum transfer values.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "91773e4ed7bf183d4b744d4d9cfee6c8",
    "query": "Determine how many goalkeepers each league has.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "30d6971ab2668532d872770c7831d795",
    "query": "Add a column showing BMI (weight in kg by height in meters squared) and find the average BMI of players by country. Sort in ascending order.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "36b69a85762d8a1397856a53f1c526a3",
    "query": "What is the average total goals scored for strikers of different age groups? Group age by quartiles.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "0c649410c7ba892dbdd29ce5b14e968c",
    "query": "List the top 5 countries with the highest average players' ability. Show the country name and their current ability in descending order.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "1e1a4f7046286c90f0122c7fe8a1f66b",
    "query": "List the top 5 countries with the most number of leagues. Show the number of leagues in descending order.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "e521212b664a714ccc93770d3b9366c3",
    "query": "Group BMI into quartile bins and find the average distance run by strikers in each group.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "4d17a4c09b5f0912586952d6048b79d1",
    "query": "Among the top 25% of strikers who made interceptions, who had the least fouls?",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "fcf8f319ebc860c11da71fc88ba44895",
    "query": "Find the correlation between current ability and average transfer value, as well as log and log squared of average transfer value.",
    "table_ids": [
      "ccc77413040ef32f53546b03b7275c89"
    ],
    "metadata": {
      "notebook": "football-manager-2022-player-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "83bcd9596f896c196651b9a0bd70417b",
    "query": "Create a new column showing the name of the processor brand and list the unique brands.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "ae2a4d7e7dbee17f31fd0a482b7fe544",
    "query": "How many gaming laptops with expandable memory does each brand offer?",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "df15d4e118c679f3d02dfb33d6702b4f",
    "query": "Which laptop with at least 16 GB of DDR5 RAM is the cheapest?",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "4db78c193bd08e53f8a8617f43796406",
    "query": "Display the median GPU benchmark score for each rtx 3000 series graphics card.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "5dca8fb3e4f7cded309c24890726ce5d",
    "query": "Create a new column showing the number of processor cores if inferrable from the name.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "5c6a4c15dea942a9f7e690a5b3885eef",
    "query": "What are the mean prices and standard deviations of laptops equipped with an RTX3060 GPU and 16 GB ram?",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "0b9112c1cbbd5ea2286054033f88f6f1",
    "query": "Show a list of Acer's model names that are available.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "ae1cdd670fdc7161b1e0cbf7b86311ab",
    "query": "What are the product lines offered by Asus? Return a list of names disregarding version and year.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "b1d7dfa4992e832683f4b15d80702f6e",
    "query": "How many gaming product lines does each company offer? Sort in descending order.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "091f50cb829099524049415180105eb5",
    "query": "Count the number of laptops powered by Intel's core i series processors for each generation.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "638d81e65d8653d657959699886ddd6d",
    "query": "Show the percent change in price per inch increment of laptop screen size rounded up to the nearest inch.",
    "table_ids": [
      "4976ae99a5d239961016ef7188c1a741"
    ],
    "metadata": {
      "notebook": "laptop-ranked-dataset/notebook_1.ipynb"
    }
  },
  {
    "_id": "38d64062afa5defdeb67f12412de8369",
    "query": "Which user has purchased the widest variety of items?",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "cabbafea41fa9a5cc99e6b596d03abe1",
    "query": "How long had that user been a customer when he made his latest purchase?",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "20068721ceec3a15c2177aded6d7c824",
    "query": "Count the number of refunds for discounted orders by category.",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "a1194b6e47287537776897137d924d28",
    "query": "Group unique users according to age quartiles and calculate the male composition in each quartile.",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "88168e7cc9174ad31e3a61904db30ad7",
    "query": "Which category has the largest female userbase?",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "3288fdfe06e81483662e6321729c9e63",
    "query": "What is the average completed order amount for each type of payment method? Sort in descending order.",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "d5914a51db218adaefe2ff1c9bb42b93",
    "query": "What was the total revenue for each month in the last quarter of 2020?",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "b2e9794eeba7377df30737ba7793b5a0",
    "query": "Which are the top three email services customers use for signing up? Display the providers with the number of users.",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "83134b342efa51f72cbb120153791882",
    "query": "What category has the highest number of discounted products?",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "989c832513840559b3bd4b8b3ef8d1ea",
    "query": "Show how many new users signed up for every year since 2000.",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "caaedf8ce5df23c4dff9340bfbf7e6c3",
    "query": "Count how many items in each category have a discount.",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "ac75b219aea102362e6121a3273943fd",
    "query": "Which user has requested the most refunds?",
    "table_ids": [
      "96afe06a501d6409dda014458a34b214"
    ],
    "metadata": {
      "notebook": "online-sales-in-usa/notebook_1.ipynb"
    }
  },
  {
    "_id": "b5e480fa96a59738ba2f591c6f5a25ba",
    "query": "Add two new columns showing the nature of the landing site and the boolean flight outcome.",
    "table_ids": [
      "296b7ef9bad05e6130242df00c11d439"
    ],
    "metadata": {
      "notebook": "spacex-falcon9-launch-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "263bdfe376b55a58d4944d3c67d3450e",
    "query": "What sort of landing site type has seen the fewest failed landings?",
    "table_ids": [
      "296b7ef9bad05e6130242df00c11d439"
    ],
    "metadata": {
      "notebook": "spacex-falcon9-launch-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "82a8c149c16effa57258a1f6f16e7d83",
    "query": "Which orbit has SpaceX sent the most payload to?",
    "table_ids": [
      "296b7ef9bad05e6130242df00c11d439"
    ],
    "metadata": {
      "notebook": "spacex-falcon9-launch-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "2bc103bf39e92f563bbcbc7e0e4fd983",
    "query": "What year was grid fins introduced?",
    "table_ids": [
      "296b7ef9bad05e6130242df00c11d439"
    ],
    "metadata": {
      "notebook": "spacex-falcon9-launch-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "706e232bb65caea5237dcc7e31081e83",
    "query": "Display the success rate of flights by year.",
    "table_ids": [
      "296b7ef9bad05e6130242df00c11d439"
    ],
    "metadata": {
      "notebook": "spacex-falcon9-launch-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "aa30d788dbcc04cab937704dabacd491",
    "query": "What is the most common landing pad for each launch site?",
    "table_ids": [
      "296b7ef9bad05e6130242df00c11d439"
    ],
    "metadata": {
      "notebook": "spacex-falcon9-launch-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "26caa27885f62183e79a0e2057e232f2",
    "query": "How much payload has SpaceX lost each year?",
    "table_ids": [
      "296b7ef9bad05e6130242df00c11d439"
    ],
    "metadata": {
      "notebook": "spacex-falcon9-launch-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "9e2faa58b172a5ac09d73ef2b4ea408f",
    "query": "Convert the binary columns to boolean.",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "97680d48fb6d85a87587b7abaf6a930a",
    "query": "Convert crash dates to datetime and show the total number of vehicles involved in crashes each year.",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "19995aeb42e20b2926ce9734d499bff3",
    "query": "How many of those crashes each year resulted in fatalities? Show the total number of fatalities with year as index.",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "b87addbb09578366ce3b82a359c13b87",
    "query": "How many of those crashes each year were hit-and-run cases?",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "009d5bdff3ae9a9903b935c6f9ac1163",
    "query": "What kind of collision causes the most number of injuries or fatalities in total?",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "53ed394011212badefa4b51a9ed6861f",
    "query": "What is the most common primary reason behind accidents causing bodily harm?",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "c2d2b87bc4aec1e6640134b7d11651f7",
    "query": "For accidents caused by that reason, what is the secondary factor that has involved the most number of vehicles in total?",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "cac54b7e2f79bf6d687ccd139d9d3d9c",
    "query": "What is the most common kind of accident that occurs in daylight on dry one-way roads with no abnormalities?",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "9df68a5ec3b0f9d3940c1d4b3f2df0e4",
    "query": "What is the most common cause of that type of accident under those conditions?",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "28bbc6b7b8bfcf362c14968ce99f0774",
    "query": "What is the most common cause of accidents for that accident type under all other conditions?",
    "table_ids": [
      "0d09be11a2a50394f641b8c8639563d0"
    ],
    "metadata": {
      "notebook": "baton-rouge-louisiana-traffic-incidents-legacy/notebook_1.ipynb"
    }
  },
  {
    "_id": "7c15622ec33251b0759dd22e87a190ed",
    "query": "How many fouls were committed in the 1st game between AS Monaco and Panathinaikos OPAP Athens at Salle Gaston Medecin?",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "855e9aca41a338603ab6fca1d72d9b65",
    "query": "In that game how many fouls were drawn by each player?",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "aab6fc0bdd4047e7049ebc924318bb86",
    "query": "Which team was leading at the end of each period in that game? Show the team name and the score and if scores are tied show 'tied' instead of team name.",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "b3c98ede992901b5e05de2a2a87d8228",
    "query": "What was the win percentage of FC Barcelona at home compared to away? Show a dataframe with home and away as columns.",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "88c3bc271e1e17e74c61bc18d71c2ea8",
    "query": "In the 3rd game between AX Armani Exchange Milan and ALBA Berlin at the Mediolanum Forum, how many free throws were 'in'?",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "0dbcb4d6240b7f71a550e7d227ffb4f3",
    "query": "In that game, how many times did each player score? Show only the players who scored.",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "6a255cd889379ea0e65de95a4a301386",
    "query": "How many fouls did each team draw in that game?",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "4d7210a87edf7dc12221e8748c83ed4a",
    "query": "What were the top 3 lowest scoring games? Sort in ascending order and show location, local and visitor team name",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "cb611452d642ab6a9e93cb6f943d314f",
    "query": "Which teams won those games? Show the venue and the winning teams.",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "11cd4d9584b3817eaa1e317440800ed9",
    "query": "How many games did each team win?",
    "table_ids": [
      "a436dc20f5959c5c9939acafda8c5d0b"
    ],
    "metadata": {
      "notebook": "euroleague-basketball-20212022/notebook_1.ipynb"
    }
  },
  {
    "_id": "8df811c650c43129317728cd220539b5",
    "query": "Drop duplicates from the data and create a new dataframe considering only general students (all india or out of state) with no quota, pool or other advantages.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "93d00d93cd96786dfc5ddb8069d501f6",
    "query": "What has been the mean closing rank for all subjects at IIT-Delhi over the years compared with NIT-Delhi? Show the years as columns and institutes as index and consider only general students.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "200482a568cd3a2d0b7f74b227dd1ab6",
    "query": "What was the mean opening rank across all IIT institutes for each program over the years? Show the mean opening rank for each year in columns with program as index and consider only general students.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "557b7b0b77ad41bbf572591999687ff9",
    "query": "Create a new column showing the city each institute is in and show the list of cities that have both an IIT and an NIT institute.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "a46a9ce32f59fd1211e2fd4cbb0e9da4",
    "query": "What is the average closing ranks of those IIT and NIT institutes for each year? Show each year in columns with mean closing rank of each city and institute as values considering only general students.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "dcc818de7d527907d46e5795ce7be654",
    "query": "What were the most competitive programs in each year in terms of median opening rank? Show years as index considering only general students.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "720579c64f96a976605d1154f9fd153e",
    "query": "What program was most competitive in terms of median opening rank for each degree type in 2021? Show degree as index.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "dfcdee33c0b6058f4ceb16f5b46378ad",
    "query": "For each quota type in 2019, which degree was most sought after in terms of median closing rank? Show quota type as index.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "473b29761393f4921a67ebda713554d2",
    "query": "For each year, what institute was the hardest to get into in terms of median closing rank? Show year as index and consider only general applicants.",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "d669d103a1d7df5719d73b4e17189f7e",
    "query": "What was the average closing rank of each pool type in each year? Show year in columns and consider only general category with no quotas (AI or OS).",
    "table_ids": [
      "e6ecdcfc16e774428058bd200bf580d1"
    ],
    "metadata": {
      "notebook": "iit-nit-data/notebook_1.ipynb"
    }
  },
  {
    "_id": "df3199474aba77a8d9af2bcd4460ddb4",
    "query": "Remove columns with no non-null values.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "c9d59026ddf1a686d4d2003444a97852",
    "query": "In how many tweets are there mentions?",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "c4d31892cb83bdfae6d791a4a36e7057",
    "query": "How many of those tweets also contain hashtags?",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "77f60c2e73152ab7d6c4799617377b75",
    "query": "What is the most trending hashtag? Consider unique tags made in single tweet amd show the number of tweets along with the tag name.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "8548530c1c7748f4f6b2e47bf2100d62",
    "query": "Convert the elements of the url column to python list. Make empty lists NaN.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "e484316e975b741ca467198d11779881",
    "query": "Create a new column simplified_domains with domain names (excluding subdomains) in the url.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "204aa2d3065af7d48fe0bb2c075c8752",
    "query": "Among these simplified domain names, list the one that is most popular for each language. Show the language codes as index.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "5f2a66f0ae64646e6ee162fbcf3089b5",
    "query": "How many simplified domains appear on that list more than once? Show the domain names and the language codes as lists.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "def7dc5b92686f720c00a2575bd0058a",
    "query": "What is the most viral hashtag for each of the processed domains? List the simplified domains as index and the tags as a column",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "e9316626064cf47d329d38a3fb875425",
    "query": "Whose tweets were replied to with thumbnails? Show their names, tweet and the picture links.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  },
  {
    "_id": "ba41cd572b404e33e07ba2d832b9cb12",
    "query": "For the tweet that has been responded to the most, what hashtags were used in its replies? Show only unique hashtags as a set.",
    "table_ids": [
      "cf798ae9279826cba755e156a7f5fc19"
    ],
    "metadata": {
      "notebook": "russia-ukraine-conflict/notebook_1.ipynb"
    }
  }
]