Spaces:
Runtime error
Runtime error
| ## Demo datasets | |
| This folder contains demo-friendly CSV datasets for testing and showcasing the data agent. | |
| ### `workflow_painpoints_demo.csv` | |
| - **use case**: Analyze delays and errors across steps in a product demo workflow. | |
| - **key columns**: | |
| - `workflow_id`: Identifier for a demo workflow run. | |
| - `step_name`: Name of the workflow step (e.g. `data_upload`, `data_cleaning`). | |
| - `step_order`: Order of the step within the workflow. | |
| - `time_spent_minutes`: Time spent on the step. | |
| - `had_error`: Boolean flag indicating if an error occurred. | |
| - `pain_point`: Short description of the pain point, if any. | |
| ### `cafe_sales.csv` | |
| - **use case**: Explore point-of-sale transaction data for a small cafe. | |
| - **key columns**: | |
| - `transaction_id`: Unique transaction identifier. | |
| - `date`: Transaction date. | |
| - `product_category`: High-level category (e.g. `coffee`, `food`). | |
| - `item_name`: Purchased item name. | |
| - `quantity`: Number of units sold. | |
| - `unit_price`: Price per unit. | |
| - `total_price`: Total amount for the line item. | |
| ### `spotify_churn_dataset.csv` | |
| - **use case**: Model user churn for a music streaming service. | |
| - **key columns**: | |
| - `user_id`: Unique user identifier. | |
| - `country`: User’s country. | |
| - `subscription_type`: Plan type (e.g. `free`, `premium`). | |
| - `monthly_listening_hours`: Total hours listened in the last month. | |
| - `skips_per_hour`: Average track skips per hour. | |
| - `support_tickets_last_90d`: Number of support tickets opened in the last 90 days. | |
| - `is_churned`: Boolean target indicating if the user churned. | |
| ### `Walmart.csv` | |
| - **use case**: Analyze retail sales patterns across stores and departments. | |
| - **key columns**: | |
| - `store`: Store identifier. | |
| - `dept`: Department identifier. | |
| - `date`: Week start date. | |
| - `weekly_sales`: Weekly sales amount. | |
| - `is_holiday`: Flag indicating if the week includes a holiday period. | |
| ### `customer_support_tickets.csv` | |
| - **use case**: Monitor support team workload, SLAs, and customer satisfaction. | |
| - **key columns**: | |
| - `ticket_id`: Unique ticket identifier. | |
| - `created_at`: Ticket creation timestamp. | |
| - `channel`: Support channel (e.g. `email`, `chat`, `phone`, `web`). | |
| - `customer_id`: Customer identifier. | |
| - `priority`: Ticket priority (`Low`, `Medium`, `High`). | |
| - `status`: Current status (e.g. `Open`, `Resolved`, `Escalated`, `Closed`). | |
| - `category`: Ticket category (e.g. `Billing`, `Technical Issue`, `Outage`). | |
| - `agent_id`: Assigned agent identifier (may be empty if unassigned). | |
| - `resolution_time_minutes`: Time to resolution in minutes, if resolved. | |
| - `satisfaction_rating`: Post-resolution customer satisfaction score (1–5), if provided. | |
| ### `product_reviews_demo.csv` | |
| - **use case**: Analyze product review sentiment and quality across channels. | |
| - **key columns**: | |
| - `review_id`: Unique review identifier. | |
| - `product_id`: Identifier of the reviewed product. | |
| - `product_name`: Human-readable product name. | |
| - `customer_id`: Customer identifier. | |
| - `review_date`: Date the review was created. | |
| - `rating`: Star rating (typically 1–5). | |
| - `title`: Short review title. | |
| - `review_text`: Full text of the review. | |
| - `verified_purchase`: Boolean flag indicating if the purchase was verified. | |
| - `source`: Review source (e.g. `website`, `mobile_app`, `third_party`). | |
| ### `WHI_Inflation.csv` | |
| - **use case**: Analyze inflation trends across countries and years, and explore relationships between inflation, economic indicators, and well-being metrics. | |
| - **key columns**: | |
| - `Country`: Name of the country. | |
| - `Year`: Year of observation. | |
| - `Headline Consumer Price Inflation`: Overall consumer price inflation rate. | |
| - `Energy Consumer Price Inflation`: Inflation rate for energy-related consumer prices. | |
| - `Food Consumer Price Inflation`: Inflation rate for food-related consumer prices. | |
| - `Official Core Consumer Price Inflation`: Core inflation rate excluding volatile items such as food and energy. | |
| - `Producer Price Inflation`: Inflation rate of prices received by domestic producers. | |
| - `GDP deflator Index growth rate`: Growth rate of the GDP deflator, reflecting overall price changes in the economy. | |
| - `Continent/Region`: Geographic region or continent of the country. | |
| - `Score`: Overall well-being or happiness score associated with the country-year. | |
| - `GDP per Capita`: Gross domestic product per capita. | |
| - `Social support`: Measure of perceived social support. | |
| - `Healthy life expectancy at birth`: Expected number of healthy years at birth. | |
| - `Freedom to make life choices`: Measure of individual freedom in life decisions. | |
| - `Generosity`: Indicator of charitable behavior and generosity. | |
| - `Perceptions of corruption`: Measure of perceived corruption in government and institutions. | |
| ### `robotics_data.csv` | |
| - **use case**: Analyze the impact of robotics adoption across industries over time, focusing on productivity gains, cost savings, workforce displacement, and training requirements. | |
| - **key columns**: | |
| - `Year`: Year of observation. | |
| - `Industry`: Industry sector where robots are adopted (e.g. manufacturing, healthcare, logistics). | |
| - `Robots_Adopted`: Number of robots adopted in the given industry and year. | |
| - `Productivity_Gain`: Percentage increase in productivity attributed to robot adoption. | |
| - `Cost_Savings`: Estimated cost savings resulting from automation. | |
| - `Jobs_Displaced`: Number of jobs displaced due to robotics adoption. | |
| - `Training_Hours`: Total training hours required to upskill workers for working alongside robots. | |
| ### `robot_inverse_kinematics_dataset.csv` | |
| - **use case**: Support inverse kinematics analysis and modeling for robotic manipulators by mapping end-effector positions and orientations to corresponding joint configurations. | |
| - **key columns**: | |
| - `q1`: Joint angle of the first robot joint. | |
| - `q2`: Joint angle of the second robot joint. | |
| - `q3`: Joint angle of the third robot joint. | |
| - `q4`: Joint angle of the fourth robot joint. | |
| - `q5`: Joint angle of the fifth robot joint. | |
| - `q6`: Joint angle of the sixth robot joint. | |
| - `x`: X-coordinate of the end-effector position. | |
| - `y`: Y-coordinate of the end-effector position. | |
| - `z`: Z-coordinate of the end-effector position. | |
| ### `German_FinTechCompanies.csv` | |
| - **use case**: Analyze the German FinTech ecosystem by examining company status, business segments, founding information, and geographic distribution. | |
| - **key columns**: | |
| - `ID`: Unique identifier for the FinTech company. | |
| - `Name`: Commonly used name of the company. | |
| - `Status`: Current operational status of the company. | |
| - `Original German`: Original German-language company name. | |
| - `Founding year`: Year the company was founded. | |
| - `Founder`: Name of the company founders. | |
| - `Linkedin-Account Founder`: LinkedIn profile of the founder(s), if available. | |
| - `Legal Name`: Official registered legal name of the company. | |
| - `Legal form`: Legal structure of the company. | |
| - `Street`: Street address of the company headquarters. | |
| - `Postal code`: Postal code of the company address. | |
| - `City`: City where the company is located. | |
| - `Country`: Country where the company is registered. | |
| - `Register Number/ Company ID/ LEI`: Official registration number or legal entity identifier. | |
| - `Segment`: Primary FinTech market segment. | |
| - `Subsegment`: More specific business subcategory within the main segment. | |
| - `Bank Cooperation`: Indicator of cooperation with banks. | |
| - `Homepage`: Official company website URL. | |
| - `E-Mail`: Contact email address of the company. | |
| - `Insolvency`: Indicator of insolvency status. | |
| - `Liquidation`: Indicator of whether the company is in liquidation. | |
| - `Date of inactivity`: Date when the company became inactive, if applicable. | |
| - `Local court`: Local court responsible for company registration. | |
| - `Former name`: Previous name of the company, if applicable. | |
| ### `Fintech_user.csv` | |
| - **use case**: Analyze user behavior, engagement, and churn patterns in a FinTech platform, including product usage, credit activity, and reward participation. | |
| - **key columns**: | |
| - `user`: Unique identifier for a user. | |
| - `churn`: Indicator of whether the user has churned. | |
| - `age`: Age of the user. | |
| - `housing`: Indicator of the user’s housing status. | |
| - `credit_score`: Credit score of the user. | |
| - `deposits`: Total amount of deposits made by the user. | |
| - `withdrawal`: Total amount of withdrawals made by the user. | |
| - `purchases_partners`: Number or amount of purchases made with partner merchants. | |
| - `purchases`: Total number or amount of purchases. | |
| - `cc_taken`: Indicator of whether a credit card was taken by the user. | |
| - `cc_recommended`: Indicator of whether a credit card was recommended to the user. | |
| - `cc_disliked`: Indicator of whether the user disliked the recommended credit card. | |
| - `cc_liked`: Indicator of whether the user liked the recommended credit card. | |
| - `cc_application_begin`: Indicator of whether the user started a credit card application. | |
| - `app_downloaded`: Indicator of whether the mobile app was downloaded. | |
| - `web_user`: Indicator of whether the user uses the web platform. | |
| - `app_web_user`: Indicator of whether the user uses both app and web platforms. | |
| - `ios_user`: Indicator of whether the user uses the iOS app. | |
| - `android_user`: Indicator of whether the user uses the Android app. | |
| - `registered_phones`: Number of phone numbers registered by the user. | |
| - `payment_type`: Preferred payment method used by the user. | |
| - `waiting_4_loan`: Indicator of whether the user is waiting for a loan decision. | |
| - `cancelled_loan`: Indicator of whether the user cancelled a loan application. | |
| - `received_loan`: Indicator of whether the user received a loan. | |
| - `rejected_loan`: Indicator of whether the user’s loan application was rejected. | |
| - `zodiac_sign`: Zodiac sign of the user. | |
| - `left_for_two_month_plus`: Indicator of whether the user left for more than two months. | |
| - `left_for_one_month`: Indicator of whether the user left for one month. | |
| - `rewards_earned`: Total rewards earned by the user. | |
| - `reward_rate`: Reward rate associated with the user. | |
| - `is_referred`: Indicator of whether the user was referred by another user. | |
| ### `Electric_Vehicle_Population_Data.csv` | |
| - **use case**: Analyze the distribution and characteristics of electric vehicles across regions, including vehicle types, manufacturers, model years, and eligibility for clean fuel programs. | |
| - **key columns**: | |
| - `VIN (1-10)`: First 10 characters of the vehicle identification number.County: County where the vehicle is registered. | |
| - `City`: City where the vehicle is registered. | |
| - `State`: State where the vehicle is registered. | |
| - `Postal Code`: Postal (ZIP) code of the vehicle registration location. | |
| - `Model Year`: Manufacturing year of the vehicle model. | |
| - `Make`: Vehicle manufacturer. | |
| - `Model`: Vehicle model name. | |
| - `Electric Vehicle Type`: Type of electric vehicle (e.g. battery electric, plug-in hybrid). | |
| - `Clean Alternative Fuel Vehicle (CAFV) Eligibility`: Eligibility status for clean alternative fuel vehicle programs. | |
| - `Electric Range`: Estimated electric-only driving range of the vehicle. | |
| - `Base MSRP`: Base manufacturer’s suggested retail price. | |
| - `Legislative District`: Legislative district associated with the vehicle registration. | |
| - `DOL Vehicle ID`: Department of Licensing vehicle identifier. | |
| - `Vehicle Location`: Geographic location information for the vehicle. | |
| - `Electric Utility`: Electric utility provider serving the vehicle’s location. | |
| - `2020 Census Tract`: Census tract identifier based on the 2020 census. | |