| ,question,train_code
|
| 2700,Generate a descriptive stats table for PM2.5 grouped by state in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM2.5', 'stats': ['mean', 'median', 'min', 'max']}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2701,Generate a monthly average PM2.5 table for Kerala for the year 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Kerala'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2702,List the bottom 10 citys with the lowest average PM2.5 in 2020 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2703,Tabulate the yearly average PM2.5 trend for Bihar across all years., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Bihar'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2704,"Show mean, median, minimum, and maximum PM2.5 for each state in 2017 as a table.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM2.5', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2705,Create a table showing annual mean PM2.5 levels for Asansol (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Asansol'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2706,Show the number of days each city exceeded a PM2.5 threshold of 60 µg/m³ in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2707,List the top 5 states by average PM2.5 in 2022 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2708,Generate a year-by-year summary table of PM2.5 readings for Bhopal., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Bhopal'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2709,List states with their PM10 violation count and rate (>150 µg/m³) in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2710,Create a ranked table of the 5 best-performing citys by PM2.5 in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2711,Tabulate the 20 worst states for average PM2.5 in 2022 sorted by pollution level., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2712,"Show mean, median, minimum, and maximum PM10 for each state in 2017 as a table.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'DESCRIBE', |
| 'params': {'by': 'state', 'col': 'PM10', 'stats': ['mean', 'median', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2713,"Tabulate PM10 statistics (mean, std, min, max) for each city in 2023.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM10', 'stats': ['mean', 'median', 'min', 'max']}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2714,Create a table showing annual mean PM10 levels for Patna (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Patna'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2715,Generate a table showing the 20 most polluted citys based on mean PM10 for 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2716,List states with their PM2.5 violation count and rate (>60 µg/m³) in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM2.5 > 60'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2717,List the bottom 15 citys with the lowest average PM10 in 2023 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2718,Tabulate the yearly average PM2.5 trend for Noida across all years., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Noida'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2719,Tabulate the yearly average PM2.5 trend for Bhopal across all years., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Bhopal'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2720,Generate a city × month cross-tab of mean PM2.5 for Bihar in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Bihar'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Araria', |
| 'Arrah', |
| 'Bettiah', |
| 'Bhagalpur', |
| 'Bihar Sharif', |
| 'Chhapra', |
| 'Darbhanga', |
| 'Gaya', |
| 'Hajipur', |
| 'Katihar', |
| 'Kishanganj', |
| 'Manguraha', |
| 'Motihari', |
| 'Munger', |
| 'Muzaffarpur', |
| 'Patna', |
| 'Purnia', |
| 'Rajgir', |
| 'Saharsa', |
| 'Sasaram', |
| 'Siwan']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2721,Show a pivot table of monthly average PM2.5 by city for West Bengal in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'West Bengal'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': ['Asansol', 'Durgapur', 'Haldia', 'Howrah', 'Kolkata', 'Siliguri']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2722,Create a month-wise summary of average PM10 for Lucknow in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Lucknow'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2723,List states ranked by PM10 concentration relative to their area in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'COMPUTE', 'params': {'denominator': 'area (km2)', 'new_col': 'PM10 per km²', 'numerator': 'PM10'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)', 'PM10 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2724,Create a summary table ranking the top 5 citys by PM10 concentration in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2725,Create a month-wise PM10 breakdown table across cities in Madhya Pradesh for 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Madhya Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Bhopal', |
| 'Damoh', |
| 'Dewas', |
| 'Gwalior', |
| 'Indore', |
| 'Jabalpur', |
| 'Katni', |
| 'Maihar', |
| 'Mandideep', |
| 'Pithampur', |
| 'Ratlam', |
| 'Sagar', |
| 'Satna', |
| 'Singrauli', |
| 'Ujjain']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2726,Show a pivot table of monthly average PM10 by city for Andhra Pradesh in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Andhra Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': {'field': 'city', 'values': ['Amaravati', 'Rajamahendravaram', 'Tirupati', 'Visakhapatnam']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2727,Show a ranked table of the 5 most polluted states by average PM10 in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2728,Tabulate average PM2.5 for each city in Odisha across all months of 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Odisha'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Angul', |
| 'Balasore', |
| 'Barbil', |
| 'Baripada', |
| 'Bhubaneswar', |
| 'Bileipada', |
| 'Brajrajnagar', |
| 'Byasanagar', |
| 'Cuttack', |
| 'Keonjhar', |
| 'Nayagarh', |
| 'Rairangpur', |
| 'Rourkela', |
| 'Suakati', |
| 'Talcher', |
| 'Tensa']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2729,Tabulate the top 15 states for PM2.5 in 2019 along with their corresponding PM10 values., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2730,Which 10 citys recorded the highest average PM10 levels in 2022? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2731,List all states with their average PM2.5 and population for 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2732,Which 5 citys had the lowest mean PM10 in 2018? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2733,Tabulate daily PM2.5 exceedances (above 100 µg/m³) per city for 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2734,Create a ranked table of the 5 best-performing citys by PM10 in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2735,"Show average PM2.5, PM10 and the number of monitoring stations per state in 2019.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'col': 'PM2.5', 'fn': 'mean'}, |
| {'col': 'PM10', 'fn': 'mean'}, |
| {'alias': 'Station Count', 'col': 'station', 'fn': 'nunique'}], |
| 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2736,Tabulate daily PM2.5 exceedances (above 60 µg/m³) per city for 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2737,Create a month-wise summary of average PM2.5 for Hyderabad in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Hyderabad'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2738,Show how average PM2.5 varied month by month for Nagaland in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Nagaland'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2739,Show PM10 exceedance count and rate (%) above 150 µg/m³ per state in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2740,"Tabulate PM10 levels, population, and land area per state in 2017.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'population', 'area (km2)']}}, |
| { 'op': 'RENAME', |
| 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2741,"Show the variability of PM10 across citys in 2018 using mean, median, and standard deviation.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'DESCRIBE', |
| 'params': {'by': 'city', 'col': 'PM10', 'stats': ['mean', 'median', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2742,Create a month-wise summary of average PM2.5 for Mumbai in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Mumbai'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2743,Tabulate area-adjusted PM10 (per km²) for each state in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'COMPUTE', 'params': {'denominator': 'area (km2)', 'new_col': 'PM10 per km²', 'numerator': 'PM10'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)', 'PM10 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2744,List the average PM2.5 for Nashik broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Nashik'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2745,Show average PM10 per state in 2019 with area in km²., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2746,Tabulate daily PM10 exceedances (above 150 µg/m³) per state for 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2747,List the bottom 5 states with the lowest average PM10 in 2024 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2748,Show PM2.5 exceedance count and rate (%) above 60 µg/m³ per state in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM2.5 > 60'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2749,Create a month-by-state breakdown table of mean PM2.5 for 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Arunachal Pradesh', |
| 'Assam', |
| 'Bihar', |
| 'Chandigarh', |
| 'Chhattisgarh', |
| 'Delhi', |
| 'Gujarat', |
| 'Haryana', |
| 'Himachal Pradesh', |
| 'Jammu and Kashmir', |
| 'Karnataka', |
| 'Kerala', |
| 'Madhya Pradesh', |
| 'Maharashtra', |
| 'Meghalaya', |
| 'Mizoram', |
| 'Nagaland', |
| 'Odisha', |
| 'Puducherry', |
| 'Punjab', |
| 'Rajasthan', |
| 'Sikkim', |
| 'Tamil Nadu', |
| 'Telangana', |
| 'Tripura', |
| 'Uttar Pradesh', |
| 'Uttarakhand', |
| 'West Bengal']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2750,Show the number of days each state exceeded a PM10 threshold of 100 µg/m³ in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2751,Create a table of PM2.5 per unit area for all states in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| { 'op': 'COMPUTE', |
| 'params': {'denominator': 'area (km2)', 'new_col': 'PM2.5 per km²', 'numerator': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'area (km2)', 'PM2.5 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2752,Show the number of days each state exceeded a PM10 threshold of 100 µg/m³ in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2753,List the top 10 states by PM2.5 in 2020 with both PM2.5 and PM10 averages., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2754,List the top 10 citys by PM2.5 in 2020 with both PM2.5 and PM10 averages., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2755,Show a table of the 20 cleanest citys by average PM10 in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2756,Generate a table showing the 15 most polluted citys based on mean PM2.5 for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2757,Create a summary table ranking the top 20 citys by PM10 concentration in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2758,Tabulate average PM10 for each city in Assam across all months of 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Assam'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Guwahati']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2759,Tabulate population-adjusted PM2.5 levels for each state in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| { 'op': 'COMPUTE', |
| 'params': { 'denominator': 'population', |
| 'new_col': 'PM2.5 per million', |
| 'numerator': 'PM2.5', |
| 'scale': 1000000}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5 per million'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5 per million'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population', 'PM2.5 per million']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2760,Show annual average PM10 for Ahmedabad as a table sorted by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Ahmedabad'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2761,Generate a monthly average PM2.5 table for Nagaland for the year 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Nagaland'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2762,Create a table of PM10 exceedance frequency above 150 µg/m³ by state for 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2763,List states with their average PM2.5 and area for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2764,Generate a descriptive stats table for PM2.5 grouped by city in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM2.5', 'stats': ['mean', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2765,Show average PM10 per capita by state in 2023 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| { 'op': 'COMPUTE', |
| 'params': { 'denominator': 'population', |
| 'new_col': 'PM10 per million', |
| 'numerator': 'PM10', |
| 'scale': 1000000}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10 per million'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10 per million'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'population', 'PM10 per million']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2766,List average PM2.5 by month for Bihar in 2024 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Bihar'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2767,Show a table of the top 20 states by average PM2.5 in 2022 including their PM10 levels too., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2768,List the average PM2.5 for Madhya Pradesh broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Madhya Pradesh'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2769,Tabulate mean PM2.5 and land area for each state in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2770,Create a summary table ranking the top 10 states by PM2.5 concentration in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2771,Which 10 citys recorded the highest average PM2.5 levels in 2021? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2772,Create a table showing annual mean PM2.5 levels for Chandigarh (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Chandigarh'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2773,Create a table of PM10 exceedance frequency above 100 µg/m³ by city for 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 100'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2774,Tabulate daily PM10 exceedances (above 100 µg/m³) per city for 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2775,Which 20 citys recorded the highest average PM10 levels in 2019? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2776,Tabulate average and median PM2.5 for all citys in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM2.5', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2777,Create a summary table ranking the top 5 states by PM10 concentration in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2778,Tabulate the yearly average PM10 trend for Punjab across all years., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Punjab'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2779,Tabulate the yearly average PM10 trend for Prayagraj across all years., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Prayagraj'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2780,Create a table showing annual mean PM2.5 levels for Hyderabad (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Hyderabad'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2781,List states by PM10 concentration per million inhabitants in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| { 'op': 'COMPUTE', |
| 'params': { 'denominator': 'population', |
| 'new_col': 'PM10 per million', |
| 'numerator': 'PM10', |
| 'scale': 1000000}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10 per million'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10 per million'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'population', 'PM10 per million']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2782,"Create a table showing top 10 citys ranked by PM2.5 in 2020, also showing PM10.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2783,Create a per-capita PM2.5 summary table by state for 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| { 'op': 'COMPUTE', |
| 'params': { 'denominator': 'population', |
| 'new_col': 'PM2.5 per million', |
| 'numerator': 'PM2.5', |
| 'scale': 1000000}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5 per million'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5 per million'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population', 'PM2.5 per million']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2784,Show PM2.5 exceedance count and rate (%) above 100 µg/m³ per city in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM2.5 > 100'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2785,List average PM10 by month for Mizoram in 2022 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Mizoram'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2786,Tabulate average and median PM10 for all states in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM10', 'stats': ['mean', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2787,List states with their average PM10 and area for 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2788,List the bottom 20 citys with the lowest average PM2.5 in 2021 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2789,Create a table with mean and standard deviation of PM2.5 by state in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM2.5', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2790,Show a ranked table of the 10 most polluted citys by average PM10 in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2791,Tabulate average PM10 for each city in Odisha across all months of 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Odisha'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Angul', |
| 'Balasore', |
| 'Barbil', |
| 'Baripada', |
| 'Bhubaneswar', |
| 'Bileipada', |
| 'Brajrajnagar', |
| 'Byasanagar', |
| 'Cuttack', |
| 'Keonjhar', |
| 'Nayagarh', |
| 'Rairangpur', |
| 'Rourkela', |
| 'Suakati', |
| 'Talcher', |
| 'Tensa']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2792,Tabulate the 5 worst citys for average PM2.5 in 2017 sorted by pollution level., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2793,List the bottom 10 citys with the lowest average PM2.5 in 2017 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2794,Tabulate mean PM10 and land area for each state in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2795,List states with their average PM10 and area for 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2796,Tabulate the yearly average PM10 trend for Kota across all years., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Kota'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2797,Show a year-wise table of average PM2.5 for Tripura from 2017 to 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tripura'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2798,Create a summary table comparing mean PM2.5 and PM10 across citys in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2799,"Show the variability of PM10 across citys in 2022 using mean, median, and standard deviation.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'DESCRIBE', |
| 'params': {'by': 'city', 'col': 'PM10', 'stats': ['mean', 'median', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2800,Create a table of PM10 per unit area for all states in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'COMPUTE', 'params': {'denominator': 'area (km2)', 'new_col': 'PM10 per km²', 'numerator': 'PM10'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)', 'PM10 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2801,Generate a city × month cross-tab of mean PM10 for Uttar Pradesh in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Bulandshahr', |
| 'Ghaziabad', |
| 'Greater Noida', |
| 'Hapur', |
| 'Meerut', |
| 'Moradabad', |
| 'Muzaffarnagar', |
| 'Noida']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2802,Tabulate the monthly mean PM2.5 levels for Moradabad during 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Moradabad'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2803,Show a table of the 5 cleanest citys by average PM10 in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2804,List the bottom 10 citys with the lowest average PM2.5 in 2019 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2805,List average PM2.5 by month for Karnataka in 2020 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Karnataka'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2806,List the average PM2.5 for Bhilai broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Bhilai'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2807,Create a summary table ranking the top 20 states by PM2.5 concentration in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2808,Create a table showing PM2.5 spread (min to max) and central tendency per state for 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM2.5', 'stats': ['mean', 'median', 'min', 'max']}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2809,Show the number of days each state exceeded a PM2.5 threshold of 100 µg/m³ in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2810,Show a pivot table of monthly average PM2.5 by city for West Bengal in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'West Bengal'}}, |
| { 'op': 'OR_FILTER', |
| 'params': {'field': 'city', 'values': ['Asansol', 'Durgapur', 'Howrah', 'Kolkata', 'Siliguri']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2811,Show PM10 exceedance count and rate (%) above 150 µg/m³ per city in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2812,Show PM10 exceedance count and rate (%) above 100 µg/m³ per state in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 100'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2813,Create a month-wise summary of average PM10 for Asansol in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Asansol'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2814,Create a table showing PM10 spread (min to max) and central tendency per city for 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM10', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2815,Tabulate mean PM10 and land area for each state in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2816,Show how average PM10 varied month by month for Mumbai in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Mumbai'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2817,Tabulate days with PM2.5 > 100 µg/m³ and exceedance percentage per state in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM2.5 > 100'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2818,Generate a dual-pollutant summary table (PM2.5 and PM10) by state for 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2819,Show a table of average PM2.5 per state in 2019 along with population., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2820,Tabulate the top 15 citys for PM2.5 in 2017 along with their corresponding PM10 values., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2821,Tabulate average and median PM2.5 for all citys in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM2.5', 'stats': ['mean', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2822,Generate a table showing the 5 most polluted states based on mean PM2.5 for 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2823,List the bottom 20 citys with the lowest average PM10 in 2019 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2824,Show how average PM10 varied month by month for Delhi in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Delhi'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2825,Show how many times PM2.5 exceeded 60 µg/m³ per day across states in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2826,Generate a city × month cross-tab of mean PM2.5 for Karnataka in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Karnataka'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Bengaluru']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2827,List the top 15 citys by PM2.5 in 2019 with both PM2.5 and PM10 averages., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2828,Show PM2.5 exceedance count and rate (%) above 100 µg/m³ per state in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM2.5 > 100'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2829,Show a pivot table of monthly average PM2.5 by city for Tamil Nadu in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tamil Nadu'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Chennai', 'Coimbatore']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2830,List citys with their PM2.5 violation count and rate (>60 µg/m³) in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM2.5 > 60'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2831,Create a table showing annual mean PM10 levels for Howrah (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Howrah'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2832,List the bottom 20 citys with the lowest average PM10 in 2017 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2833,List states by PM10 concentration per million inhabitants in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| { 'op': 'COMPUTE', |
| 'params': { 'denominator': 'population', |
| 'new_col': 'PM10 per million', |
| 'numerator': 'PM10', |
| 'scale': 1000000}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10 per million'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10 per million'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'population', 'PM10 per million']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2834,Generate a dual-pollutant summary table (PM2.5 and PM10) by state for 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2835,Generate a city × month cross-tab of mean PM10 for Karnataka in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Karnataka'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Bagalkot', |
| 'Bengaluru', |
| 'Chikkaballapur', |
| 'Chikkamagaluru', |
| 'Kolar', |
| 'Mysuru', |
| 'Ramanagara']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2836,Show the number of days each state exceeded a PM10 threshold of 150 µg/m³ in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2837,Tabulate days with PM10 > 150 µg/m³ and exceedance percentage per city in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2838,List the average PM2.5 for Meghalaya broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Meghalaya'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2839,Tabulate daily PM2.5 exceedances (above 60 µg/m³) per city for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2840,Show a ranked table of the 20 most polluted states by average PM10 in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2841,Show a ranked table of the 20 most polluted states by average PM10 in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2842,Generate a cross-tab of state vs month for average PM2.5 in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Arunachal Pradesh', |
| 'Assam', |
| 'Bihar', |
| 'Chandigarh', |
| 'Chhattisgarh', |
| 'Delhi', |
| 'Gujarat', |
| 'Haryana', |
| 'Jammu and Kashmir', |
| 'Karnataka', |
| 'Kerala', |
| 'Madhya Pradesh', |
| 'Maharashtra', |
| 'Meghalaya', |
| 'Mizoram', |
| 'Nagaland', |
| 'Odisha', |
| 'Puducherry', |
| 'Punjab', |
| 'Rajasthan', |
| 'Tamil Nadu', |
| 'Telangana', |
| 'Tripura', |
| 'Uttar Pradesh', |
| 'West Bengal']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2843,Create a month-wise PM2.5 breakdown table across cities in Tamil Nadu for 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tamil Nadu'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Chennai', 'Gummidipoondi']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2844,Create a ranked table of the 10 best-performing citys by PM2.5 in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2845,Generate a year-by-year summary table of PM2.5 readings for Chennai., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Chennai'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2846,"Show descriptive statistics of PM2.5 (mean, median, std, min, max) per city in 2024.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM2.5', 'stats': ['mean', 'median', 'min', 'max']}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2847,Generate a city × month cross-tab of mean PM10 for Uttar Pradesh in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Agra', |
| 'Baghpat', |
| 'Bareilly', |
| 'Bulandshahr', |
| 'Firozabad', |
| 'Ghaziabad', |
| 'Gorakhpur', |
| 'Greater Noida', |
| 'Hapur', |
| 'Jhansi', |
| 'Kanpur', |
| 'Khurja', |
| 'Lucknow', |
| 'Meerut', |
| 'Moradabad', |
| 'Muzaffarnagar', |
| 'Noida', |
| 'Prayagraj', |
| 'Varanasi', |
| 'Vrindavan']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2848,Show PM10 averages in a state × month matrix for 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Assam', |
| 'Bihar', |
| 'Chandigarh', |
| 'Delhi', |
| 'Gujarat', |
| 'Haryana', |
| 'Karnataka', |
| 'Kerala', |
| 'Madhya Pradesh', |
| 'Maharashtra', |
| 'Meghalaya', |
| 'Odisha', |
| 'Punjab', |
| 'Rajasthan', |
| 'Tamil Nadu', |
| 'Telangana', |
| 'Uttar Pradesh', |
| 'West Bengal']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2849,List states with their PM10 violation count and rate (>150 µg/m³) in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2850,Create a month-wise PM10 breakdown table across cities in Uttar Pradesh for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Baghpat', |
| 'Bulandshahr', |
| 'Ghaziabad', |
| 'Greater Noida', |
| 'Moradabad', |
| 'Noida', |
| 'Varanasi']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2851,Generate a descriptive stats table for PM10 grouped by city in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM10', 'stats': ['mean', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2852,Show a pivot table of monthly average PM2.5 by city for Gujarat in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Gujarat'}}, |
| { 'op': 'OR_FILTER', |
| 'params': {'field': 'city', 'values': ['Ahmedabad', 'Ankleshwar', 'Gandhinagar', 'Nandesari', 'Vatva']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2853,Show a table of the 5 cleanest states by average PM10 in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2854,Show a table of the top 15 states by average PM2.5 in 2018 including their PM10 levels too., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2855,Which 15 states had the lowest mean PM10 in 2024? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2856,Create a table showing annual mean PM2.5 levels for Gwalior (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Gwalior'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2857,Create a month-wise summary of average PM2.5 for Andhra Pradesh in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Andhra Pradesh'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2858,Show a year-wise table of average PM2.5 for Nagpur from 2017 to 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Nagpur'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2859,Generate a cross-tab of state vs month for average PM2.5 in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Assam', |
| 'Bihar', |
| 'Chandigarh', |
| 'Delhi', |
| 'Gujarat', |
| 'Haryana', |
| 'Karnataka', |
| 'Kerala', |
| 'Madhya Pradesh', |
| 'Maharashtra', |
| 'Meghalaya', |
| 'Odisha', |
| 'Punjab', |
| 'Rajasthan', |
| 'Tamil Nadu', |
| 'Telangana', |
| 'Uttar Pradesh', |
| 'West Bengal']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2860,Tabulate the top 15 states for PM2.5 in 2020 along with their corresponding PM10 values., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2861,Create a month-wise summary of average PM10 for West Bengal in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'West Bengal'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2862,Create a table showing annual mean PM2.5 levels for Haryana (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Haryana'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2863,Show a pivot table of monthly average PM2.5 by city for Maharashtra in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Maharashtra'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Chandrapur', |
| 'Kalyan', |
| 'Mumbai', |
| 'Nagpur', |
| 'Nashik', |
| 'Navi Mumbai', |
| 'Pune', |
| 'Solapur']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2864,Tabulate average PM2.5 for each city in Rajasthan across all months of 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Rajasthan'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': ['Ajmer', 'Alwar', 'Bhiwadi', 'Jaipur', 'Jodhpur', 'Kota', 'Pali', 'Udaipur']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2865,Create a ranked table of the 15 best-performing citys by PM10 in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2866,Show a table of the 10 cleanest states by average PM10 in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2867,Which 10 states recorded the highest average PM10 levels in 2021? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2868,Generate a city × month cross-tab of mean PM2.5 for Punjab in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Punjab'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Amritsar', |
| 'Bathinda', |
| 'Jalandhar', |
| 'Khanna', |
| 'Ludhiana', |
| 'Mandi Gobindgarh', |
| 'Patiala', |
| 'Rupnagar']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2869,Create a month-wise PM2.5 breakdown table across cities in Assam for 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Assam'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Guwahati']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2870,List the average PM10 for Asansol broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Asansol'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2871,"Show a table of average PM10, population, and area for all states in 2021.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'population', 'area (km2)']}}, |
| { 'op': 'RENAME', |
| 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2872,Tabulate average PM10 for each city in Maharashtra across all months of 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Maharashtra'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Aurangabad', |
| 'Chandrapur', |
| 'Kalyan', |
| 'Mumbai', |
| 'Nagpur', |
| 'Nashik', |
| 'Navi Mumbai', |
| 'Pune', |
| 'Solapur', |
| 'Thane']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2873,Show a table of average PM2.5 and PM10 for all states in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2874,Show a pivot table of monthly average PM2.5 by city for Rajasthan in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Rajasthan'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Ajmer', |
| 'Alwar', |
| 'Banswara', |
| 'Baran', |
| 'Barmer', |
| 'Bharatpur', |
| 'Bhilwara', |
| 'Bhiwadi', |
| 'Bikaner', |
| 'Bundi', |
| 'Chittorgarh', |
| 'Churu', |
| 'Dausa', |
| 'Dholpur', |
| 'Dungarpur', |
| 'Hanumangarh', |
| 'Jaipur', |
| 'Jaisalmer', |
| 'Jalore', |
| 'Jhalawar', |
| 'Jhunjhunu', |
| 'Jodhpur', |
| 'Karauli', |
| 'Kota', |
| 'Nagaur', |
| 'Pali', |
| 'Pratapgarh', |
| 'Rajsamand', |
| 'Sawai Madhopur', |
| 'Sikar', |
| 'Sirohi', |
| 'Sri Ganganagar', |
| 'Tonk', |
| 'Udaipur']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2875,List the average PM10 for Kerala broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Kerala'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2876,Tabulate average PM2.5 for each city in Tamil Nadu across all months of 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tamil Nadu'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Chennai', 'Coimbatore']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2877,Create a month-wise PM10 breakdown table across cities in Odisha for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Odisha'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Brajrajnagar', 'Talcher']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2878,List average PM2.5 by month for Uttar Pradesh in 2024 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2879,Show PM2.5 averages in a state × month matrix for 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Assam', |
| 'Bihar', |
| 'Chandigarh', |
| 'Delhi', |
| 'Gujarat', |
| 'Haryana', |
| 'Karnataka', |
| 'Kerala', |
| 'Madhya Pradesh', |
| 'Maharashtra', |
| 'Mizoram', |
| 'Nagaland', |
| 'Odisha', |
| 'Puducherry', |
| 'Punjab', |
| 'Rajasthan', |
| 'Tamil Nadu', |
| 'Telangana', |
| 'Tripura', |
| 'Uttar Pradesh', |
| 'West Bengal']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2880,List states ranked by PM2.5 concentration relative to their area in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| { 'op': 'COMPUTE', |
| 'params': {'denominator': 'area (km2)', 'new_col': 'PM2.5 per km²', 'numerator': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'area (km2)', 'PM2.5 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2881,Tabulate area-adjusted PM10 (per km²) for each state in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'COMPUTE', 'params': {'denominator': 'area (km2)', 'new_col': 'PM10 per km²', 'numerator': 'PM10'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)', 'PM10 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2882,"Tabulate the distribution of PM2.5 per state in 2017 including mean, median, and std.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM2.5', 'stats': ['mean', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2883,Show a pivot table of monthly average PM10 by city for Kerala in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Kerala'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Eloor', |
| 'Kannur', |
| 'Kochi', |
| 'Kollam', |
| 'Kozhikode', |
| 'Thiruvananthapuram', |
| 'Thrissur']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2884,"Show descriptive statistics of PM10 (mean, median, std, min, max) per state in 2022.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM10', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2885,Show how many times PM2.5 exceeded 100 µg/m³ per day across states in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2886,Generate a table showing the 5 most polluted citys based on mean PM10 for 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2887,Create a table showing annual mean PM10 levels for Gwalior (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Gwalior'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2888,Show how many times PM10 exceeded 150 µg/m³ per day across citys in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2889,Show how average PM2.5 varied month by month for Solapur in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Solapur'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2890,Create a table of PM10 exceedance frequency above 100 µg/m³ by state for 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 100'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2891,Create a table showing PM2.5 levels and population for each state in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2892,"Show the variability of PM2.5 across citys in 2018 using mean, median, and standard deviation.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM2.5', 'stats': ['mean', 'median', 'min', 'max']}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2893,Show a table of the 20 cleanest states by average PM2.5 in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2894,Create a table of PM2.5 exceedance frequency above 60 µg/m³ by city for 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM2.5 > 60'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2895,Tabulate mean PM2.5 alongside state population figures for 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2896,Create a ranked table of the 20 best-performing citys by PM10 in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2897,Show how many times PM10 exceeded 100 µg/m³ per day across citys in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2898,Create a table of PM10 exceedance frequency above 150 µg/m³ by city for 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2899,Create a table with mean and standard deviation of PM10 by state in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM10', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2900,Tabulate daily PM10 exceedances (above 150 µg/m³) per city for 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2901,Create a month-wise PM10 breakdown table across cities in West Bengal for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'West Bengal'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Asansol', 'Howrah', 'Kolkata', 'Siliguri']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2902,Show annual average PM2.5 for Thiruvananthapuram as a table sorted by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Thiruvananthapuram'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2903,Which 10 states recorded the highest average PM10 levels in 2022? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2904,Show a monthly breakdown table of average PM10 for Madhya Pradesh in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Madhya Pradesh'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2905,List the bottom 15 states with the lowest average PM10 in 2018 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2906,Create a table of state PM2.5 levels and geographic area for 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2907,Tabulate area-adjusted PM2.5 (per km²) for each state in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| { 'op': 'COMPUTE', |
| 'params': {'denominator': 'area (km2)', 'new_col': 'PM2.5 per km²', 'numerator': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'area (km2)', 'PM2.5 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2908,Create a month-wise summary of average PM10 for Jodhpur in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Jodhpur'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2909,Create a table showing annual mean PM2.5 levels for Patna (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Patna'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2910,Create a month-wise summary of average PM10 for Chandigarh in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Chandigarh'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2911,Show a table of average PM2.5 and PM10 for all states in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2912,Show annual average PM10 for Karnataka as a table sorted by year., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Karnataka'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2913,Generate a table showing the 10 most polluted citys based on mean PM2.5 for 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2914,Show how many times PM10 exceeded 150 µg/m³ per day across citys in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2915,Show a monthly breakdown table of average PM2.5 for Gurugram in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Gurugram'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2916,Tabulate average and median PM10 for all states in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM10', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2917,Show the number of days each city exceeded a PM10 threshold of 100 µg/m³ in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2918,Tabulate how average PM10 changed year by year for each state., |
| [ { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Delhi', |
| 'Haryana', |
| 'Jharkhand', |
| 'Karnataka', |
| 'Kerala', |
| 'Madhya Pradesh', |
| 'Maharashtra', |
| 'Odisha', |
| 'Punjab', |
| 'Rajasthan', |
| 'Telangana', |
| 'Uttar Pradesh', |
| 'West Bengal']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'year', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2919,Tabulate both PM2.5 and PM10 averages by state for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2920,Show a year-wise table of average PM2.5 for Bihar from 2017 to 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Bihar'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2921,List the average PM2.5 for Faridabad broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Faridabad'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2922,List average PM10 by month for Ahmedabad in 2024 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Ahmedabad'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2923,Generate a year-by-year summary table of PM2.5 readings for Haryana., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Haryana'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2924,List the top 10 citys by average PM10 in 2024 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2925,"Tabulate PM10 statistics (mean, std, min, max) for each city in 2021.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'DESCRIBE', |
| 'params': {'by': 'city', 'col': 'PM10', 'stats': ['mean', 'median', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2926,Create a table of PM10 standard violations (>150 µg/m³) per state in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2927,Show a ranked table of the 15 most polluted citys by average PM10 in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2928,Show average PM2.5 per capita by state in 2018 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| { 'op': 'COMPUTE', |
| 'params': { 'denominator': 'population', |
| 'new_col': 'PM2.5 per million', |
| 'numerator': 'PM2.5', |
| 'scale': 1000000}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5 per million'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5 per million'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population', 'PM2.5 per million']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2929,Tabulate the 5 worst states for average PM10 in 2021 sorted by pollution level., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2930,Tabulate the 10 worst states for average PM10 in 2024 sorted by pollution level., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2931,Generate a year-by-year summary table of PM2.5 readings for Nashik., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Nashik'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2932,Create a summary table ranking the top 10 states by PM2.5 concentration in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2933,Generate a city × month cross-tab of mean PM2.5 for Uttar Pradesh in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Agra', |
| 'Baghpat', |
| 'Bareilly', |
| 'Bulandshahr', |
| 'Firozabad', |
| 'Ghaziabad', |
| 'Gorakhpur', |
| 'Greater Noida', |
| 'Hapur', |
| 'Jhansi', |
| 'Kanpur', |
| 'Khurja', |
| 'Lucknow', |
| 'Meerut', |
| 'Moradabad', |
| 'Muzaffarnagar', |
| 'Noida', |
| 'Prayagraj', |
| 'Varanasi', |
| 'Vrindavan']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2934,Create a ranked table of the 15 best-performing citys by PM2.5 in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2935,List the top 15 citys by PM2.5 in 2021 with both PM2.5 and PM10 averages., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2936,List the top 10 citys by average PM2.5 in 2020 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2937,Tabulate the 5 citys with the least PM10 pollution in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2938,Create a table showing PM10 spread (min to max) and central tendency per state for 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM10', 'stats': ['mean', 'std', 'min', 'max']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2939,Create a table of PM2.5 standard violations (>60 µg/m³) per city in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2940,List average PM2.5 by month for Himachal Pradesh in 2022 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Himachal Pradesh'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2941,Show a ranked table of the 20 most polluted citys by average PM10 in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2942,"Show the mean, median and standard deviation of PM2.5 per city in 2018 as a table.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM2.5', 'stats': ['mean', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2943,Generate a table showing the 15 most polluted states based on mean PM2.5 for 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2944,Tabulate the monthly mean PM2.5 levels for Kolkata during 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Kolkata'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2945,Show PM10 exceedance count and rate (%) above 150 µg/m³ per city in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2946,Create a month-wise PM10 breakdown table across cities in West Bengal for 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'West Bengal'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': ['Asansol', 'Barrackpore', 'Durgapur', 'Haldia', 'Howrah', 'Kolkata', 'Siliguri']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2947,Generate a year-by-year summary table of PM2.5 readings for Tripura., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tripura'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2948,Create a month-wise PM2.5 breakdown table across cities in Uttar Pradesh for 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Agra', |
| 'Bulandshahr', |
| 'Firozabad', |
| 'Ghaziabad', |
| 'Gorakhpur', |
| 'Greater Noida', |
| 'Hapur', |
| 'Kanpur', |
| 'Lucknow', |
| 'Meerut', |
| 'Moradabad', |
| 'Muzaffarnagar', |
| 'Noida', |
| 'Prayagraj', |
| 'Varanasi', |
| 'Vrindavan']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2949,Create a summary table ranking the top 10 citys by PM10 concentration in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2950,List the average PM2.5 for Jaipur broken down by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Jaipur'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2951,Show how many times PM10 exceeded 100 µg/m³ per day across citys in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2952,"Show the variability of PM10 across states in 2019 using mean, median, and standard deviation.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'state', 'col': 'PM10', 'stats': ['mean', 'q25', 'median', 'q75']}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2953,Show a monthly breakdown table of average PM2.5 for Durgapur in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Durgapur'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2954,Show PM10 exceedance count and rate (%) above 150 µg/m³ per state in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2955,List average PM10 by month for Hyderabad in 2023 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Hyderabad'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2956,Tabulate the 10 states with the least PM2.5 pollution in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2957,List average PM2.5 by month for Kerala in 2017 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Kerala'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2958,Which 5 citys had the lowest mean PM2.5 in 2018? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2959,List the top 20 states by average PM10 in 2021 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 20}}] |
| </pipeline>
|
| 2960,Show the number of days each state exceeded a PM10 threshold of 150 µg/m³ in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2961,Show a table of the 10 cleanest citys by average PM10 in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2962,Tabulate average PM2.5 for each state across all months in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Bihar', |
| 'Delhi', |
| 'Haryana', |
| 'Karnataka', |
| 'Maharashtra', |
| 'Tamil Nadu', |
| 'Telangana', |
| 'Uttar Pradesh']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2963,Generate a year-by-year summary table of PM10 readings for Mumbai., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Mumbai'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2964,Create a table showing PM10 levels and population for each state in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'population']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2965,List the bottom 15 states with the lowest average PM10 in 2019 as a table., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2966,Show a table of the 15 cleanest citys by average PM2.5 in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2967,Show a pivot table of monthly average PM2.5 by city for Uttar Pradesh in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Agra', |
| 'Baghpat', |
| 'Bareilly', |
| 'Bulandshahr', |
| 'Firozabad', |
| 'Ghaziabad', |
| 'Gorakhpur', |
| 'Greater Noida', |
| 'Hapur', |
| 'Jhansi', |
| 'Kanpur', |
| 'Khurja', |
| 'Lucknow', |
| 'Meerut', |
| 'Moradabad', |
| 'Muzaffarnagar', |
| 'Prayagraj', |
| 'Varanasi', |
| 'Vrindavan']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2968,Tabulate average PM10 for each city in Odisha across all months of 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Odisha'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Brajrajnagar', 'Talcher']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2969,Create a month-wise PM2.5 breakdown table across cities in Karnataka for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Karnataka'}}, |
| { 'op': 'OR_FILTER', |
| 'params': {'field': 'city', 'values': ['Bengaluru', 'Chikkaballapur', 'Hubballi', 'Kalaburagi']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2970,Create a table showing annual mean PM10 levels for Mumbai (2017–2024)., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Mumbai'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2971,Generate a city × month cross-tab of mean PM10 for Kerala in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Kerala'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': ['Eloor', 'Kannur', 'Kochi', 'Kollam', 'Thiruvananthapuram', 'Thrissur']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2972,Show annual average PM2.5 for Gandhinagar as a table sorted by year., |
| [ {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Gandhinagar'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2973,Show a monthly breakdown table of average PM2.5 for Nagpur in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Nagpur'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2974,Create a table of PM10 standard violations (>150 µg/m³) per state in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2975,Show a pivot table of monthly average PM2.5 by city for Tamil Nadu in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tamil Nadu'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Chennai']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2976,Generate a monthly average PM2.5 table for Mizoram for the year 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Mizoram'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2977,Tabulate the 15 states with the least PM2.5 pollution in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2978,Tabulate average PM2.5 for each city in Tamil Nadu across all months of 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tamil Nadu'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Chennai']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2979,Create a table of PM2.5 standard violations (>60 µg/m³) per state in 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 60}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 60', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'state'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 60'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2980,Tabulate area-adjusted PM2.5 (per km²) for each state in 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| { 'op': 'COMPUTE', |
| 'params': {'denominator': 'area (km2)', 'new_col': 'PM2.5 per km²', 'numerator': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5 per km²'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5 per km²'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'area (km2)', 'PM2.5 per km²']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2981,"Tabulate PM2.5 statistics (mean, std, min, max) for each city in 2017.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DESCRIBE', 'params': {'by': 'city', 'col': 'PM2.5', 'stats': ['mean', 'median', 'std']}}, |
| {'op': 'DROPNA', 'params': {'col': 'std'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'mean'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2982,Show a table of average PM10 per state in 2020 along with population., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'population']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2983,Which 10 citys recorded the highest average PM2.5 levels in 2024? Tabulate the results., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 10}}] |
| </pipeline>
|
| 2984,Generate a monthly average PM2.5 table for Chennai for the year 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'FILTER', 'params': {'field': 'city', 'value': 'Chennai'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2985,Show a table of average PM2.5 and PM10 for all citys in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2986,Show average PM10 per state in 2024 with area in km²., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2024}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM10'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM10', 'area (km2)']}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'area (km2)': 'Area (km²)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2987,"Create a table of PM2.5, PM10 and station counts by state for 2023.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'col': 'PM2.5', 'fn': 'mean'}, |
| {'col': 'PM10', 'fn': 'mean'}, |
| {'alias': 'Station Count', 'col': 'station', 'fn': 'nunique'}], |
| 'by': 'state'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2988,Create a ranked table of the 5 best-performing citys by PM10 in 2017., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2017}}, |
| {'op': 'AGG', 'params': {'by': 'city', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'PM10'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2989,"Create a comprehensive state summary with PM2.5, population, and area for 2018.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'JOIN', 'params': {'on': 'state', 'source': 'states'}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'population', 'value': 0}}, |
| {'op': 'FILTER_JOIN', 'params': {'comparison': 'gt', 'field': 'area (km2)', 'value': 0}}, |
| {'op': 'DROPNA', 'params': {'col': 'population'}}, |
| {'op': 'DROPNA', 'params': {'col': 'area (km2)'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'SELECT_COLS', 'params': {'cols': ['state', 'PM2.5', 'population', 'area (km2)']}}, |
| { 'op': 'RENAME', |
| 'params': { 'map': { 'PM2.5': 'Avg PM2.5 (µg/m³)', |
| 'area (km2)': 'Area (km²)', |
| 'population': 'Population'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2990,Show a year-wise table of average PM2.5 for Tamil Nadu from 2017 to 2024., |
| [ {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tamil Nadu'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'AGG', 'params': {'by': 'year', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'year'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)', 'year': 'Year'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2991,Show how many times PM2.5 exceeded 100 µg/m³ per day across citys in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM2.5', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 100}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM2.5 > 100', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM2.5', 'fn': 'count'}], |
| 'by': 'city'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM2.5 > 100'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2992,Tabulate the monthly mean PM10 levels for Delhi during 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Delhi'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'AGG', 'params': {'by': 'month', 'col': 'PM10', 'fn': 'mean'}}, |
| {'op': 'SORT', 'params': {'ascending': True, 'col': 'month'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'month': 'Month'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2993,Tabulate days with PM10 > 150 µg/m³ and exceedance percentage per city in 2018., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2018}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'ADD_FLAG', 'params': {'col': 'PM10', 'comparison': 'gt', 'new_col': 'exceeds', 'value': 150}}, |
| { 'op': 'MULTI_AGG', |
| 'params': { 'aggs': [ {'alias': 'Days PM10 > 150', 'col': 'exceeds', 'fn': 'sum'}, |
| {'alias': 'Total Days', 'col': 'PM10', 'fn': 'count'}], |
| 'by': 'city'}}, |
| { 'op': 'ADD_RATE', |
| 'params': { 'denominator': 'Total Days', |
| 'new_col': 'Exceedance Rate (%)', |
| 'numerator': 'Days PM10 > 150'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Days PM10 > 150'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2994,Create a summary table ranking the top 15 states by PM2.5 concentration in 2023., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2023}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 15}}] |
| </pipeline>
|
| 2995,Create a month-wise PM2.5 breakdown table across cities in Uttar Pradesh for 2019., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2019}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Uttar Pradesh'}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'city', |
| 'values': [ 'Agra', |
| 'Baghpat', |
| 'Bulandshahr', |
| 'Ghaziabad', |
| 'Greater Noida', |
| 'Kanpur', |
| 'Lucknow', |
| 'Moradabad', |
| 'Noida', |
| 'Varanasi']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2996,Generate a cross-tab of state vs month for average PM2.5 in 2021., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2021}}, |
| { 'op': 'OR_FILTER', |
| 'params': { 'field': 'state', |
| 'values': [ 'Andhra Pradesh', |
| 'Assam', |
| 'Bihar', |
| 'Chandigarh', |
| 'Delhi', |
| 'Gujarat', |
| 'Haryana', |
| 'Karnataka', |
| 'Kerala', |
| 'Madhya Pradesh', |
| 'Maharashtra', |
| 'Mizoram', |
| 'Nagaland', |
| 'Odisha', |
| 'Puducherry', |
| 'Punjab', |
| 'Rajasthan', |
| 'Tamil Nadu', |
| 'Telangana', |
| 'Tripura', |
| 'Uttar Pradesh', |
| 'West Bengal']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'state', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2997,Generate a city × month cross-tab of mean PM2.5 for Tamil Nadu in 2022., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2022}}, |
| {'op': 'FILTER', 'params': {'field': 'state', 'value': 'Tamil Nadu'}}, |
| {'op': 'OR_FILTER', 'params': {'field': 'city', 'values': ['Chennai', 'Coimbatore', 'Gummidipoondi']}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| { 'op': 'PIVOT', |
| 'params': { 'add_row_summary': True, |
| 'col_source': 'month', |
| 'fn': 'mean', |
| 'index': 'city', |
| 'value_col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'Annual Avg'}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': -1}}] |
| </pipeline>
|
| 2998,"Create a table showing top 5 citys ranked by PM2.5 in 2020, also showing PM10.", |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| { 'op': 'MULTI_AGG', |
| 'params': {'aggs': [{'col': 'PM2.5', 'fn': 'mean'}, {'col': 'PM10', 'fn': 'mean'}], 'by': 'city'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM10'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM10': 'Avg PM10 (µg/m³)', 'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
| 2999,Create a summary table ranking the top 5 states by PM2.5 concentration in 2020., |
| [ {'op': 'FILTER', 'params': {'field': 'year', 'value': 2020}}, |
| {'op': 'AGG', 'params': {'by': 'state', 'col': 'PM2.5', 'fn': 'mean'}}, |
| {'op': 'DROPNA', 'params': {'col': 'PM2.5'}}, |
| {'op': 'SORT', 'params': {'ascending': False, 'col': 'PM2.5'}}, |
| {'op': 'RENAME', 'params': {'map': {'PM2.5': 'Avg PM2.5 (µg/m³)'}}}, |
| {'op': 'SELECT', 'params': {'mode': 'table', 'n': 5}}] |
| </pipeline>
|
|
|