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| # | Exercise Title | Features | Description | Platform | Keywords |
|---|---|---|---|---|---|
| 1 | Group-by-having query execution 1 | Group-by-having query execution 1 | DBQA | ||
| 2 | Group-by-having query execution 2 | Group-by-having query execution 2 | DBQA | ||
| 3 | Group-by-having query execution 3 | Group-by-having query execution 3 | DBQA | ||
| 4 | Group-by-having query execution 4 | Group-by-having query execution 4 | DBQA | ||
| 5 | Grouped Queries pt | This is the portuguese version. | AnnEx | group by having | |
| 6 | Grouped Queries with Condition | Grouped Queries with Condition | AnnEx | group by having | |
| 7 | Grouped Queries with Condition pt | This is the portuguese version. | AnnEx | group by having | |
| 8 | Aggregating Subquery | Aggregating Subquery | AnnEx | group by having | |
| 9 | Aggregating Subquery pt | This is the portuguese version. | AnnEx | group by having | |
| 10 | Grouping and aggregating (1) pt | This is the portuguese version. | AnnEx | group by having | |
| 11 | Grouping and aggregating (2) | Grouping and aggregating (2) | AnnEx | group by having | |
| 12 | Grouping and aggregating (2) pt | This is the portuguese version. | AnnEx | group by having | |
| 13 | Grouping and aggregating (3) | Grouping and aggregating (3) | AnnEx | group by having | |
| 14 | Grouping and aggregating (3) pt | This is the portuguese version. | AnnEx | group by having | |
| 15 | Grouped Queries | Grouped Queries | AnnEx | group by, group by having | |
| 16 | Grouping and aggregating (1) | Grouping and aggregating (1) | AnnEx | group by, group by having | |
| 17 | Pandas Group By 1 | Python PredictingFinalResult for demonstrating Pandas Group By 1 | QuizPET | pandas | |
| 18 | PANDAS GroupBy 1 | You're provided a dataframe of used cars using pandas. Group the data by 'type' and calculate the average mileage for... | jsParsons | json, pandas | |
| 19 | PANDAS GroupBy 2 | You're provided a dataframe of used cars using pandas. Group the data by 'type' and count the number of cars... | jsParsons | pandas | |
| 20 | PANDAS GroupBy 3 | You're provided a dataframe of used cars using pandas. Group the data by 'type' and find the maximum mileage for... | jsParsons | pandas | |
| 21 | Construct a program with multiple if-elif statements | Construct a program which checks which of the integers in interval from 1 to 50 is divisible by only 2,... | jsParsons |