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7. Ad Impressions Count
easy
Metasenior
What is the total number of ad impressions each ad received in ads_actions, treating each row as a single impression regardless of clicked_ad? Return ad_name and ad_impressions, grouped by ad_name, and order the results by ad_impressions descending, then ad_name ascending.
ads_actions
| Column Name | Type |
|---|---|
| ad_exp_id | int64 |
| ad_name | object |
| cpc_rate | object |
| clicked_ad | int64 |
Expected Output Schema
| Column Name | Type |
|---|---|
| ad_name | object |
| ad_impressions | int64 |
Constraints
Output columns: ad_name, ad_impressions
Count rows; ignore clicked_ad values
Sort impressions DESC, name ASC
Hint 1
Treat every row in ads_actions as one impression; don’t use clicked_ad at all.
Hint 2
Group by ad_name and count rows per group (SQL: COUNT(*); pandas: groupby(...).size() or count()).
Hint 3
After aggregating, sort by impressions descending, then ad_name ascending to break ties.
Roles
Data Scientist
Data Analyst
Data Engineer
Companies
MetaLevels
senior
entry
Tags
sql
pandas
group-by
aggregation
sorting
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Python EditorLn 1, Col 1