This Python script analyzes Facebook advertising data from a CSV file. The analysis includes plotting various metrics and aggregations related to advertising spend and return on marketing investment (ROMI) for the year 2021. It also provides insights into campaign performance, distribution of ROMI values, and correlations among different variables.
active 2024-08-31 → 2024-08-31 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-08-31 to 2024-08-31. Pushes: 4 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| juliazmacha | 4 | 4 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.