atool3800-stack/project_20260813_011442_2fa3e151

Weekly user behavior analytics for a Cape Town tech startup - South Africa & Egypt user event data with automated README sync # User Behaviour Analytics This repository powers the weekly user behaviour analytics for our technology internet startup based in **Cape Town, South Africa**. Our small data team (7 members) analyses product event data to keep the whole company up to date with the key product metrics. The data covers users from **South Africa** and **Egypt** and is exported weekly from our internal data platform into `data/weekly_events.csv`. A small Python script (`scripts/weekly_analytics.py`) turns that file into a summary stored in `metrics/weekly_summary.json`, which is then mirrored into the **Weekly Analytics** section below. ## Project structure | Path | Description | |------|-------------| | `data/weekly_events.csv` | Weekly user behaviour events exported from the data platform | | `scripts/weekly_analytics.py` | Analysis script that computes the weekly metrics | | `metrics/weekly_summary.json` | Machine-readable weekly metrics summary | | `README.md` | Human-readable overview, incl. the Weekly Analytics section | ## How to refresh the weekly numbers ```bash python scripts/weekly_analytics.py \ --input data/weekly_events.csv \ --output metrics/weekly_summary.json ``` After the script has run, copy the summary into the **Weekly Analytics** section below, then commit and push: ```bash git add README.md metrics/weekly_summary.json git commit -m "docs: update weekly analytics for YYYY-MM-DD" git push origin main ``` --- ## Weekly Analytics ### Week of 2026-08-10 to 2026-08-13 | Metric | Value | |--------|-------| | Total events | 500 | | Active users | 128 | | Avg session duration | 321.7s | | Conversion rate | 31.25% | #### Events by country | Country | Events | Share | |---------|--------|-------| | South Africa | 262 | 52.4% | | Egypt | 238 | 47.6% | | **Total** | **500** | **100.0%** |