In this DS project, I used Python and the Nasdaq Data Link API to analyze economic data. I cleaned financial datasets with pandas, analyzed stock trends, created visualizations with Matplotlib, and developed a linear regression model using time and expense turnover to predict a financial metric. This enhanced my skills in financial data analysis.
active 2024-07-16 → 2024-07-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-07-16 to 2024-07-16. Pushes: 3 total, peak 3 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 |
|---|---|---|---|---|
| DxctorHu | 3 | 3 | 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.