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https://github.com/tobuya/datalab

DataLab is a comprehensive repository housing a collection of dynamic Data Science projects crafted in Python and R.
https://github.com/tobuya/datalab

matplotlib numpy pandas python r rstudio seaborn

Last synced: about 11 hours ago
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DataLab is a comprehensive repository housing a collection of dynamic Data Science projects crafted in Python and R.

Host: GitHub
URL: https://github.com/tobuya/datalab
Owner: tobuya
License: mit
Created: 2024-02-19T06:31:02.000Z (9 months ago)
Default Branch: main
Last Pushed: 2024-08-28T19:56:17.000Z (3 months ago)
Last Synced: 2024-08-29T06:59:55.700Z (3 months ago)
Topics: matplotlib, numpy, pandas, python, r, rstudio, seaborn
Language: Jupyter Notebook
Homepage:
Size: 4.09 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # DataLab

DataLab is a repository that contain various exploratory data analysis (EDA) projects based on free data sources from the [Big List of Free and Open Public APIs](https://mixedanalytics.com/blog/list-actually-free-open-no-auth-needed-apis/). Below, you'll find a list of projects along with links to their respective directories within the repository.

## Projects:

1. **US Congress members' stock transaction analysis**

   - This project explores the US Congress members' stock transaction analysis for the years 2020, 2021, 2022, and 2023. The dataset is provided by the [House Stock Watcher](https://housestockwatcher.com/api) and I seek to find patterns, trends, and potential conflict of interest within the dataset.

   - [US Congress members' stock transaction analysis](./stocks/stocks.ipynb)

2. **[TO BE UPDATED]**

   - [TO BE UPDATED].

   - [TO BE UPDATED](./)

3. **[TO BE UPDATED]**

   - [TO BE UPDATED].

   - [TO BE UPDATED](./)

4. **[TO BE UPDATED]**

   - [TO BE UPDATED].

   - [TO BE UPDATED](./)

5. **[TO BE UPDATED]**

   - [TO BE UPDATED].

   - [TO BE UPDATED](./)

Feel free to explore each project to gain insights into the data and the analyses conducted. Contributions and feedback are always welcome!