How to Read Dataset from GitHub and Save it using Pandas
To display how easily and convenient to read a dataset from GitHub into Pandas DataFrame and save it in local computer.
5 min readNov 7, 2022
GitHub is a good source of data, and I usually store my projects and datasets in GitHub. In this article, I display how easily and convenient to read a dataset from GitHub into Pandas DataFrame and save it as a .CSV file in your computer. In this example, it uses the Jupyter note besides Pandas. You can use JupyterLab or any other Python IDE.
From this article, I will start to write a continuous series on data analysis using one real-world dataset, and this series includes at least the following parts:
- Part I: How to Read Dataset from GitHub and Save it using Pandas
- Part II: Convenient Methods to Rename Columns of Dataset with Pandas in Python
- Part III: Different Methods to Access General Information of A Dataset with Python Pandas
- Part IV: Different Methods to Easily Detect Missing Values in Python
- Part V: Different Methods to Impute Missing Values of Datasets with Python Pandas
- Part VI: Different Methods to Quickly Detect Outliers of Datasets with Python Pandas
