This repository contains small practice projects I worked on while learning the basics of data analysis and visualization.
- Python >=3.7
- matplotlib >= 3.4.2
- numpy >= 1.21.1
- pandas >= 1.3.1
- seaborn >= 0.11.1
Assuming you already have Python>3.7 up and running, the easiest way to install the requirements is using pip or conda. This tutorial assumes using pip for the installation purposes.
Create a virtual environment to set up the project. (Optional Step)
python3 -m venv <my_env>
cd to the root directory of the code and install the requirements using
pip install -r requirements.txt
The repository has separate folders for each small project. Each project has a jupyter notebook that contains data analysis. There is a folder called "datasets" within each project that has data files for that project.