Graphs with Python
This project demonstrates data visualization using various Python libraries. The project uses data from a .csv file detailing immigration from all countries to Canada from 1980 to 2013. The data is filtered and visualized through different graphs, including interactive charts, demonstrating methods for exporting these visualizations.
The project aims to explore and visualize immigration data using the Pandas, Matplotlib, Seaborn, and Plotly libraries, creating various visual representations and learning best practices for data visualization.
The project focuses on the following:
- Learn to create graphs with the Matplotlib library
- Understand the functioning of figures and axes in Matplotlib
- Use the Seaborn library for graph creation
- Create interactive graphs with the Plotly library
- Customize visualizations with different colors, styles, annotations, etc.
- Learn best practices for creating graphs