The goal of this project is to demostrate main features and functionality available for users of Bokeh visualization library.

Bokeh is an interactive visualization Python library with a very intuitive language and a smooth learning curve. Is allows a user with basic Pythin skills to create highly interactive and visually attractive data stories without any significant amount of in-depth learning.

For this project I have found a relatively small dataset on world's socio-economic development available at the United Nations Open Data source. Among other indicators, it represents data on the infectious deceases prevalence across the globe for 2000–2015, the good old pre-COVID-19 era. The initial and cleaned data files are available at the Data section of project's repository.

Data Analysis for the current project is quite basic. It includes some minimal EDA and cleaning. A corresponding EDA Notebook is available in the project's repo.

This is the Part 1 of this project. It includes Bokeh basics and serves as a base for a corresponding Medium publication "Top 5 Simple Techniques for Data Visualization Using Bokeh". The notebook Simple Visualizations available from the project's repository is an extended and detailed version for the article.