An introduction to Interactive Data Visualization with Bokeh

Level: Beginner

Project description

Any story would be dead without proper visualizations. During the workshop, you will learn how to explore data visualization with Bokeh and how to quickly and easily make interactive plots, dashboards, and data applications.

Setup

All the required dependencies are specified in the file requirements.txt. It is easy to create a Python 3 (ana)conda environment named bokeh_env and install all the dependencies with the following command: conda create --name bokeh_env --file requirements.txt python=3.7

Then, activate this environment with the command: conda activate bokeh_env

Alternatively, you can install all the dependencies using pip with the following command: pip install -r requirements.txt

Note: Please ensure that you navigate to the directory where the requirements.txt file is stored before running either of these commands

Requirements

• Python 3
• Your Github account
• Git. Brush up on your Git knowledge with this Git ramp up tutorial
• miniconda or anaconda

Usage

• Clone the repository
• Navigate to the workshop folder and activate the conda environment using the command: conda activate bokeh_env
• Start Jupyter Lab with the command jupyter lab

Note: We wil be using Jupyter Lab for this workshop. It is also possible to use Jupyter Notebooks with the command jupyter notebook.

Video recording

An introduction to Interactive Data Visualization with Bokeh

Credits

This workshop was set up by @pyladiesams and @bhoom10