This project is a dashboard visualizing data about relation between fertility, population, child mortality and gdp in some regions overtime with Bokeh interactive plotting.
This is an exercise from Datacamp sourse: Interactive Data Visualization with Bokeh at 'https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh' ' with some modifications, adding more Bokeh interactive models. I use this project as a way to summarize my skills after 2 months of studying Python for Data science.
- Python 3.8.0
- Jupyter Notebook 6.0.1
- bokeh 0.12.16
Run command: 'bokeh serve --show minibokeh' at directory contains minibokeh folder. This will open a a dashboard in browser at 'localhost:5006'
Give users powerful customization of using dashboard
- Change factor in x and y axis
- Simplify plot by adding or eliminating regions
- Change year of plotting
To-do list:
- Add a pie chart to represent proportion in each regions
- Add more tabs to dive into analyzing dataset
Project is: finished
- The idea comes from: 'https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh
- Structure of project and modules references 'https://towardsdatascience.com/data-visualization-with-bokeh-in-python-part-iii-a-complete-dashboard-dc6a86aa6e23' and 'https://github.com/WillKoehrsen/Bokeh-Python-Visualization'
Created by Phu Vinh Nguyen (Vinh Nguyen) - feel free to contact me!