Create Impactful 3D Bar Graphs for better data visualization
To understand the numerical or data specific relationship between 3 different classes of information, 3D bar graphs are one of the most impactful techniques in data visualization.
In this tutorial we will cover applying Pandas, matplatlib, mplot3d and numpy in python to create 3D bar graphs. We have used both Jupyter notebook and python source files (.py) to first learn how to create the graphs and then finalize the code into a function which can be used with any source dataset along with selected 3 columns to render their relationship into X, Y and Z axis.
We have used the following 3 dataset for show the 3D bar graph visualization:
Supermarket Sales Data
NFL TV viewership and ratings Data
Titanic passenger Data
Video Timestamps are as below:
(00:00) Start of the Video
(0:06) Intro
(3:04) NFL Superbowl TV viewership and ratings Data
(5:15) Supermarket Sales Data
(8:10) Titanic passenger Data
(14:25) Jupyter Notebook Python Code walkthrough
(25:01) Recap
Dataset GitHub URL:
https://github.com/prodramp/publiccod...
Python Code (Jupyter Notebook) GitHub Url:
https://github.com/prodramp/publiccod...
Please visit:
https://prodramp.com
@prodramp
/ prodramp
Content Creator:
Avkash Chauhan (@avkashchauhan)
/ avkashchauhan
Tags:
#webdevelopment, #frontend #react, #chakraui, #layout, #fullstackdevelopment #pandas #dataanalysis #python #bigdata #machinelearning #artificialintelligence #ai #ml #dataanalysis #datavisualization #pandas #3d #3dbar #3dbargraph #matplotlib #mplot3d
