Create Impactful 3D Bar Graphs for Better Data Visualization

Learn how to create impactful 3D bar graphs for better data visualization using Python libraries such as Pandas, Matplotlib, Mplot3d, and NumPy. Explore the process of visualizing relationships between three different classes of information through hands-on examples using Jupyter Notebook and Python source files. Apply the techniques to real-world datasets, including Supermarket Sales, NFL TV viewership and ratings, and Titanic passenger data. Master the creation of a reusable function for generating 3D bar graphs from any source dataset with selected columns, enhancing your ability to present complex data relationships effectively.

- Start of the Video
- Intro
- NFL Superbowl TV viewership and ratings Data
- Supermarket Sales Data
- Titanic passenger Data
- Jupyter Notebook Python Code walkthrough
- Recap