You probably use only a fraction of the chart types that exist on this planet, and ignore most of the basic dataviz rules there are.
It's not fair to blame you—the matplotlib API is tough to grasp, making it challenging to go beyond the most basic options.
Sure, you could spend months piecing together information from blog posts, Stack Overflow, and documentation, but we've streamlined it all into one place to save you time and effort.
Yan delivered an exceptional talk on Data Visualization at our MIT research centre, and we gained a tremendous amount of insight from his expertise! His tools, workshops, and training resources are invaluable for anyone looking to enhance their data visualization skills , and we highly recommend exploring them.
Everybody working in data visualization knows Yan Holtz and the excellent resources he's been developing for the community over the years. For Python users, Joseph's visualizations and tutorials have also been a continuous source of inspiration. So, if you’re considering a Python visualization course, what could be better than one led by these two experts?