Learn how to start visualizing all your data directly in your code
InstructorMax AInstruction covers a wide array of graph types, including scatter plots, histograms, box and whisker plots, pie charts, and 3D graphing.
The curriculum details how to manipulate axis limits, format tick labels, add legends, and utilize colormaps.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
An instructor presents a Python-generated line chart titled Home Team Goals over the season, displaying goal counts across game numbers to demonstrate basic data visualization techniques.
An instructor presents a statistical box plot chart displaying two data distributions with visible whiskers and outlier points for educational purposes.
Some video recordings reportedly cut off the left side of the code, making it difficult to follow the implementation.
Learners have noted that certain functions demonstrated in the videos are now deprecated.
There is a reported mismatch between the simplicity of lectures and the complexity of the exercises for beginners.
