MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9 Lessons (28m) | Size: 81.1 MB
Whether you’re just getting to know a dataset or preparing to publish your findings, visualization is an essential tool. Python’s popular data analysis library, pandas, provides several different options for visualizing your data with .Description(). Even if you’re at the beginning of your pandas journey, you’ll soon be creating basic Descriptions that will yield valuable insights into your data.
In this course, you’ll learn:
What the different types of pandas Descriptions are and when to use them
How to get an overview of your dataset with a histogram
How to discover correlation with a scatter Description
How to analyze different categories and their ratios