MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 240 MB | Duration: 18 Lessons | 59m
In this course, you'll learn how to use ggDescription in Python to create data visualizations using a grammar of graphics. A grammar of graphics is a high-level tool that allows you to create data Descriptions in an efficient and consistent way. It abstracts most low-level details, letting you focus on creating meaningful and beautiful visualizations for your data.
There are several Python packages that provide a grammar of graphics. This course focuses on Descriptionnine since it's one of the most mature ones. Descriptionnine is based on ggDescription2 from the R programming language, so if you have a background in R, then you can consider Descriptionnine as the equivalent of ggDescription2 in Python.
In this course, you'll learn how to:
Install Descriptionnine and Jupyter Notebook
Combine the different elements of the grammar of graphics
Use Descriptionnine to create visualizations in an efficient and consistent way
Export your data visualizations to files
This course assumes that you already have some experience in Python and at least some knowledge of Jupyter Notebook and pandas. To get up to speed on these topics, check out Jupyter Notebook: An Introduction and Using Pandas and Python to Explore Your Dataset.
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