Share Description
In this course, you will learn :
- How to visually represent data in a variety of ways.
- How to plot a chart using figures and axes, as well as how to plot from various types of objects and modules.
- How to control the spine of an axes and how to use GridSpec to create complex layouts for a figure so that you can create visually stunning charts.
- How to draw various types of plots, such as line plots, stem plots, and heatmap plots.
- Have a valuable new skill to add to your resume. As any data scientist knows, it is essential to be able to demonstrate insights gleaned from data analysis.
Syllabus :
1. How to Draw Various Plot Elements
- How to Draw a Figure
- Other Methods for Drawing a Figure
- Setting the Tick for a Plot
- Controlling the Spine
- Adding a Legend to the Plot
- Using Annotate to Identify Data Points
- Adding Text to a Plot
- Using the Grid to Help Locate Data
- Setting the Title of a Plot
- Placing Multiple Plots onto One Figure Using Subplots
- Creating Complex Layouts with GridSpec
- Colors
2. How to Draw Different Types of Plots
- How to Draw a Line Plot
- How to Draw a Scatter Plot
- How to Draw a Bar Plot
- Using Error Bars to Show Uncertainty
- How to Draw a Histogram Plot
- How to Draw a Pie Plot
- How to Draw a Box Plot
- How to Draw a Heatmap Plot
- How to Draw a Radar Plot
- Using Color Bars to Improve Data Readability
- How to Draw a 3D Plot Using Surface Plot
- Using Fill Between to Fill the Area between Two Curves
- How to Draw a Stem Plot
- How to Draw a Stack Plot
- XKCD
