Visualization in Python with matplotlib
INTERMEDIATE
#python
Author: Oleksandr Lomako
Course description
Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.
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Basics: Line Charts
In this section, we will be introduced to the very basics of matplotlib - creating empty Figure and Axes, how to build a line plot, display multiple lines on one plot, add a legend, customize line type, and so on...
Creating an Empty Plot
Simple Line Chart
Challenge
Adding One More Line
Challenge
Adding Legend to a Plot
Challenge
Plot Labels and Title
Challenge
Changing Line Style
Challenge 1
Challenge 2
Bar Charts
In this section, we will learn about other chart types, such as bar plots, histograms, box plots, how to set necessary parameters and customize them.
Simple Bar Chart
Challenge
Stacked Bars
Challenge
Grouped Bars
Challenge
Horizontal Bar Chart
Challenge
Customizing Bar Charts
Challenge
Scatter Plots
In this section, we will learn the scatter plots - one of the easiest ways to discover the relationships in your data.
The Simplest Scatter Plot
Challenge
Setting Plot Parameters
Challenge
Customization
Challenge
Grouping Observations
Challenge
Further Grouping
Challenge
Making Chart Informative
Challenge