Scatter Chart
A scatter chart shows the relationship between two different variables and it can reveal the distribution trends. It should be used when there are many different data points, and you want to highlight similarities in the data set. This is useful when looking for outliers and for understanding the distribution of your data.
Python3
# scatter plot between income and age plt.scatter(df[ 'income' ], df[ 'age' ]) plt.show() |
Output:
Basic Python Charts
Python Chart is part of data visualization to present data in a graphical format. It helps people understand the significance of data by summarizing and presenting huge amounts of data in a simple and easy-to-understand format and helps communicate information clearly and effectively.
In this article, we will be discussing various Python Charts that help to visualize data in various dimensions such as Histograms, Column charts, Box plot charts, Line charts, and so on.
Table of Content
- Python Charts for Data Visualization
- Histogram
- Column Chart
- Box plot chart
- Pie Chart
- Scatter Chart
- Line Chart
- Area Chart
- Heatmap
- Bubble Chart
- Radar Chart
- Conclusion