Press "Enter" to skip to content

Tag: scatterplot

How to Make a Scatter Plot in Python using Seaborn

Data visualization is a big part of the process of data analysis. In this post, we will learn how make a scatter plot using Python and the package Seaborn. In detail, we will learn how to use the Seaborn methods scatterplot, regplot, lmplot, and pairplot to create scatter plots in Python.

More specifically, we will learn how to make scatter plots, change the size of the dots, change the markers, the colors, and change the number of ticks.  Furthermore, we will learn how to plot a regression line, add text, plot a distribution on a scatter plot, among other things. Finally, we will also learn how to save Seaborn plots in high resolution. That is, we learn how to make print-ready plots.

9 Data Visualization Techniques You Should Learn in Python

With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualization is an art of how to turn numbers into useful knowledge. Using Python we can learn how to create data visualizations and present data in Python using the Seaborn package.

In this post we are going to learn how to use the following 9 plots:

  1. Scatter Plot
  2. Histogram
  3. Bar Plot
  4. Time Series Plot
  5. Box Plot
  6. Heat Map
  7. Correlogram
  8. Violin Plot
  9. Raincloud Plot

Python Data Visualization Tutorial: Seaborn

As previously mentioned in this Python Data Visualization tutorial we are mainly going to use Seaborn but also Pandas,  and Numpy. However, to create the Raincloud Plot we are going to have to use the Python package ptitprince.

Python Raincloud Plot using the ptitprince package