Heatmaps are perfect for showing patterns across two categorical axes (e.g., months × years) with a numeric value mapped to color. Heatmaps make it easy to spot seasonality, gradients, clusters, and outliers in two-dimensional data. In Python, Seaborn’s heatmap() makes it easy to … [Read more...] about How to Create a Heatmap in Python with Seaborn (Step-by-Step Guide)
Multiple Density Plots with Pandas in Python
Often you may have data belonging to multiple groups. Visualizing them as multiple density plot is a great way to understand the similarities and differences between the groups. In this tutorial, we will learn how to make multi-density plot using Pandas in Python. We will use … [Read more...] about Multiple Density Plots with Pandas in Python
How To Add Mean Line or Vertical Line to Density Plot with ggplot2?
Adding a vertical line on mean or median value of a distribution to its density plot can make understanding the plot easier. In this post, we will first see a simple example of adding mean line to a density plot using ggplot2 in R. And then we will also see an example of adding a … [Read more...] about How To Add Mean Line or Vertical Line to Density Plot with ggplot2?
Horizontal Boxplots with ggplot2 in R
Horizontal boxplots are useful when you are making a boxplot multiple groups & you want the group names to be easily readable. And horizontal boxplots can also make it easy see the pattern among the groups quickly. In this post will learn how to make horizontal boxplots with … [Read more...] about Horizontal Boxplots with ggplot2 in R
Density Plots with Pandas in Python
Pandas' plot function is extremely useful in quickly making a variety of plots including density plots, boxplots and many more. In this post, we will see examples of making simple density plots using Pandas plot.density() function in Python. Let us first load the packages … [Read more...] about Density Plots with Pandas in Python