When you have made great data visualizations often you have to combine the plots into a single figure. Thomas Lin Pedersen from RStudio has made a fantastic R package to combine the plots. In his words, The goal of patchwork is to make it ridiculously simple to combine … [Read more...] about How to Combine Multiple ggplot2 Plots? Use Patchwork
5 tips to make better histograms with ggplot2 in R
Histograms are of great use to visualize a uni-variate distribution. As ggplot2 defines, histograms "Visualise the distribution of a single continuous variable by dividing the x axis into bins and counting the number of observations in each bin." ggplot2's geom_histogram() … [Read more...] about 5 tips to make better histograms with ggplot2 in R
How to Add Outline/Edge Color to Histogram in Seaborn?
In this tutorial, we will see an example of adding edge color/edge line to histograms made with Seaborn. Let us load the packages needed to make histogram with outlines using Seaborn. We will use Seattle weather data from vega_datasets to make histograms. Let us … [Read more...] about How to Add Outline/Edge Color to Histogram in Seaborn?
Coloring Barplots with ggplot2 in R
In this tutorial, we will see examples of making barplots and coloring the barplots in a few simple ways. We will see how to color barplots manually by specifying a color of interest and how to color a barplot by another variable in the dataset. Let us load tidyverse suite of … [Read more...] about Coloring Barplots with ggplot2 in R
Histograms with Seaborn in Python
Histograms are a type of barchart, that visualizes how a quantitative variable is distributed. With the right histogram we can quickly learn about the variable. For example, we can learn what is the most common value, what is the minimum and maximum and what is the spread of the … [Read more...] about Histograms with Seaborn in Python