Visualizing data with heatmaps is a great way to do exploratory data analysis, when you have a data set with multiple variables. Heatmaps can reveal general pattern in the dataset, instantly. And it is very easy to make beautiful heatmaps with Seaborn library in Python. Let us see 3 examples of creating heatmap visualizations with… Continue reading How To Make Heatmap with Seaborn in Python?
Category: Seaborn
How To Specify Colors to Boxplots in Seaborn?
Boxplots with actual data points are one of the best ways to visualize the distribution of multiple variables at the same time. Creating a beautiful plot with Boxplots in Python Pandas is very easy. In an earlier post, we saw a good example of how to create publication quality boxplots with Pandas and Seaborn. If… Continue reading How To Specify Colors to Boxplots in Seaborn?
How to Make Boxplots in Python with Pandas and Seaborn?
Boxplot, introduced by John Tukey in his classic book Exploratory Data Analysis close to 50 years ago, is great for visualizing data distributions from multiple groups. Boxplot captures the summary of the data efficiently with a simple box and whiskers and allows us to compare easily across groups. Boxplots summarizes a sample data using 25th,… Continue reading How to Make Boxplots in Python with Pandas and Seaborn?