One of the key parts of data analysis is to use summary statistics to understand the trend in the data. Understanding the variability in such summary statistics can be extremely useful to put weight on such summary statistics. Bootstrapping, resampling data with replacement is an … [Read more...] about Pandas Bootstrap_plot(): Understand uncertainty
Python
Grouped Boxplot with Jittered Points with Seaborn Python
Grouped boxplots help us visualize the relationship between three variables, two categorical variables and one quantitative variable. When we make a boxplot, it is always a good idea to add the original data points on top of the boxplot, when possible. In this post, we will learn … [Read more...] about Grouped Boxplot with Jittered Points with Seaborn Python
How To Change Edge Color on Seaborn Scatter Plot?
Seaborn's scatterplot function allows us to make compelling scatter plots easily. In this post we will learn how to customize edge color of a scatter plot made with Seaborn. By default, Seaborn's scatter plot function colors the markers edge color to be white. In this post, … [Read more...] about How To Change Edge Color on Seaborn Scatter Plot?
How To Draw a Rectangle on a Plot in Matplotlib?
When you make data visualization one might want to highlight a specific region of the plot by adding some annotation. In this post, we will learn how to add rectangle on top of a plot made with matplotlib in Python. We will first add a simple rectangle with specific color and … [Read more...] about How To Draw a Rectangle on a Plot in Matplotlib?
How To Make Lower Triangular Heatmap with Python?
Heatmaps are a great way to quickly visualize the actual data coded as colors. Heatmaps of correlation matrix is useful to understand the relationship between multiple features or variable. However, since the correlation matrix is symmetric, it is more useful to make heatmap of … [Read more...] about How To Make Lower Triangular Heatmap with Python?