5 Best Ways to Split a String into the Max Number of Unique Substrings in Python

πŸ’‘ Problem Formulation: Imagine you’ve been given a string and asked to split it into as many unique substrings as possible. For instance, if your input is “ababa”, the desired output would be [‘a’, ‘b’, ‘ab’, ‘a’], since they are unique and this combination is the maximal number of substrings that can be achieved. In … Read more

Creating Point Plots with Error Bar Caps in Python using Pandas and Seaborn

πŸ’‘ Problem Formulation: When working with data visualization in Python, it’s common to depict point estimates with error bars to indicate variability. However, customizing the appearance of these plots, such as setting caps on error bars, can be unclear. This article demonstrates how to draw point plots with error bar caps using the Seaborn library, … Read more

5 Best Ways to Plot Horizontal Violins and Order Explicitly with Observations in Seaborn

πŸ’‘ Problem Formulation: Data visualization experts often confront the challenge of illustrating statistical distributions while providing a clear order to their observations. Consider a dataset containing different categories with associated values. The goal is to produce horizontal violin plots using Python’s seaborn and pandas libraries, where the violins are arranged in a specific order and … Read more

Creating a Vertical Boxplot Grouped by a Categorical Variable with Seaborn in Python Pandas

πŸ’‘ Problem Formulation: When working with statistical data in Python, it’s common to encounter the need for visually comparing the distribution of a numerical variable across different categories. A boxplot is an excellent way to achieve this. Specifically, we want to group our data by a categorical variable and display this as a vertical boxplot … Read more