Are you tired of feeling boxed in by your Python plots and ready to break free from the constraints of traditional legend placement? In this guide, I’ll show you how to put legends outside your plot for (click to 🦘 jump): Let’s start with the first! 👇👩💻 Matplotlib Put Legend Outside Plot Let’s start with … Read more
Normal distribution is a statistical prerequisite for parametric tests like Pearson’s correlation, t-tests, and regression. Testing for normal distribution can be done visually with sns.displot(x, kde=true). The Shapiro-Wilk test for normality can be done quickest with pingouin‘s pg.normality(x). 💡 Note: Several publications note that normal distribution is the least important prerequisite for parametric tests and … Read more
What is Data Cleaning? Data cleaning describes the process of turning messy data into clean datasets that can be used for research and data science purposes. For example, tidy data will be in a wide format: every column contains a variable, and every row contains one case. Also, data cleaning means getting rid of corrupt … Read more
With Exploratory Data Analysis (EDA) functions in Python, it is easy to get a quick overview of a dataset. The EDA’s goal is the statistical summary and graphical visualization of a dataset. This will help to discover patterns, missing values and help to extract further information for statistical modeling. The first step in the data … Read more