Hands-On Exploratory Data Analysis with Python

Outlier detection and filtering

Outliers are data points that diverge from other observations for several reasons. During the EDA phase, one of our common tasks is to detect and filter these outliers. The main reason for this detection and filtering of outliers is that the presence of such outliers can cause serious issues in statistical analysis. In this section, we are going to perform simple outlier detection and filtering. Let's get started:

1. Load the dataset that is available from the GitHub link as follows:

df = pd.read_csv('https://raw.githubusercontent.com/PacktPublishing/hands-on-exploratory-data-analysis-with-python/master/Chapter%204/sales.csv')df.head(10)

The dataset was synthesized manually by creating a script. If you are interested ...