Profiling data with pandas’ ydata_profiling

Let’s see an example in Python that showcases data profiling using the ProfileReport class from the ydata-profiling library.

Let’s start with installing a few libraries first:

pip install pandas
pip install ydata-profiling
pip install ipywidgets

In the following code example, we will use the iris dataset from the seaborn library, which is an open source dataset.

Next, we are going to read the dataset and perform some initial EDA with minimal code!

1. We’ll start by importing the libraries and loading the dataset directly from its URL using the read_csv() function from pandas:

   import pandas as pd
   import ydata_profiling as pp

2. Load the iris dataset from the seaborn library:

   iris_data = pd.read_csv('https: //raw. githubusercontent .com/mwaskom/ seaborn-data/master/ iris.csv')

3. Next, we’ll perform data profiling by creating a profile report using the ProfileReport() function from...