What is Pandas Profiling?
Pandas Profiling is a Python package that provides an automated way to generate quick and extensive exploratory data analysis (EDA) reports on your datasets. It integrates with the popular pandas library and offers a convenient method to understand the structure, relationships, and distributions of your data.
How to use Pandas Profiling?
To use Pandas Profiling, first, install the package using pip:
pip install pandas-profiling
Next, import pandas and pandas_profiling, load your dataset into a pandas DataFrame, and generate the report:
import pandas as pd
import pandas_profiling
# Load your dataset
df = pd.read_csv("your_dataset.csv")
# Generate the report
profile = pandas_profiling.ProfileReport(df)
# Save the report as an HTML file
profile.to_file("your_report.html")
This will generate an interactive HTML report with various statistics, visualizations, and insights about your dataset, including missing values, unique values, correlations, and histograms.
