Perform Descriptive Statistics in Python

To perform descriptive statistics in Python, you can use the pandas library. Here's an example code that demonstrates how to calculate descriptive statistics for a given dataset:

import pandas as pd

def calculate_descriptive_statistics(data):
    """
    Calculate descriptive statistics for a given dataset.

    Parameters:
    data (list or pandas.DataFrame): The dataset for which to calculate descriptive statistics.

    Returns:
    pandas.DataFrame: A DataFrame containing the descriptive statistics.
    """
    # Convert the data to a pandas DataFrame if it's not already
    if not isinstance(data, pd.DataFrame):
        data = pd.DataFrame(data)

    # Calculate the descriptive statistics
    statistics = data.describe()

    return statistics

# Example usage
data = [1, 2, 3, 4, 5]
statistics = calculate_descriptive_statistics(data)
print(statistics.to_markdown())

This code defines a function calculate_descriptive_statistics that takes a dataset as input and returns a DataFrame containing the descriptive statistics. The function first checks if the input data is already a DataFrame, and if not, converts it to one. Then, it uses the describe method of the DataFrame to calculate the descriptive statistics.

In the example usage, we create a list data with some sample data and pass it to the calculate_descriptive_statistics function. The resulting statistics DataFrame is then printed in markdown format using the to_markdown method.