How do I load a CSV into a pandas DataFrame and see summary statistics?

To load a CSV file into a pandas DataFrame and view its summary statistics, you can use the following code:

import pandas as pd

# Load the CSV file
df = pd.read_csv('your_file.csv')

# View summary statistics
print(df.describe())

A few notes:

• pd.read_csv(): This function reads your data into a DataFrame. Make sure the file path is correct.
• df.describe(): This provides a quick statistical summary of all numeric columns in your DataFrame (including count, mean, standard deviation, min, max, and quartiles).
• df.info(): If you also want to see the column data types and check for missing values, you can run print(df.info()) as well.