Restaurant Data Analysis

Here's a description for Restaurant Data Analysis with Python:

Restaurant Data Analysis with Python

Acquire and Clean Data:

Extract data from various sources like CSV filesand databases.

Handle missing values, outliers, and inconsistencies effectively.

Transform and prepare data for analysis.

Perform Exploratory Data Analysis (EDA):

Summarize and visualize key metrics like sales, customer demographics, and order trends.

Identify patterns, anomalies, and trends in customer behavior.

Gain a deep understanding of your restaurant's performance.