This is a repository that holds datasets.
Filename: restaurant_data.csv
This is a made-up data for customers visiting a restaurant. It has 100 records or rows each with a unique customer_id. There are 15 columns that are listed below:
- customer_id: This is unique identifying number for each customer
- gender Gender of the customer
- age Age of the customer
- customer_rating: Daily average rating given by the customer on a scale from 1(bad) to 5(excellent)
- number_of_weekly_days_visited: Average number of days a customer visits the restaurant daily
- minutes_to_restaurant: Time in minutes it takes the customer to reach the restaurant from the point of origin. For example, office building to restaurant.
- daily_amount_spent: Daily average amount spent by the customer at the restaurant during the entire day. It is a average of totals of all the visits in one day by each customer.
- number_of_items_ordered: Daily average number of items ordered by the customer.
- non_vegetarian: This is a binary (i.e. yes or no) answer. 'yes' indicates customer prefers non-vegetarian meal. 'no' indicates otherwise.
- employer_name: This is the name of the employer for the customer.
- breakfast: This is a binary (i.e. yes or no) answer. Does the customer come to the restaurant for breakfast?
- coffee: This is a binary (i.e. yes or no) answer. Does the customer come to the restaurant for breakfast?
- tea: This is a binary (i.e. yes or no) answer. Does the customer come to the restaurant for breakfast?
- lunch: This is a binary (i.e. yes or no) answer. Does the customer come to the restaurant for breakfast?
- dinner: This is a binary (i.e. yes or no) answer. Does the customer come to the restaurant for breakfast?