Name: Foodpanda Order & Delivery Trends
Creator: Kaggle
License: https://opendatacommons.org/licenses/pddl/1.0/

About this Dataset

Foodpanda Order & Delivery Trends

Description:

This dataset includes comprehnsive information about Foodpanda orders, such as customer details, order status, delivery times, restaurant preferences, ratings, and payment methods. It is asist in the analysis of customer behavior, delivery eficiency, and general trend in online food delivery.

Content:

Customer information, order details, delivery schedules, restaurant rattings, payment options, and customer reviews are all included in this dataset. It offers an organized view of Foodpanda orders, which is helpful for analyzing delivery paterns, customer behaviour, and service quality.

Context:

Online food delivery has become a part of modern lifestyles, with platforms like Foodpanda . This dataset helps explore how custumors order, how restaurants perform, and how delivery trends shape the experience.

Acknowledgment:

This dataset was created with analycis and teaching in mind. Foodpanda and asociated meal delivery data sources are given full credit. Its goal is to faciltate research, learning, and data analysis.

Provenance:

The dataset is base on Foodpanda order records, including customer, restaurant, and delivery detals. It has been compiled and organized for analysis, research, and learning purposes.

Tables

Foodpanda Analysis Dataset

@kaggle.ayeshaimran123_foodpanda_order_and_delivery_trends.foodpanda_analysis_dataset

204.04 kB
6,000 rows
20 columns

CREATE TABLE foodpanda_analysis_dataset (
  "customer_id" VARCHAR,
  "gender" VARCHAR,
  "age" VARCHAR,
  "city" VARCHAR,
  "signup_date" TIMESTAMP,
  "order_id" VARCHAR,
  "order_date" TIMESTAMP,
  "restaurant_name" VARCHAR,
  "dish_name" VARCHAR,
  "category" VARCHAR,
  "quantity" BIGINT,
  "price" DOUBLE,
  "payment_method" VARCHAR,
  "order_frequency" BIGINT,
  "last_order_date" TIMESTAMP,
  "loyalty_points" BIGINT,
  "churned" VARCHAR,
  "rating" BIGINT,
  "rating_date" TIMESTAMP,
  "delivery_status" VARCHAR
);