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Swiggy Restaurant and Delivery Data for EDA
Food & Beverage Consumption
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Free
About
This collection of data was acquired through web scraping from Swiggy delivery platform websites. It is exceptionally well-suited for Exploratory Data Analysis (EDA) projects, offering a view into the operational metrics of online food delivery. The data captures essential information about participating hotels, including customer ratings, delivery logistics, cuisine types, geographical locations, and details regarding promotional offers, such as minimum purchase requirements and percentage discounts. The resource includes an uncleaned file, allowing users the flexibility to perform their own data preparation.
Columns
hotel_name: Identifies the name of the eatery or hotel. There are 1729 unique establishments catalogued.rating: Reflects the customer rating given to the hotel. The most frequently observed rating is 4.4.time_minutes: Represents the estimated delivery time in minutes. This column contains 20% missing entries.food_type: Describes the type of cuisine served. Chinese is noted as the most common cuisine type.location: Indicates the geographical area or specific locality of the hotel. Borivali is the location that appears most often.offer_above: Specifies the price point above which a customer qualifies for a promotion. Many records indicate 'not_available' for this value.offer_percentage: Shows the percentage discount available on the order. This field also frequently registers as 'not_available'.
Distribution
The information is delivered in a CSV file format (
swiggy_cleaned.csv), spanning approximately 159.56 kB in size. The structure consists of 7 columns and approximately 1749 individual records. While most columns are complete, the time_minutes field has a noteworthy proportion of missing values (343 records).Usage
This data is ideally applied in projects requiring in-depth Exploratory Data Analysis. Potential uses include developing insights into relationships between hotel ratings and expected delivery durations, mapping the popularity of specific food types across various city locations, and assessing the effectiveness of different promotional pricing strategies. It is also suitable for visualisations and graph analysis.
Coverage
The data's geographic scope is focused on specific urban localities, with locations like Borivali and Malad Kan East being prominently featured among 126 unique location entries. Information regarding the time range or specific demographic details associated with the customers is not provided in the column structure.
License
CC BY-NC-SA 4.0
Who Can Use It
- Data Scientists and Analysts: For practising data cleaning, performing EDA, and building predictive models related to delivery efficiency.
- Academics and Students: Studying regional market penetration, competitive analysis, and consumer behaviour in the online food delivery sector.
- Business Strategists: Gaining knowledge about hotel rating trends, popular food offerings, and prevailing pricing strategies within targeted urban regions.
Dataset Name Suggestions
- Swiggy Restaurant and Delivery Data for EDA
- Indian Food Service Metrics Dataset
- Online Food Delivery Ratings and Location Analysis
Attributes
Original Data Source: Swiggy Restaurant and Delivery Data for EDA
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