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Bangalore Consumer Food Delivery Survey
Food & Beverage Consumption
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About
This dataset aims to explain the increasing demand for online food delivery services within metropolitan areas, specifically focusing on Bangalore, India. It compiles consumer survey data to shed light on the underlying reasons for this trend. The data is useful for building classification models, such as predicting customer repurchase behaviour, conducting text analysis on consumer reviews, and performing geo-spatial analysis related to consumer locations. This dataset originated from a master's thesis research project.
Columns
The dataset contains nearly 55 variables covering various aspects of consumer demographics and purchase decisions. Key columns include:
- Age: The age of the consumer.
- Gender: The gender of the consumer (e.g., Male, Female).
- Marital Status: The marital status of the consumer (e.g., Single, Married, Other).
- Occupation: The job or occupation status of the consumer (e.g., Student, Employee, Other).
- Monthly Income: The income bracket of the consumer (e.g., No Income, 25001 to 50000, Other).
- Educational Qualifications: The education level of the consumer (e.g., Graduate, Post Graduate, Other).
- Family size: The number of family members or friends living with the consumer.
- latitude: The latitude of the consumer's residence.
- longitude: The longitude of the consumer's residence.
- Pin code: The pincode of the consumer's residence within Bangalore.
- Overall/general purchase decision: Information related to the consumer's general purchase choices.
- Time of delivery influencing the purchase decision: Data on how delivery time affects purchase decisions.
- Rating of Restaurant influencing the purchase decision: Data on how restaurant ratings influence purchase decisions.
Distribution
The dataset is structured with nearly 55 variables and is typically provided in a CSV file format. While specific total record counts are not available, value counts for various attributes offer insight into the data distribution. For example, 57% of consumers are Male and 43% are Female. Regarding marital status, 69% are Single, 28% are Married, and 3% fall into other categories. Students represent the largest occupation group at 53%, followed by Employees at 30%. Income distribution shows 48% with No Income. Educational qualifications are split almost evenly between Graduates (46%) and Post Graduates (45%). The data includes ranges and counts for attributes like age, family size, latitude, longitude, and Bangalore pincodes, indicating a diverse set of consumer responses.
Usage
This dataset is ideal for:
- Classification modelling: Predicting consumer behaviour, such as whether a consumer will make a repeat purchase.
- Text analysis: Analysing consumer reviews to extract insights.
- Geo-spatial analysis: Understanding purchasing patterns based on consumer location (latitude and longitude).
- Market research: Gaining insights into consumer preferences and demographics impacting online food delivery.
Coverage
The dataset focuses geographically on the Bangalore region in India. It covers a diverse demographic scope of consumers residing in Bangalore, with detailed attributes including age, gender, marital status, occupation, income bracket, educational qualifications, and family size. Distributions for these demographic groups are available within the dataset. A specific time range for the data collection is not explicitly stated.
License
CCO
Who Can Use It
- Market Researchers: To analyse consumer demographics, purchase decisions, and the factors influencing online food delivery in Bangalore.
- Food Delivery Companies: For strategic planning, customer segmentation, predicting repeat purchases, and optimising delivery services and restaurant partnerships.
- Data Scientists and Analysts: For building predictive models, performing geo-spatial analysis, and conducting text mining on consumer feedback.
- Academic Researchers and Students: Particularly those studying consumer behaviour, urban consumption trends, or e-commerce in India.
Dataset Name Suggestions
- Online Food Delivery Preferences - Bangalore Region
- Bangalore Consumer Food Delivery Survey
- Indian Metropolitan Food Delivery Habits
- Consumer Demographics in Online Food Ordering
- Food Delivery Behaviour - Bangalore
Attributes
Original Data Source: Online Food Delivery Preferences-Bangalore region
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