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Visual Distribution of various Categorical and Continuous Variables of Online Food Consumers Dataset using Python. This serves as the 1st task of Data Science Internship in Infotech Prodigy - Prodigy_DS_01

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QuadirMariyam/Online_Food_Data_Visualization

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PRODIGY_DS_01

Visual Distribution of various Categorical and Continuous Variables of Online Food Consumers Dataset using Python. This serves as the 1st task of Data Science Internship in Infotech Prodigy - Prodigy_DS_01

About Dataset

Online Food Order Dataset

Description:

The dataset contains information collected from an online food ordering platform over a period of time. It encompasses various attributes related to Occupation, Family Size, Feedback etc..

Attributes:

Demographic Information:

Age: Age of the customer. Gender: Gender of the customer. Marital Status: Marital status of the customer. Occupation: Occupation of the customer. Monthly Income: Monthly income of the customer. Educational Qualifications: Educational qualifications of the customer. Family Size: Number of individuals in the customer's family. Location Information:

Latitude: Latitude of the customer's location. Longitude: Longitude of the customer's location. Pin Code: Pin code of the customer's location. Order Details:

Output:

Current status of the order (e.g., pending, confirmed, delivered).

Feedback:

Feedback provided by the customer after receiving the order.

Purpose:

This dataset can be utilized to explore the relationship between demographic/location factors and online food ordering behavior, analyze customer feedback to improve service quality, and potentially predict customer preferences or behavior based on demographic and location attributes.

Usability 9.41

License MIT

Expected update frequency Never

About

Visual Distribution of various Categorical and Continuous Variables of Online Food Consumers Dataset using Python. This serves as the 1st task of Data Science Internship in Infotech Prodigy - Prodigy_DS_01

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