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Analysis of data scraped using Zomato API to infer information benefiting restaurants in making business decision

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Zomato-data-analysis-project

Description:

I analyzed data of restaurants scraped from Zomato's API to form conclusions as to what factors sums up to restaurants’ success. I tried to answer business questions like what cuisines are likely to have impact on restaurants rating, what are the effects of location and demographics on the food ordering patterns of people, etc.

Technologies used: Python, Matplotlib, Pandas, Numpy, Requests

Data has been collected from the Zomato API in the form of .json files(raw data) stored in CSV file.

Download csv file -https://drive.google.com/file/d/1FSa_x3COvCoMODa44qXufO9CQb3ydqKw/view?usp=sharing

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Analysis of data scraped using Zomato API to infer information benefiting restaurants in making business decision

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