Data
Chennai-Zomato-Restaurants-Data

Chennai-Zomato-Restaurants-Data

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computer Systems Machine Learning
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Context This is a tribute to my favourite city's rich food scene Content Entirely derived from web-scraping Zomato Chennai page. The data has important columns like the price for 2, top-selling dishes and cuisines the restaurant serve. It also has Zomato given ratings and how many votes were used to come up with that rating. Any field which I was unable to scrape is given as 'invalid' Acknowledgements All of the data belongs to Zomato and Zomato only. I thank Zomato for their ever helpful website. This data should be used only for academic purposes Inspiration I'm looking at how prices vary across Chennai's areas and which cuisine is famous in which areas and do they verify the gentrification of certain areas in Chennai. More interested in these sorts of things.

12 features

Zomato_URLstring12032 unique values
0 missing
Name_of_Restaurantstring8369 unique values
0 missing
Addressstring10828 unique values
0 missing
Locationstring268 unique values
0 missing
Cuisinestring2423 unique values
0 missing
Top_Dishesstring2190 unique values
0 missing
Price_for_2numeric64 unique values
0 missing
Dining_Ratingstring35 unique values
0 missing
Dining_Rating_Countstring794 unique values
0 missing
Delivery_Ratingstring33 unique values
0 missing
Delivery_Rating_Countstring2282 unique values
0 missing
Featuresstring1554 unique values
0 missing

19 properties

12032
Number of instances (rows) of the dataset.
12
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
1
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
8.33
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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