Data
bengaluru_real_estate_price

bengaluru_real_estate_price

active ARFF CC0: Public Domain Visibility: public Uploaded 23-07-2024 by Bruno Belucci Teixeira
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From original source: ----- About this file What are the things that a potential home buyer considers before purchasing a house? The location, the size of the property, vicinity to offices, schools, parks, restaurants, hospitals or the stereotypical white picket fence? What about the most important factor - the price? Now with the lingering impact of demonetization, the enforcement of the Real Estate (Regulation and Development) Act (RERA), and the lack of trust in property developers in the city, housing units sold across India in 2017 dropped by 7 percent. In fact, the property prices in Bengaluru fell by almost 5 percent in the second half of 2017, said a study published by property consultancy Knight Frank. For example, for a potential homeowner, over 9,000 apartment projects and flats for sale are available in the range of 42-52 lakh, followed by over 7,100 apartments that are in the 52-62 lakh budget segment, says a report by property website Makaan. According to the study, there are over 5,000 projects in the 15-25 lakh budget segment followed by those in the 34-43 lakh budget category. Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually the same for all metros, there are others to be considered for the Silicon Valley of India. With its help millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain the price of a house in Bengaluru. ----- Columns with index 1 were deleted from the dataset, usually because they related to some kind of index.

8 features

price (target)numeric1994 unique values
0 missing
area_typenominal4 unique values
0 missing
locationnominal1306 unique values
0 missing
sizenominal32 unique values
0 missing
societynominal2689 unique values
0 missing
total_sqftnumeric2036 unique values
0 missing
bathnumeric19 unique values
73 missing
balconynumeric4 unique values
609 missing

19 properties

13320
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
682
Number of missing values in the dataset.
609
Number of instances with at least one value missing.
4
Number of numeric attributes.
4
Number of nominal attributes.
0
Percentage of binary attributes.
4.57
Percentage of instances having missing values.
0.64
Percentage of missing values.
-99.09
Average class difference between consecutive instances.
50
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
Percentage of instances belonging to the most frequent class.
50
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.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: price
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