Data
Buenos-Aires-Airbnb-Data

Buenos-Aires-Airbnb-Data

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context For Past a decade, Airbnb has emerged as a great personalized staying option for customers worldwide.This dataset gives the details of Airbnb listings in Buenos Aires as on 24th November 2019 Content This dataset includes all information about hosts, geographical availability, necessary metrics to make predictions and perform analysis Acknowledgements This public dataset was published by Airbnb and the exact source is found here Inspiration What can we know about various hosts? What are the major busy areas of Buenos Aires? Which hosts are one of the busiest and why ?

15 features

idnumeric22877 unique values
0 missing
namestring22125 unique values
10 missing
host_idnumeric14851 unique values
0 missing
host_namestring3690 unique values
25 missing
neighbourhoodstring48 unique values
0 missing
latitudenumeric7269 unique values
0 missing
longitudenumeric9633 unique values
0 missing
room_typestring4 unique values
0 missing
pricenumeric340 unique values
0 missing
minimum_nightsnumeric66 unique values
0 missing
number_of_reviewsnumeric272 unique values
0 missing
last_reviewstring1326 unique values
6445 missing
reviews_per_monthnumeric720 unique values
6445 missing
calculated_host_listings_countnumeric45 unique values
0 missing
availability_365numeric366 unique values
0 missing

19 properties

22877
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
12925
Number of missing values in the dataset.
6461
Number of instances with at least one value missing.
10
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
66.67
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.
28.24
Percentage of instances having missing values.
Average class difference between consecutive instances.
3.77
Percentage of missing values.

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