Statistic And Data Analysis | Study

Running head: Statistic And Data Analysis
Statistic And Data Analysis
Name of the Student
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Statistic And Data Analysis
2
Table of Contents
Section 1:....................................................................................................................................3
Section 2:....................................................................................................................................4
Section 4:....................................................................................................................................8
Section 5:....................................................................................................................................9
Section 6:..................................................................................................................................11
Section 7:..................................................................................................................................12
References:...............................................................................................................................14

Statistic And Data Analysis
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Section 1:
Introduction:
The dataset provided can be categorised into two types; the one which consists of
information about the Airbnb property types were collected from an external source and
hence is secondary data whereas the data collected about type of accommodation and gender
is primary data as it collected individually. Dataset 1 has 22 categorical and numerical
variables and dataset 2 has two categorical variable. Below are given the variables in the
dataset and their types:
Variable Variable type
id Numeric
listing_url Categorical
name Categorical
city Categorical
zipcode Numeric
latitude continous numeric
longitude continous numeric
property_type Categorical
room_type Categorical
accommodates numeric
bathrooms numeric
bedrooms numeric
beds numeric
price continous numeric
guests_included numeric
extra_people numeric
availability_30 numeric
availability_60 numeric
availability_90 numeric
availability_365 numeric
number_of_reviews numeric
review_scores_rating numeric

Statistic And Data Analysis
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Literature Review:
Airbnb operates as an online market place for people looking for accommodation and
the company arranges for lodging, primary homestays or tourism experiences. The dataset is
collected from business dealings of the company and the objective of the report is to offer
insights about patterns in the company dealings to help make better decisions. It has been
suggested that in the hotel business a business should invest more on the type of room that is
most in demand. Out of the room types like private, shared, homestays and hotels what kind
of rooms are most preferred only depends on the clientele of the company. Families might
prefer homestays for small stays and home/apartments for long stays, business men might
prefer Private or Hotel rooms most and student might go with economically cheaper option of
staying in shared rooms( Lee et al 2015). To find out about the core clientele and their
economic class price of rooms checked in can be collected and it can offer interesting
information regarding a business’s clientele.
The objective of the report is to glean insights from the data provided about the
business and make the management make key business decisions.
Section 2:
Proportion of different types of rooms in Airbnb:
Room Type
Frequen
cy
Proporti
on
Entire
home/apt 6103 61.03%
Hotel room 111 1.11%
Private room 3575 35.75%