EDA project entitled "Hotel booing analysis" This project is all about data extraction, data cleaning, data wrangling.

1. -:Exploratory Data Analysis project:-
Presented by:
anjali malviya
Hotel Booking
Analysis

2. -:Point of discussion:-
❖ Data Analysis
❖ Data
Visualization
❖ Conclusion
❖ Objective
❖ Summary of
Data
❖ Data Wrangling

3. -: Objective :-
Data analytics in the hotel
industry is key to marketing
, strategy , building customer
loyalty , and enhancing
productivity . It enables
hotels to
personalise experience for
their guests , introduce better
hotel pricing strategies , and
expand their customer base.

4. -: Summary of the data :-
❑ This data set has a shape (119390, 32)
which means that this dataset consist of
119390 rows and 32 columns .
❑ This data set consist of booking
information for different kinds of hotels ,
and includes information such
as lead time ,customers stay ,belonging of
cutomers ,length of stay among other
things

5. ❑ What type of hotel does a customer book in general?
❑ Which year most of customers arrive?
❑ Which are the busiest months in the year of hotel booking?
❑ How many booking were cancelled.
❑ From which country most guests arrive.
❑ How customers booked their hotel from market segment.
❑ How many customers were stays in week nights and bookin
g changes?
❑ How many repeated customers?
❑ Deposit type payment of customer?
❑ Correlation of Data Set .
-: Data Analysis :-

6. Data visualization
❑ In general customers prefer
city hotels most
❑ Maximum customer
arrived in 2016

7. Data visualization
❑ In this visualization
graph we can easily see the
different deposite type of
customers
❑ The busiest month is
august with the most
check-outs

8. -: Data visualization :-
❑ Greatest number of bookings
were done via online through
travel agent
❑ From portugal maximum
number of guests are arrived

9. -: Conclusion :-
❖In general customers prefer city hotel and city hotel
cancellation were low.
❖In city hotel most booking was made from April to June and
peak in month of October and least bookings were made at
start and end of the year.
❖Portugal were the country which had maximum number of
hotel bookings.
❖Guests uses different channel for making booking , out of
which most preferred way were online through travel agent.
❖There are customers different deposite type like no
deposite,refundable ,non refundable ,80% people opted for
non refundable.

10. Thank you