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Tableau Analysis on Airbnb_ Amsterdam | Hire Data Analysis Assignment Experts

Introduction

This dataset obtains many variables, namely: id number, name, host id, hostname, neighborhood, latitude, longitude, room type, price, number of nights, number of reviews, last review, reviews per month. To clarify, the latitude and longitude are not precise, it can have a distance variation of 150 meter from the original address. The reason is to protect the Airbnb identifications. First, neighborhoods that are outside the city center, i.e. located outside the ring A10, have been removed. The official city center is located more in the center. This research took approximately 3 km around the tourist spots. As mentioned earlier, tourists tend to stay in places within walking distance to the areas where the tourist spots are located

The data behind the Inside Airbnb site is sourced from publicly available information from the Airbnb site. The data has been analyzed, cleansed and aggregated where appropriate to facilitate public discussion.


Using of data for analysis:

These beneficial outcomes will help to understand the complete customer behavior and also about complete information of the listings.


Visualizations


Total Yearly Crimes by Day in Boston, MA





















Dashboard : 1



Bathroom Texts By Bedsbathroom Texts By Beds




Room type By Beds and Bed rooms



Compete dashboard of all respective visualizations:




Discussion:

From the above analysis, we used various advanced big data visualization and analysis techniques to analyze the complete listings of rooms and customer behavior and bed and bedrooms their respective review’s..



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