Tableau Analysis on Airbnb_ Amsterdam | Hire Data Analysis Assignment Experts
- realcode4you
- Jan 25, 2023
- 1 min read
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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With this post, I will cover the following topics: first, how to analyze the Airbnb data of Amsterdam, in terms of its trends, bookings, listings, and geography; second, to understand the data and, third, to locate professionals who can help with such types of data analysis assignments similar to an Airbnb analysis. Such persons could be found advertising for help with CIDP assignments either as professional or student services that require data analysis using tools like tableau..
Excellent explanation on how to use Tableau to examine Amsterdam's Airbnb data! The visuals are particularly useful for spotting pricing and occupancy trends. For companies trying to optimize their plans based on data-driven insights, this kind of study is revolutionary. You may find the finest pricing, free CV reviews, and other things at cvireland.com if you are looking for the top CV writers in Ireland.