Highlights
You are a data scientist that just received this email from your client:
“
Hello,
I represent a lettings agency in Edinburgh. We have a number of properties located throughout the city, and we are assessing if it would be a good idea to advertise some of those properties on Air B&B (https://www.airbnb.co.uk/). Attached are datasets that we have acquired about other properties in the area. Could you please create a report on this data? If you could provide us with any insights that might help us with our decisions, it would be very much appreciated. We suspect that the area in which the property is located may affect things like how much it is worth to rent and the numbers of bedrooms and bathrooms, but we are not sure if there are any noticeable patterns, or how to quantify them. Additionally, if you could offer us a solution which could help us decide how much the rent price on a particular property is worth, it would be great!
Regards,
”
So, now you need to analyse this data and describe each step you would need to do in order to answer those questions. Precisely, you will need to describe all steps according to the CRISP-DM project methodology, i.e., Data Cleaning, Exploratory Data Analysis, and Modelling (Descriptive Analytics, and Predictive Analytics). PLEASE USE THE REPORT TEMPLATE BELOW.
The dataset
Please, download the dataset here. This dataset is composed of three files: Listings.csv - this csv file contains information regarding the advertised property, such as the name, description, rent price per night, what the minimum and maximum stay is, and some information regarding the reviews.
Hosts.csv - the hosts file provides the name of the owner, since when the host registered on the site, the host location as well as neighborhood.
Property.csv - this file provides some information about the property, including the neighbourhood, the neighbourhood grouping, the location of the property (latitude and longitude), the type of the property and room, the number of bathrooms, bedrooms, and beds, the number of people the property accommodates, and the amenities.
Submission
You will need to submit a report explaining, in detail, the steps that you would take in order to analyse and answer the enquiries raised by your client. More details about the report as well as the report template can be found on the last page of this document.
This CSCU9D2 - Data Analytics Assignment has been solved by our Data Analytics experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.
Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.
© Copyright 2026 My Uni Papers – Student Hustle Made Hassle Free. All rights reserved.