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berlin-airbnb-analysis's Introduction

Analysis of the Airbnb Berlin dataset

Table of Contents

  1. About
  2. Objective
  3. Acknowledgements
  4. Visualisation

About

This repository contains the code of the Airbnb Berlin dataset data analysis. The dataset is made available directly on the Airbnb website: http://insideairbnb.com/get-the-data.html. The dataset is made available directly on the Airbnb website . The data used in this analysis are those as of October 13, 2020. Prior to the analysis, I carried out appropriate data cleansing and preparation.

Objective

The purpose of this analysis is to explore a dataset of Airbnb in Berlin with particular regard to the differences between the former East and West:

  1. What are the key factors that influence the price?
  2. Where are the most expensive neighbourhoods?
  3. Where are the most popular neighbourhoods?

My thanks go to Airbnb for sharing this data. The licensing of the data can be found under the link below: http://insideairbnb.com/get-the-data.html Additional thanks goes to https://github.com/schrankf for initally leading me to the dataset and potential questions that I could use to analyze that data

Visualisation

Attached is the link of my tableau visualisation explaining the data with visuals: https://public.tableau.com/app/profile/samuel.nyarko.osei.tutu/viz/BerlinAirbnb_16364629486710/Dashboard1

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