Skip to content

pedflotor/Analysis-Airbnb-Sevilla

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Touristic trends and insights of Airbnb in Seville, Spain

In this project an analysis of different Airbnb data available will be carried out to get an overview of the touristic trends in the city of Seville

Table of Contents

  1. Requirements
  2. Jupyter Notebook
  3. Data
  4. Summary of Results
  5. Article of the Project
  6. Acknowledgements

Requirements

The following libraries are needed to run the notebook:

  • numpy
  • pandas
  • itertools
  • matplotlib
  • seaborn
  • datetime
  • wordcloud
  • PIL
  • string
  • nltk
    • word_tokenize
    • stopwords
    • RegexpTokenizer
  • os

Jupyter Notebook

Here will be done the analysis of the data to answer the following questions:

  1. Is Seville a popular city the whole year? How price and availability change?
  2. How has changed the market through the years? Did the pandemic has an impact?
  3. Is there a relationship between neighbourhood and price?
  4. Which words are the most used by tourists when doing a review?

Data

This is the Airbnb data that will be used for the analysis:

  1. (listings.csv): Detailed data of the accomodations available in the city
  2. (reviews.csv): Reviews of guests
  3. (calendar.csv): Data with availability and prices
  4. (neighbourhoods.csv): List with the neighbourhoods of Sevilla

Summary of Results

The answers to the questions on the notebook were:

  1. The popularity of Sevilla is approximately constant along the year with 4 peaks in April, May, September and October. The price is constant and there is more availability during the first semester of the year Popularity_of_Sevilla

  2. Up to 2019 the growth was constant and continuous. However in 2020, when the pandemic started, the number of stays in Seville sharply decreased. Growth

  3. The overall average price and the average price of Casco Antiguo neighbourhood are very closed as expected since the amount of apartments in this zone represents around the 70% of all the offer available in the city Price_average

  4. In general ‘great stay’, ‘great host’ or ‘highly recommend’ and for Casco Antiguo neighbourhood the most common words are ‘walking distance’, ‘bien situé’ or ‘bien ubicadoPopular_words

Article of the Project

Acknowledgements

About

Analysis of the data provided by Airbnb for the city of Sevilla, Spain

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published