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Type: Organization
Type: Organization
This respository was created by Stefano Greco Barriada, Stan van Goor, Corinne Inzirillo and Arda Reyhan as part of the course 'Data Preparation and Workflow Management' at Tilburg University.
team-assignment-team3 created by GitHub Classroom
This project answers the question: "how can an Airbnb landlord make a listing more attractive with respect to amenities for long-term rentals?" This respository was created by Lisa Holling and Roos van Sambeek for the course 'Data Preparation and Workflow Management" at Tilburg University.
A repository for the research to the impact of corona curfew on the prices of Airbnb listing in Amsterdam
This repository was made by Denise, Max, Rick and Sjuul. The project focusses on ´Airbnb Analysis of Private Rooms and the Effects Of Reviews´. The project is supervised by Hannes Datta, professor at Tilburg University as part of the course ´Data Preperation & Workflow Management'.
This repository hosts research project on Airbnb business in COVID-19 era. The ownership of this repository belongs to Team 5. All project content solely serves the learning goals of Data Preparation and Workflow Management (dPrep) course.
Team assignment by team 8 for the course 'Data Preparation & Workflow Management' which examined how New Year's Eve affects Airbnb prices and the bookings of Airbnb's.
A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.
A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.
Team assignment for the Data Preparation & Workflow Management course, part of the Master degree in Marketing Analytics at Tilburg University. The scope of the assignment is to analyse whether Airbnb prices in Amsterdam, Paris and New York are influenced by 3 public holidays, among other variables.
Workflow that estimates Airbnb pricing in a variety of European cities. Runnable in a dynamic Shiny application based on linear regression. Pipeline automated through Make.
Workflow that estimates Airbnb pricing in a variety of European cities. Runnable in a dynamic Shiny application based on linear regression. Pipeline automated through Make.
It's a repository to analyse how the number of reviews affect review score and how does it differ between big and small cities in Spain.
This project aims to compare the price of Airbnb between various cities across the globe situated in two different hemispheres, to determine the effect of seasonality on the price of Airbnb in these cities.
Investigating the effect of Valentine's Day on Airbnb listings in Paris, Madrid and Rome
This repository is hosted for the course Data Preparation at Tilburg University as part of the master Marketing Analytics. The goal is to research the differences in offerings in roomtypes and neighborhoods as a result of the Corona Pandemic. Are there even Airbnb hosts that benefited from the strict situation?
Example workflow for reproducible science project, using public AirBnB data
Investigating the relationship between price and negative reviews for AirBnB data.
This repository is about analyzing the data of Inside Airbnb for the Team Assignment of the course "Data Prep.&Workflow Mgt at Tilburg University ". Analysis to understand the amount of bedrooms per person has a significant effect on ratings or not.
:memo: An awesome Data Science repository to learn and apply for real world problems.
try fork
This repository is created by team 2 for the course Data Preparation and Workflow Management, taught at Tilburg University for the MSc Marketing Analytics. This project will answer the question "in which cities in the US is it most appealing to rent an Airbnb during the week?"
This repository is created by team 2 for the course Data Preparation and Workflow Management, taught at Tilburg University for the MSc Marketing Analytics. This project will answer the question "in which cities in the US is it most appealing to rent an Airbnb during the week?"
This repository hosts the course website of Tilburg University's open education class on "Data Preparation and Workflow Management" (dPrep) - start managing your empirical research projects efficiently!
This respository was made by Jonas Klein, Matthijs van Gils, Marijn Bransen and Dianne Burgess and was commissioned by Hannes Datta, proffesor at Tilburg University as part of the course 'Data Preparation and Workflow Management'.
This repository is created for Data Preparation and Workflow Management taught at the university of Tilburg. It is Complementary Repo for Project Compiled in my PhD Thesis (Influence of Regular Prices and Discounts on Retailer Performances)
This repository is hosted for the course Data Preparation and Workflow Management of TiSEM at Tilburg University. This research is conducted by five Marketing Analytics master students. Data of Inside Airbnbn is used in this repository.
This repository is created for the course Data Preparation and Workflow Management taught at the university of Tilburg. Our goal is to compare a city's availability on Airbnb during a Formula 1 event with a city that is comparable, but where no event is hosted. As for the scientific method, we are going to implement a quasi-experiment.
This research is about the effect of different host characteristics on prices of Airbnb's. We will compare countries with high and low inflation in the last years to see whether there is a difference in the effect of host characteristics between these countries. We will also give a general impact of host characteristics on prices.
This is a team project for the course Data Preparation and Workflow Management in the masters degree Marketing & Analytics at Tilburg University. The scope of the project is to gain insight in how the prices of Airbnbs differ between the cities Amsterdam, Tokyo and London and how this depend on room type and review score.
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