Challenge background
Finding affordable housing to rent or buy is one of the biggest challenges in France. In this project, we want to empower users with the preliminary research so that they are able to avoid falling prey to too-good-to-be-true scams and make an informed choice.
The problem
In this project, we want to empower users with the preliminary research so that they are able to avoid falling prey to too-good-to-be-true scams and make an informed choice.
The only required input would be the user’s net salary and whether they intend to rent or buy. Based on the user’s net monthly salary and the intention to rent or buy, this publicly available dashboard will help users see the potential locations of affordable housing.
Goal of the project
Creation of an interactive dashboard to provide an overview of housing affordability in the greater Parisian region
Project timeline
- 1
Week 1
- Find relevant and trustworthy data sources on renting and buying rates in the past few months
- Additional information to document: rent ceiling information, min. area per person allowed by law, salary ranges and its relation with loans or typical renting rates, housing loan interest rates, etc.
- Define feasible objectives based on available data
- 2
Week 2
- Exploratory Data Analysis (EDA) to get:
- General evolution of renting and buying rates over the last few months and by areas
- Affordability of housing based on typical salary ranges
- Select the most user-friendly visualizations for the final dashboard
- Bonus: Prediction models of future trends
- Exploratory Data Analysis (EDA) to get:
- 3
Week 3
- Start building Streamlit WebApp with Tableau plots or Tableau public dashboard
- 4
Week 4
- Complete deployment of WebApp or dashboard
- Complete report on interesting trends
What you'll learn
In this project, participants will be guided to perform the following steps:
- Data Collection through web scraping and creation of data library
- Data Analysis of renting and buying rate alongside typical salary ranges in Python
- Deploying Dashboard and Visualization to make the research available to the public