Data Analyst Needed for Rent VS Buy Study
Budget: ₹600 – ₹3,000 INR
I'm in need of an experienced data analyst to help me with a project focused on housing markets, specifically rent versus buy scenarios. Here are some details:
- **Data Analysis Type**: I need a professional who can perform both data visualization and predictive modeling. You should be able to interpret the data in a meaningful and visually appealing way, as well as predict future trends or patterns based on the data analysis.
- **Data Sourcing**: While the data size isn't predefined, you'll be required to source the data from multiple sources yourself. This means you should be well-versed in data collection, cleaning, and preparation. The sources should be relevant to the housing market, specifically the rent versus buy dynamics. YOU WILL NOT BE GIVEN THE DATA, YOU HAVE TO FIND IT YOURSELF ON FREE ONLINE SOURCES.
Your role in this project will be crucial in helping me understand and potentially make decisions about the housing market. The ideal candidate should have a strong background in statistical analysis, data visualization, and predictive modeling. Experience with real estate or housing markets would be a bonus.
below are the project details:
I'm in need of an experienced data analyst to help me with a project.
There is an article on “the cost of homeownership soaring” on the front page of the Wall Street Journal today. It talks about home insurance premiums skyrocketing, and property taxes as well. You can’t deny that mortgage rates in the 7% range makes home ownership more expensive, but it doesn’t provide a fair look at the value of being a homeowner vs a renter. It is a one-sided article almost encouraging 1st time homebuyers to rent instead of make an investment when the reality is that homeownership historically has been one of (if not the best) investments in US history. If you look at the source data example below of home price appreciation since 1942, it has not increased only 7 years in the last 80 years. Then when you factor in that most 1st time homebuyers only put down 3.5% of the purchase price with their own cash but get the entire value of the asset increasing … far outweighs renting over time. At least, I think. The question is if you had bought in the 1980s when rates were high, where would you be today? If you buy today, where will you be in 15 years compared to renting. Even in this higher cost environment.
So here is the ask. I’d like to refute this article with a brief article of my own. I can do the commentary, but I need someone to pull the facts, run the math, and provide me a 10-12 charts that are not pulled from existing articles or ripped off twitter.
There is plenty of free or trial period type data repositories (ychart, statista, etc) or (mba, and other trade orgs) that can provide the raw data. Can you run the analysis and provide the comparison between the average renter & homebuyer, and determine which is the better path?
- **Data Analysis Type**: I need a professional who can perform both data visualization and predictive modeling. You should be able to interpret the data in a meaningful and visually appealing way, as well as predict future trends or patterns based on the data analysis.
- **Data Sourcing**: While the data size isn't predefined, you'll be required to source the data from multiple sources yourself. This means you should be well-versed in data collection, cleaning, and preparation. The sources should be relevant to the housing market, specifically the rent versus buy dynamics. YOU WILL NOT BE GIVEN THE DATA, YOU HAVE TO FIND IT YOURSELF ON FREE ONLINE SOURCES.
Your role in this project will be crucial in helping me understand and potentially make decisions about the housing market. The ideal candidate should have a strong background in statistical analysis, data visualization, and predictive modeling. Experience with real estate or housing markets would be a bonus.
below are the project details:
I'm in need of an experienced data analyst to help me with a project.
There is an article on “the cost of homeownership soaring” on the front page of the Wall Street Journal today. It talks about home insurance premiums skyrocketing, and property taxes as well. You can’t deny that mortgage rates in the 7% range makes home ownership more expensive, but it doesn’t provide a fair look at the value of being a homeowner vs a renter. It is a one-sided article almost encouraging 1st time homebuyers to rent instead of make an investment when the reality is that homeownership historically has been one of (if not the best) investments in US history. If you look at the source data example below of home price appreciation since 1942, it has not increased only 7 years in the last 80 years. Then when you factor in that most 1st time homebuyers only put down 3.5% of the purchase price with their own cash but get the entire value of the asset increasing … far outweighs renting over time. At least, I think. The question is if you had bought in the 1980s when rates were high, where would you be today? If you buy today, where will you be in 15 years compared to renting. Even in this higher cost environment.
So here is the ask. I’d like to refute this article with a brief article of my own. I can do the commentary, but I need someone to pull the facts, run the math, and provide me a 10-12 charts that are not pulled from existing articles or ripped off twitter.
There is plenty of free or trial period type data repositories (ychart, statista, etc) or (mba, and other trade orgs) that can provide the raw data. Can you run the analysis and provide the comparison between the average renter & homebuyer, and determine which is the better path?