Should you rent out a house in LA?

About this project Overview For this challenge, I opted to try myself out with Tableau. The brief was to:

Assume the role of a Lead Analyst that scopes out rental investments in Los Angeles Review and analyze the data provided for interesting patterns and trends Develop a single page visual that gives potential investors a good understanding of the market to guide them in making investment decisions.

My Plan

Simple and clean with a consistent palette Structured and flowing, telling a progressive story Clear in terms of visibility of graphics and legibility of any text I landed on asking three simple questions:

Where? Which cities had the most rentals available?

How? How much were rentals going for in certain areas?

What? What was the average bath, bed, and square footage of the rentals?

I wanted to explore rental prices in Los Angeles based on the zip code and number of bedrooms as well as square footage. This is great information to have based on where I should buy a rental property in Los Angeles. I wanted to have some data on home rental prices in Los Angeles. I wanted to see the amount homes were renting for in certain areas to think about investing in a home. I couldn't find a dataset, but I mentioned it in a post on LinkedIn. A connection messaged me and said he could use Python to get real-time data and send me the data set. I was so happy with this collaboration. I had to keep in mind this dataset only includes the currently available rentals. It doesn't include people who are already renting.

​This data helped me visualize the availability of rentals by city or zip code. The map helped me easily see what neighboring cities rent prices were. I was also able to see what the average number of bedrooms and bathrooms were. ​

When buying an investment property I also have to keep in mind the price of buying the home. Of course I would love to have a home that rents for $75,000 but the price of that home in Beverly Hills is way more than I can afford.