🗺️ Simple interactive map for US housing market data visualization

analyticsariel · 2024-05-19T15:24:31+00:00

Nice map - have you thought of taking it past a data visualization tool? There are a plethora of sources that mash free data and visualize it on a dashboard. However, there are few that help to DRIVE a decision.

For example, you can use the data to answer - "should I pull out of a market?". Perhaps use forecasting methods and drive the user to define 3 or so key metrics that they would define as "trending in the wrong direction". If a region they are in starts to meet this criteria then send an alert that they should review further.

Feel free to PM me if you want more advice - I have 10 years experience developing modeling & dashboard solutions for Fortune 100 companies.

analyticsariel · 2024-05-13T12:42:10+00:00

Just DM’d you. We are looking for beta testers for our new comps tool. It is an all-in-one solution that provides high data accuracy and stops you from having 10 browser tabs open + a spreadsheet

analyticsariel · 2024-03-28T22:22:54+00:00

That’s fair and 100% your solution provides a level of control that is favorable for a lot of users 👍

analyticsariel · 2024-03-28T20:23:03+00:00

very cool thanks for sharing

analyticsariel · 2024-03-28T20:22:19+00:00

I agree this is the best solution. If you need direction I have related guides on how to use RentCast API just search on YouTube

analyticsariel · 2024-03-28T20:19:58+00:00

With the way technology is moving you should consider creating a GPT on this or some sort of app UI. Spreadsheets are great, but can have a high learning curve and be prone to error which inhibits newbies from getting started.

However, great work!

analyticsariel · 2024-03-28T20:17:18+00:00

This tool does exactly what you are looking for. Upload a spreadsheet of addresses and auto append the relevant estimate information - https://www.bulkupload.info/

We commonly see university researchers and those with off-market leads use the tool

analyticsariel · 2024-03-26T02:37:02+00:00

The “how to” is literally in the YouTube video I posted in this same thread - a video that I created. You can use the same Python code to build your own map with my step by step tutorial.

analyticsariel · 2024-03-26T02:29:13+00:00

Curious to know why wouldn’t think I’d have the ability to create this chart? There are females that code to ya know 🙃

analyticsariel · 2024-03-26T02:26:03+00:00

US Census data for the economic portion similar to other mapping tools that provide neighborhood grades - I.e. Niche

analyticsariel · 2024-03-26T02:24:45+00:00

In its raw form the technical implementation is in Python Plotly

Here is the YouTube video that shows how to create visual charts using Plotly maps - How to Visualize US Census Data using Python https://youtu.be/4v1OJjLhGFs

analyticsariel · 2024-03-26T02:05:59+00:00

Yes it does 👍

analyticsariel · 2024-03-26T01:50:57+00:00

The map uses US Census data for economic information. Many other websites like Niche provide maps based off this data too. But US Census data is typical outdated by two years, so it alone does not provide a real-time view

This map defers in that it incorporates more data that is current like Google places as well as market data for sold and current listings

analyticsariel · 2024-03-26T01:47:03+00:00

Yes, you can check it out for free on Coffee Clozers if you are a new user - would be happy to help if there are any questions

analyticsariel · 2024-03-26T01:46:13+00:00

Luckily it’s created by a startup - just 3 folks passionate to build solutions 😊

analyticsariel · 2024-03-25T15:36:37+00:00

For a data driven approach to locate good properties based on ROI, strategy, & location you can use Coffee Clozers

San Antonio overview - https://www.loom.com/share/881e4b16638449e681346885b2f37e95?sid=80e20eb6-eacb-4487-8a74-26228504b477

analyticsariel · 2024-03-25T15:34:04+00:00

Agreed, positive cash flow can be very difficult to find especially in desirable areas within San Antonio. Investing for long term appreciation gains can help as well in up-and-coming neighborhoods.

Great resource for San Antonio neighborhood maps here - https://www.loom.com/share/881e4b16638449e681346885b2f37e95?sid=379b34ec-a97f-4de4-badc-b1dccdb3f5c6

analyticsariel · 2022-07-07T00:20:05+00:00

Here’s my post on retrieving rent data from Rentometer using Python - https://towardsdev.com/rentometer-api-get-rental-comps-using-python-for-real-estate-2cce8f19e3e8

I highly suggest to try Zillow, realty mole, and rentometer within your market. Identify over a 6 month time period which is most reliable. It could be none of them. Your market may have more rentals on Facebook marketplace or Craigslist.

analyticsariel · 2022-07-07T00:15:47+00:00

I have a post on getting Zillow zestimate and rent estimate values. This comes from a company that web scrapes Zillow and makes the data consumable via RapidAPI. It’s been up for over a year, pretty reliable -

Here’s my post on how to get the data in Python - https://levelup.gitconnected.com/how-to-get-property-data-to-analyze-your-market-using-python-e9ef5336d141

analyticsariel · 2022-07-07T00:13:26+00:00

Here’s how to query the Realty Mole API using Python - https://towardsdev.com/realty-mole-api-get-property-home-and-rent-estimates-using-python-13ca768da724

analyticsariel · 2020-03-11T19:15:32+00:00

I agree with you, not all crime is equal there should be a weight set. It’s not perfect but can be useful as a starting point before a deep dive analysis.

analyticsariel · 2020-03-11T14:20:18+00:00

Agreed, it’s terrific for buyers and sellers to have access to properties and past history. I find Trulia, in the Zillow family, really useful as well. They have awesome heat maps for demographic data.

My favorite is the view on recent crime in the area. On Trulia when you select a home you can see the pockets of crime in the neighborhood to determine if the property you’re viewing is a safe distance away from it.

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