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I'm new to the group (first meet = last week), and I was curious whether this project is still live, dev-wise. The reason I ask is that I see it holding much potential in the way of drawing useful statistical insights for residents and developers alike. As a market researcher looking to get into applied data science, I'd love to help with that. :)
I use R and can serve project analyses and/or predictive modeling via REST API. Some ideas for the things we could do, assuming our data collection is representative and reliable, are:
Look for interesting correlations between anticipated income requirements of projects and current local incomes.
Predict need for one or more project benefits from surrounding projects (fyi: this would involve moving away from qualitative input of benefits).
Look for statistically significant outliers, in terms of gov't funding win rate (by developer), completion times, etc.
Hi Guys,
I'm new to the group (first meet = last week), and I was curious whether this project is still live, dev-wise. The reason I ask is that I see it holding much potential in the way of drawing useful statistical insights for residents and developers alike. As a market researcher looking to get into applied data science, I'd love to help with that. :)
I use R and can serve project analyses and/or predictive modeling via REST API. Some ideas for the things we could do, assuming our data collection is representative and reliable, are:
Anyways, those were just some thoughts, and here's an affordable housing investment analysis I recently did for Hack for LA >> (FYI: unfortunately, until I have enough time to merge GIS + Census data per ZCTA, I'm just using 2012 resident data as the average of such data from housing fund recording start till now).
Let me know your thoughts, here or at the next meeting. Hope you're having a good weekend.
Jude C.
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