A main tool Intrepid feature is our Housing Value Impact Modeler. The tool helps people understand how prices co-move in neighboring cities, but it does…
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Intrepid’s report on Culver City Fire Response Times uses a quantile regression model (or “median regression” since we look at the 50th quantile). This blog…
Leave a CommentOur latest tool “The Efficient Volunteer Matching Applet” is now available on our website: It was also featured in a blog post I wrote for…
Leave a CommentSurprisingly, data cleaning is quite time intensive and often not something that can be automated. In my experience, the skill set that makes someone good or bad at data cleaning is not exactly the same as the skill set that makes someone a good researcher or a good analyst. There is overlap of course – creativity is helpful in overcoming data cleaning challenges and in developing analytical models. But being a good analyst often requires one to be alert to the big picture, and to be able to make simplifying assumptions when necessary, whereas data cleaning is all about the odd cases – in fact I think I have spent the vast majority of my time dealing with the 0.1% of observations that do not quite look like the other 99.9%.
Leave a CommentIntroduction In the past weeks, the World Bank released new Enterprise Survey Data for 2018. This new data follows the same format as the…
Leave a CommentIntroduction According to the World Bank, Kenya is classified as a lower-middle-income economy with a gross national income of $1,460 ( USD). As such, it…
Leave a CommentIn our last blog post I introduced Intrepid Insight’s City-to-City Home Value Impact Calculator. In this blog post, as promised, I will expand on the…
Leave a CommentUPDATE 5/30/2018: The mortgage interest control was updated (previously the tool was only controlling for the portion of the mortgage representing realtor fees). All city…
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