Trulia has just launched two interesting data mashups, PlotorNot and Truliaholic.
PlotorNot will graph any correlation between two factors you choose to compare. PlotorNot merges data for cities across the US with a diverse group of demographic variables (crime, age, rainfall, sex offenders, aver. list price, etc.) to answer questions such as: “Is there a correlation between the higher educated buyer and the average listing price in (choose your state)?” If there is a correlation you will see a graph with a line like the one below. Rolling over a dot will reveal the data source of that point.
The data used to create the (Pearson) correlation comes from the 30 largest cities in the state selected obtained from Trulia API, US Census Bureau, flickr and public data sources. A correlation does not mean there is a cause and effect relationship.
Truliaholic, on the other hand, will graphically compare either the average listing prices or search popularity between two markets over a period of time (1 week - 1 month). Here’s the average list price difference between New York City & San Francisco. over the past month.
Here’s a search popularity comparison between Brooklyn, NY & LA, CA. More people are searching trulia for Brooklyn than LA property.
Of the two mashups, we prefer PlotorNot because of the greater versatility. There was an interesting comment on TechCrunch wondering if PlotorNot could be incorporated with Yahoo Pipes. Seems it can be. That could be interesting.
Trulia has developed these mashup tools to help analyze their data in interesting and hopefully useful ways. More are sure to follow. Nice going Pete, Sami, Roger and the rest of the trulia team.
The mashups coincide with trulia’s opening up its API to the world.
