SlideShare a Scribd company logo
childHood
Finding a kid-friendly
place to live
Challenge
I am moving to NYC for the
Insight Data Science fellowship!
But... I have kids.
Are the places we can
afford good for kids?
Problem
I am moving to NYC for the AMAZING Insight
Data Science fellowship!
But... I have kids. Where should I live?
Problem
Problem
I am moving to NYC for the AMAZING Insight
Data Science fellowship!
But... I have kids. Where should I live?
Problem
I am moving to NYC for the AMAZING Insight
Data Science fellowship!
But... I have kids. Where should I live?
Problem
I am moving to NYC for the AMAZING Insight
Data Science fellowship!
But... I have kids. Where should I live?
Problem
I am moving to NYC for the AMAZING Insight
Data Science fellowship!
But... I have kids. Where should I live?
Solution
Rank addresses based on:
school quality
crime rate
number of children who live nearby
traffic
childHood
Sampling
100 locations in each of 266 neighborhoods
Sampling
1 km radius drawn around each location
Sampling
6000 traffic monitors
Sampling
~100,000 major crimes in 2013
Analysis
● For each sampled location:
– Determine public school quality
– Find the number of major crimes
– Use census data to see how many kids live nearby
– Identify nearby traffic monitoring sites
● Calculate z scores for each neighborhood and across NYC
● User address scores are calculated and ranked compared to the
sampled locations in the same neighborhood and across NYC
Does it work?
Joshua
Ainsley
childHood
childHood

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