Kids Can't Fly

Kids are missing and we don't know why; at the very least we know that kids can't fly.

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What it does

We tried to find a correlation between the number of churches in an area to the reported missing children in that area(by county fip number) and plotted these values for each county fip number onto a scatter plot. All of this is done by connecting to the HPCC's cluster and using ECL to query their database and using their visualization tools to plot the queried data.

How we built it

The scatter plot we ended up with used queried data from the NCMEC, city, and church datasets that were joined by city and state and cross tabbed by county fip.

Challenges we ran into

Nearly every step of the project was challenging due to our unfamiliarity with ECL.

Accomplishments that we're proud of

Being able to successfully use ECL to make a scatter plot to between the amount of churches in a county fib and the amount of reported missing children in a county fip

What we learned

We learned how to connect to HPCC's cluster to query datasets and use their visualization tool

What's next for Kids Can't Fly

We would like to add extra data (what religion each church has) into the cluster and make a geological heatmap with two layers

Built With

  • ecl
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