Analyze zone type as a predictor of user accuracy

[jonfroehlich]

We can get the zone information for Seattle from Raymond Fok and for Washington DC from @misaugstad.

This relates to https://github.com/ProjectSidewalk/sidewalk-quality-analysis/issues/22

[misaugstad]

I think this is probably the data you want from DC https://drive.google.com/open?id=1owNZR7PPpJXWtVfGDBRTrxD7LKpCxhxY

[nch0w]

Here's a plot of zone type vs proportion of labels that are correct for each label type. I filtered out zone types that had less than 100 labels of the given label type. A trend: Industrial is hard, as we predicted.

[jonfroehlich]

Could likely do a chi-squared test to see if there are significant differences in the pattern

On Fri, Aug 2, 2019 at 4:43 PM Neil Chowdhury notifications@github.com wrote:

Here's a plot of zone type vs proportion of labels that are correct for each label type. I filtered out zone types that had less than 100 labels of the given label type. [image: Screenshot from 2019-08-02 16-38-01] https://user-images.githubusercontent.com/17211794/62403775-909b2100-b544-11e9-8101-c2c83a13581d.png A trend: Industrial is hard, as we predicted.

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