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October DataJam: Housing Price #93

@kelsonSS

Description

@kelsonSS

There are a number of housing Variables called
House_val_15K_20K
House_vall_25K_30K
etc.

  • create a variable called housing_prc_under_250K which aggregates all housing house_vals underneath that value

-[] create a variable called median_house_value that finds which category holds the cumulative 50th percentile and returns the mean of that val as a int
ex. 25-30K = 5%
30-50k = 20%
50-150k =25%
150-250k 25%.
in this scenario the median 50th percentile is in the 50-150k bracket so return 100,000 (the average of 50-150k)

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