Week 15 – Intermediate

This week we’re working with small dataset about house sales that needs to be categorized according to certain sliding bins. The catch however , is that the sizes and the number of bins can change quickly.

The challenge is to create a function with a single name that does the following:

• can handle uneven bin sizes
• the first parameter must be the column that will inform your bins (in this example, we categorise according to [price])
• the second parameter should specify the ranges of your bins (remember, these are uneven bins, bin 1 could be 1 – 400, and bin 2 401 – 708, while bin 3 is 709 – 3000) how you do this is up to you: you can specify lower bounds, upper bounds, both, count within each bin….
• if using SQL, as a minimum, it should be able to handle 2-6 bins, if using other languages then you will find them flexible enough to allow you to do any number of bins

The query should look like the following :

SELECT sale_date,
       price,
       your_function(price,<bin_ranges>) AS BUCKET_SET1,
       your_function(price,<bin_ranges>) AS BUCKET_SET2,
       your_function(price,<bin_ranges>) AS BUCKET_SET3,
FROM home_sales

You will then need to pass in the following bin/bucket ranges for testing purposes:

• Bucket_Set1:
  • 1: 0 – 1
  • 2: 2 – 310,000
  • 3: 310001 – 400000
  • 4: 400001 – 500000
• Bucket_Set2:
  • 1: 0 – 210000
  • 2: 210001 – 350000
• Bucket_Set3:
  • 1: 0 – 250000
  • 2: 250001 – 290001
  • 3: 290002 – 320000
  • 4: 320001 – 360000
  • 5: 360001 – 410000
  • 6: 410001 – 470001

Given the buckets above, the following results should be generated:

Remember if you want to participate:

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2. Post your code to GitHub and make it publicly available (Check out our guide if you don’t know how to here)
3. Post the URL in the comments of the challenge.

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