Welcome all to SANTALYTICS PART TWO!
If you are just checking out Santalytics for the first time, please read the announcement blog for the inside scoop: #SANTALYTICS 2018
In Part 1, we took a look at IRS data and invited you to help us identify a local charity. This weeks challenge is designed to replicate how we might allocate those donation dollars to serve the needs of the organization we identified - A Precious Child. One of the key focus areas of said charity is to provide basic necessities to children in need who would otherwise go without.
Community's promise in this challenge is to donate $20 per solution between 12/17-12/21 with a $2,000 max! Solving for good? Now that's something I can get on board with. What's more, your solution will almost surely change the answer to the problem. Since you are adding a solution, you will trying to solve our problem with $20 more than the previous solver.
In the great tradition of Santalytics, we do not provide a fixed answer, but will give some rules to guide you through the challenge:
1) You'll need to scrape the Community to determine the number of solutions that have been posted (for ease you can just count .yxmd/.yxzp attachments). For those who want to skip this and take the 'easy' path, a macro is attached. We realize that the number of attachments != the number of solutions, but we can pad it a little right?!
2) The number of 'solutions' * $20 will be the donated value you are working with
3) The item data set (StoreData.yxdb) has two types of items - hygiene and clothing. Try to categorize them as you think they should and make sure that you donation is split 50/50 across the two categories to make sure we aren't heavily weighted to once side
4) Make sure the items has a 4+ star rating, 10+ reviews and is in stock
5) No one item can be purchased more than 10x for diversity of donations.
After you're done, post up your solution. We might just use your solution as the shopping list!
NOTE: This will be the last challenge of 2018. We will be resuming challenges in 2019-01-07.