
Hi Maveryx,
A solution to last week’s challenge can be found here.
Roland (@RWvanLeeuwen) submitted this challenge as a follow-on to our Valentine’s Day spatial challenge, and solving it now is a great way to celebrate summer in the northern hemisphere. Thank you, Roland, for submitting another great challenge!
In Challenge #413 you applied your data analytics skills to help your friends visit as many ice cream shops as possible, including those that served a particular ice cream flavor. However, your friends are now worried about all the caloric intake, and for the next road trip they want to add some balance by focusing on store locations that are somewhat clustered together so you can all ride your bicycles to the ice cream shops instead!
Note: This challenge helps us check whether a group of shops might be located on the border of multiple states. We need to eliminate the limitation that the closest stores have to be located in the same state. Additionally, the bike ride you and your friends plan to take has specific distance parameters that you all believe will work best.
Your tasks for this challenge:
- Create grids with cells that are 1 mile in size, and for each grid, find the 100 nearest ice cream shops within a 40-mile radius.
- Select the grid cells that have at least 10 ice cream shops.
- Select the 100 grid cells with the lowest average distance between the shops and the grid cell location.
Need a refresher? Review the following lessons in Academy to gear up:
Good luck!
