# Strange coordinates for some training cells

**URL:** <https://community.drivendata.org/t/strange-coordinates-for-some-training-cells/6834>\
**Category:** Snowcast Showdown\
**Created:** [December 10, 2021, 12:04pm UTC](https://community.drivendata.org/t/strange-coordinates-for-some-training-cells/6834 "2021-12-10T12:04:27Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![simon.jegou](https://avatars.discourse-cdn.com/v4/letter/s/439d5e/32.png) [@simon.jegou](https://community.drivendata.org/u/simon.jegou)\
**Post date:** [December 10, 2021, 3:01pm UTC](https://community.drivendata.org/t/strange-coordinates-for-some-training-cells/6834/3 "2021-12-10T15:01:50Z")

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Hello @CynthicV

I displayed the 700 sites provided in `ground_measures_*_feature.csv` as you did (triangles), but also the 18,130 cells from `grid_cells.geojson` (small dots). The problem appears with the latter file.

In the `submission_format.csv` file there are 9,066 cells. Looking at the locations of these cells (red dots below, as opposed to the blue dots and the 700 sites), we can see a large concentration of these cells are in California and Colorado. Is it normal that the metric of the challenge favor these 2 states ? This question linked to [Problem clarification](https://community.drivendata.org/t/problem-clarification/6809) thread and how the test data will look like

 ![image](https://canada1.discourse-cdn.com/flex028/uploads/drivendata1/original/2X/f/f8486fd18b6cc0e4896269d4cd6f18753aa779c2.png)

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