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| author | Sarah Charlotte Johnson <scharlottej13@gmail.com> | 2024-02-02 15:32:50 -0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-02-02 15:32:50 -0800 |
| commit | 7ec23a39198016eb285cee324c0f967ffda8b084 (patch) | |
| tree | 654c9e96a8a67eb8e00540bc665d4c4911388b2d | |
| parent | 771a151ce64f10f0d9e0ee6a81e245f00de80cf6 (diff) | |
Update README.md
Co-authored-by: James Bourbeau <jrbourbeau@users.noreply.github.com>
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -4,7 +4,7 @@ Inspired by Gunnar Morling's [one billion row challenge](https://github.com/gunn ## Data Generation -You can generate the dataset yourself using the [data generation script](generate_data.py). We've also hosted the dataset in a requester pays S3 bucket s3://coiled-datasets-rp/1trc in `us-east-1`. +You can generate the dataset yourself using the [data generation script](generate_data.py). We've also hosted the dataset in a requester pays S3 bucket `s3://coiled-datasets-rp/1trc` in `us-east-1`. It draws a random sample of weather stations and normally distributed temperatures drawn from the mean for each station based on the values in [lookup.csv](lookup.csv). ## The Challenge |