# Columns to look at

**URL:** <https://community.drivendata.org/t/columns-to-look-at/2359>\
**Category:** Pump it Up: Data Mining the Water Table\
**Created:** [May 13, 2018, 10:15pm UTC](https://community.drivendata.org/t/columns-to-look-at/2359 "2018-05-13T22:15:52Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![AsifEmon](https://yyz2.discourse-cdn.com/flex028/user_avatar/community.drivendata.org/asifemon/32/716_2.png) [@AsifEmon](https://community.drivendata.org/u/AsifEmon)\
**Post date:** [May 13, 2018, 10:15pm UTC](https://community.drivendata.org/t/columns-to-look-at/2359/1 "2018-05-13T22:15:52Z")

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Can anyone tell which columns are important for the dataset? Thanks

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**Author:** ![noahlorinczcomi](https://avatars.discourse-cdn.com/v4/letter/n/85f322/32.png) [@noahlorinczcomi](https://community.drivendata.org/u/noahlorinczcomi)\
**Post date:** [June 5, 2018, 9:59pm UTC](https://community.drivendata.org/t/columns-to-look-at/2359/2 "2018-06-05T21:59:34Z")

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You’ll have to do some inspection of the data to really understand which you believe are most important. Hint: some of the columns are duplicates but the values are just spelled/recorded slightly differently.