# Analysing iNat data

**URL:** <https://forum.inaturalist.org/t/analysing-inat-data/6001>\
**Category:** General\
**Tags:** recommendations\
**Created:** [August 23, 2019, 2:16am UTC](https://forum.inaturalist.org/t/analysing-inat-data/6001 "2019-08-23T02:16:43Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![glmory](https://sea2.discourse-cdn.com/flex016/user_avatar/forum.inaturalist.org/glmory/32/259_2.png) [@glmory](https://forum.inaturalist.org/u/glmory)\
**Post date:** [August 23, 2019, 3:47am UTC](https://forum.inaturalist.org/t/analysing-inat-data/6001/3 "2019-08-23T03:47:16Z")

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While I haven’t done it with iNaturalist data, if you are trying to start doing data analysis on large datasets I suggest learning some python. Packages in python such as Numpy, Pandas, Scipy, Scikit-learn and Matplotlib go awfully far for data analysis.

I suspect it is possible to use [pyinaturalist](https://pypi.org/project/pyinaturalist/) and the [API reference](https://www.inaturalist.org/pages/api+reference) for getting data out of iNaturalist as well, but it seems like you were already able to extract to excel already.

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