Dataanalysiskickstarter » History » Version 14
Nicolas Aunai, 24/12/2016 03:11 PM
| 1 | 1 | Nicolas Aunai | # Data analysis kickstarter |
|---|---|---|---|
| 2 | |||
| 3 | |||
| 4 | 12 | Nicolas Aunai | * [Which library should I use to handle data series?](#Which-library-should-I-use-to-handle-data-series) ? |
| 5 | * [Is there a library for plotting statistical data?](#Is-there-a-library-for-plotting-statistical-data) ? |
||
| 6 | 3 | Nicolas Aunai | |
| 7 | 7 | Nicolas Aunai | |
| 8 | 13 | Nicolas Aunai | ---- |
| 9 | |||
| 10 | 8 | Nicolas Aunai | ## Which library should I use to handle data series? |
| 11 | 5 | Nicolas Aunai | |
| 12 | 14 | Nicolas Aunai | You will want to use the python [Pandas](http://pandas.pydata.org) [[pandas| (check here for Pandas tips)]] for analyzing your data. It is in particular very well suited for time series analysis and enable you to very easily manipulate dates, missing data, etc. |
| 13 | 1 | Nicolas Aunai | |
| 14 | |||
| 15 | 2 | Nicolas Aunai | ## Is there a library for plotting statistical data? |
| 16 | 1 | Nicolas Aunai | |
| 17 | 14 | Nicolas Aunai | [Seaborn](http://seaborn.pydata.org) is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. [[Seaborn| Check here for seaborn tips]] |