Dataanalysiskickstarter » History » Revision 14
Revision 13 (Nicolas Aunai, 24/12/2016 03:07 PM) → Revision 14/28 (Nicolas Aunai, 24/12/2016 03:11 PM)
# Data analysis kickstarter * [Which library should I use to handle data series?](#Which-library-should-I-use-to-handle-data-series) ? * [Is there a library for plotting statistical data?](#Is-there-a-library-for-plotting-statistical-data) ? ---- ## Which library should I use to handle data series? You will want to use the python [Pandas](http://pandas.pydata.org) [[pandas| (check here [[pandas]] 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. ## Is there a library for plotting statistical data? [Seaborn](http://seaborn.pydata.org) [[Seaborn]] 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]]