Dataanalysiskickstarter » History » Revision 12
Revision 11 (Nicolas Aunai, 24/12/2016 03:05 PM) → Revision 12/28 (Nicolas Aunai, 24/12/2016 03:07 PM)
# Data analysis kickstarter * [Which library should I use to handle data series?](#Which-library-should-I-use-to-handle-data-series) [create an anchor](#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) ? You You You You You You You You You You You You You You You You You You You You You You You You You You You You You You ## Which library should I use to handle data series? You will want to use the python [[pandas]] 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]] is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.