Dataanalysiskickstarter » History » Revision 7
Revision 6 (Nicolas Aunai, 24/12/2016 03:02 PM) → Revision 7/28 (Nicolas Aunai, 24/12/2016 03:04 PM)
# Data analysis kickstarter * [create an anchor](#toto) anchor](#which-library-should-I-use-to-handle-data-series) 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 ## toto 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.