Dataanalysiskickstarter » History » Revision 5
Revision 4 (Nicolas Aunai, 24/12/2016 02:55 PM) → Revision 5/28 (Nicolas Aunai, 24/12/2016 03:01 PM)
# Data analysis kickstarter * [create an anchor](#which-library-should-I-use-to-handle-data-series) ## 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. 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.