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Dataanalysiskickstarter » History » Version 17

Nicolas Aunai, 01/01/2017 11:23 AM

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# Data analysis FAQ
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## General Data Analysis
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* [Which library should I use to handle data series?](#Which-library-should-I-use-to-handle-data-series) ?
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* [Is there a library for plotting statistical data?](#Is-there-a-library-for-plotting-statistical-data) ?
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* [Where can I learn machine learning?](#Where-can-I-learn-machine-learning)?
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## Space Plasmas Analysis
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* [How can I open a CDF file?](#How-can-I-open-a-CDF-file)?
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## General Data Analysis
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### Which library should I use to handle data series?
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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.
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### Is there a library for plotting statistical data?
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[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]] 
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### Where can I learn machine learning?
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Check out [[machinelearning| this page]] to find many links on machine learning.
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## Space Plasmas Data Analysis
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### How can I open a CDF file?
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You should install [Spacepy](https://pythonhosted.org/SpacePy/index.html) on your machine. Then import the module ```spacepy.pycdf``` to load CDF files. Documentation for [PYCDF is here](https://pythonhosted.org/SpacePy/pycdf.html)