Dataanalysiskickstarter » History » Version 15
Nicolas Aunai, 24/12/2016 05:21 PM
| 1 | 1 | Nicolas Aunai | # Data analysis kickstarter |
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| 4 | 15 | Nicolas Aunai | ## General Data Analysis |
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| 6 | 12 | Nicolas Aunai | * [Which library should I use to handle data series?](#Which-library-should-I-use-to-handle-data-series) ? |
| 7 | * [Is there a library for plotting statistical data?](#Is-there-a-library-for-plotting-statistical-data) ? |
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| 11 | ## Space Plasmas analysis |
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| 13 | * How can I open a CDF file? |
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| 14 | * |
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| 17 | 8 | Nicolas Aunai | ---- |
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| 20 | 15 | Nicolas Aunai | ### Which library should I use to handle data series? |
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| 22 | 1 | Nicolas Aunai | 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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| 25 | 15 | Nicolas Aunai | ### Is there a library for plotting statistical data? |
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| 27 | 14 | Nicolas Aunai | [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]] |