Dataanalysiskickstarter » History » Version 13
Nicolas Aunai, 24/12/2016 03:07 PM
| 1 | 1 | Nicolas Aunai | # Data analysis kickstarter |
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| 4 | 12 | Nicolas Aunai | * [Which library should I use to handle data series?](#Which-library-should-I-use-to-handle-data-series) ? |
| 5 | * [Is there a library for plotting statistical data?](#Is-there-a-library-for-plotting-statistical-data) ? |
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| 8 | 13 | Nicolas Aunai | ---- |
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| 10 | 8 | Nicolas Aunai | ## Which library should I use to handle data series? |
| 11 | 5 | Nicolas Aunai | |
| 12 | 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. |
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| 15 | 2 | Nicolas Aunai | ## Is there a library for plotting statistical data? |
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| 17 | 2 | Nicolas Aunai | [[Seaborn]] is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. |