Dataanalysiskickstarter » History » Version 5
Nicolas Aunai, 24/12/2016 03:01 PM
| 1 | 1 | Nicolas Aunai | # Data analysis kickstarter |
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| 4 | 4 | Nicolas Aunai | * [create an anchor](#which-library-should-I-use-to-handle-data-series) |
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| 6 | 4 | Nicolas Aunai | ## Which library should I use to handle data series |
| 7 | 3 | Nicolas Aunai | |
| 8 | 1 | Nicolas Aunai | 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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| 68 | 1 | Nicolas Aunai | |
| 69 | 5 | Nicolas Aunai | ## Which library should I use to handle data series |
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| 71 | 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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| 72 | 1 | Nicolas Aunai | |
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| 74 | 2 | Nicolas Aunai | ## Is there a library for plotting statistical data? |
| 75 | 1 | Nicolas Aunai | |
| 76 | 2 | Nicolas Aunai | [[Seaborn]] is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. |