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An intermediate and useful guide on a variety of fields of information analysis with R: from loading facts from textual content files, databases or APIs; munging; transformations; modeling with common statistical procedures and equipment learning to visualization of tabular, network, time-collection and spatial info with fingers-on illustrations.
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supports the see that there is excellent linear marriage between the two variables. 6. Statisticshelpdesk
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The “base” graphics system of R: classic S graphics. The power and suppleness of grid graphics. Creating on top of the base or grid graphics: Trellis graphics and developing new graphics features.
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