{"id":2868,"date":"2016-07-27T18:13:37","date_gmt":"2016-07-27T18:13:37","guid":{"rendered":"https:\/\/notebooks.dataone.org\/?p=2868"},"modified":"2016-07-27T18:13:37","modified_gmt":"2016-07-27T18:13:37","slug":"week-nine-drafting-the-write-up","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/dataone-impact\/week-nine-drafting-the-write-up\/","title":{"rendered":"Week Nine: Drafting the Write-up"},"content":{"rendered":"
This past week was spent creating and editing the graphics for the paper – I dove head first into the world of ggplot and was pleasantly surprised at how easy it was to work with. One type of graph – the initial timelines graph – was almost impossible to create in R, so I had to use Excel for that graph. The majority of the week was spent on the graphics, as well as documentation of the plots and my r-code.<\/p>\n
This week has been focused and will continue to be focused\u00a0on writing up and editing the results, and combining them with the introduction. So far, the write-up is not as structured in terms of “sections” as with other scientific papers, but the flow seems to make sense.<\/p>\n","protected":false},"excerpt":{"rendered":"
This past week was spent creating and editing the graphics for the paper – I dove head first into the world of ggplot and was pleasantly surprised at how easy it was to work with. One type of graph – the initial timelines graph – was almost impossible to create Continue reading Week Nine: Drafting the Write-up<\/span>