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| rowid | event_id | name | clean_description | location_room | start_date_clean | start_time | end_time | pre_reg_flag | paid_flag | laptop_flag | speakers_cleaned | session_type | keywords | skill_level | session_title |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 208 | 4208 | Share your work: Publishing your data analysis with R | You will save time, produce better results, create more trusted analyses, reduce risk of errors and encourage collaboration by implementing reproducible data analysis workflow techniques. We will be going over tools like RMarkdown and interactive notebooks to weave together narrative text and code to produce formatted reports for sharing with collaborators (including your future self!). We will walk through hosting these reports and raw data files on GitHub. We will discuss best practices on how to structure your projects and repos. This session is good for: R users interested in improving their workflow | 16 | 2019-03-07 | 2019-03-07 10:15:00 | 2019-03-07 11:15:00 | 0 | 0 | 0 | Christine Zhang, The Baltimore Sun | 3 | 2 | Share your work: Publishing your data analysis with R |