This data as .json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 197 | 4289 | R 2: Data analysis and plotting in R (repeat) | We'll use the tidyverse and sf packages, learning how to sort, filter, group, summarize, join, map and visualize to identify trends in your data. If you want to combine SQL-like analysis and charting in a single pipeline, this session is for you. This session is good for: People who have worked with data operations in SQL or Excel and would like to do the same in R. | 4 | 2019-03-09 | 2019-03-09 15:30:00 | 2019-03-09 16:30:00 | 0 | 0 | 0 | Sarah Ryley, The Trace | 3 | R 2: Data analysis and plotting in R (repeat) |