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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | 4092 | Exploring the tidyverse in R *pre-registered attendees only | Skill level: Intermediate Learn how to use the tidyverse, a collection of R packages will help you make your data journalism more efficient, stronger and fun. Learn how to import, clean, analyze and plot data for your stories. If you've used packages like dplyr, tidyr, readr, ggplot2, tibble and purr, or would like to learn more about how these work together, this class is for you. Preregistration is required and seating is limited. Laptops will be provided for the training.? ? Workshop prerequisites: You should be comfortable working with R and RStudio. You should also be familiar with basic data analysis. | 17 | 2019-03-09 | 2019-03-09 09:00:00 | 2019-03-09 17:45:00 | 1 | 1 | 0 | Aaron Kessler, CNN; Olga Pierce, University of Nebraska-Lincoln; Andrew Tran, The Washington Post | 3 | 2 | Exploring the tidyverse in R *pre-registered attendees only |