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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 101 | 4167 | How and why to make your data analysis reproducible | You understand how you processed your data. Does your editor? Your reader? You, in six months? Without a replicable approach to extracting, transforming and loading data, we are often frustrated in our efforts to share or update our work. Join us for a panel discussion of reproducible data workflows. We’ll talk about why we use standardized processes for collecting, cleaning and analyzing data, and share practices that work for us. We’ll also discuss strategies for smart human intervention (i.e. reporting, logging and documentation) in automated workflows. | 10 | 2019-03-07 | 2019-03-07 09:00:00 | 2019-03-07 10:00:00 | 0 | 0 | 0 | Ryann Grochowski Jones, ProPublica ; Jeremy Singer-Vine, Buzzfeed News (moderator); Andrew Tran, Washington Post; Hannah Cushman, DataMade | 1 | 1 | How and why to make your data analysis reproducible |