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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 185 | 4286 | Python 3: Data cleaning and visualization (repeat) | Now that you’ve got a handle on pandas, it’s time to jump into some advanced topics. You know how to import a dataset, but what happens when you load the data and nothing looks right? We’ll walk through cleaning up a dirty dataset with pandas. Then we’ll jump into the fun part: visualizing the data you’ve analyzed with matplotlib. This session is good for: People who can load and perform basic summary and grouping functions in pandas. | 13 | 2019-03-10 | 2019-03-10 11:30:00 | 2019-03-10 12:30:00 | 0 | 0 | 0 | Jacob Sanders, Factal | 3 | Python 3: Data cleaning and visualization (repeat) |