{"database": "nicar", "table": "sessions", "rows": [[185, 4286, "Python 3: Data cleaning and visualization (repeat)", "Now that you\u2019ve got a handle on pandas, it\u2019s 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\u2019ll walk through cleaning up a dirty dataset with pandas. Then we\u2019ll jump into the fun part: visualizing the data you\u2019ve 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, null, null, "Python 3: Data cleaning and visualization (repeat)"]], "columns": ["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"], "primary_keys": ["rowid"], "primary_key_values": ["185"], "units": {}, "query_ms": 0.4277229309082031}