{"database": "nicar", "table": "sessions", "rows": [[203, 4231, "Regular expressions for the rest of us", "Regular expressions are a powerful way to slice, dice and clean up dirty data \u2014 a must-know skill for anyone who works with data. They may look intimidating, but they are really just pattern-matching puzzles. We'll learn the fundamentals of \"regex\" so you save time cleaning your next batch of data. This session is good for: People who have ever done more than two search/replace actions to clean a data set or had to split a ZIP code from an address or otherwise want to conquer their fears of regex. ", 4, "2019-03-07", "2019-03-07 09:00:00", "2019-03-07 10:00:00", 0, 0, 0, "Christian McDonald, University of Texas ", 3, null, 2, "Regular expressions for the rest of us"]], "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": ["203"], "units": {}, "query_ms": 0.3554821014404297}