{"database": "nicar", "table": "sessions", "rows": [[89, 4365, "From messy data to insightful story: Cleaning data using Tableau (repeat, hosted by Tableau)", "Skill level: Some experience working with data and is necessary; knowledge of Tableau Desktop/Tableau Public would be ideal. Participants will get a crash-course in the fundamentals of Tableau Prep. We will work with a couple of messy real-world data sets. We will clean, shape, and merge our data in Tableau Prep with the aim of analyzing it in Tableau Desktop and finally publishing an interactive chart with Tableau Public. Software, data files and laptops are provided for the duration of the class. The session is designed to follow the sessions \u201cAn introduction to Data Visualization with Tableau\u201d and \u201cFinding your data story: Visual analytics best practices using Tableau\u201d but can also be taken on its own by participants who have some experience in working with data. Participants are expected to create a free account on Tableau Public before or at the beginning of the session. ", 8, "2019-03-07", "2019-03-07 16:45:00", "2019-03-07 17:45:00", 0, 0, 0, "Florian Ramseger & Jonni Walker, Tableau Software", 3, null, null, "From messy data to insightful story: Cleaning data using Tableau (repeat, hosted by Tableau)"]], "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": ["89"], "units": {}, "query_ms": 0.4558563232421875}