{"database": "nicar", "table": "sessions", "rows": [[81, 4338, "Finding your data story: Visual analytics best practices using Tableau (Hosted by Tableau)", "Skill level: Some experience working with data would be ideal. Participants will get a crash-course in the fundamentals of Tableau, working with a slightly more complex dataset than we did in the introduction course. We will discuss how the data is shaped and will use Tableau to find an interesting story in the data, before turning it into a publishable visualization. Depending on the time available and the appetite of participants, we can also dive deeper into maps, simple statistical tools, or design best practices. Software, data files and laptops are provided for the duration of the class. The session is designed to follow the session \u201cAn introduction to Data Visualization with Tableau\u201d but can also be taken on its own. 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 10:15:00", "2019-03-07 11:15:00", 0, 0, 0, "Florian Ramseger & Jonni Walker, Tableau Software", 3, null, 4, "Finding your data story: Visual analytics best practices using Tableau (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": ["81"], "units": {}, "query_ms": 0.43654441833496094}