talks
Data source:
https://csvconf.com/
0 rows
where abstract = "Journalists don%E2%80%99t write for other journalists%E2%80%94they write for the curious and community-minded public. In the same way%2C statistical journalism should not be a black box of visualizations and narrative meant only for data makers like us. Crafting data-driven stories for a general audience means giving readers an opportunity to interact with a fun and practical use case while explaining the interpretative thinking that lies under the hood of statistical methods. I am an undergraduate at Cal Poly that writes and builds interactive%2C data-driven publishings with a team of students. I%27ll walk you through how we ideate fascinating questions%2C make methods explainable%2C and use Jupyter Notebooks to share reproducible code." and day = "May 9 2019" sorted by speaker descending
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CREATE TABLE [talks] (
[title] TEXT,
[speaker] TEXT,
[time] TEXT,
[day] TEXT,
[room] TEXT,
[url] TEXT,
[datetime] TEXT,
[abstract] TEXT,
[image] TEXT
)