Presentation Open Access

Crafting Data-Driven Stories for the Everyday Reader

Marisa Aquilina

Journalists don’t write for other journalists—they write for the curious and community-minded public. In the same way, 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, data-driven publishings with a team of students. I'll walk you through how we ideate fascinating questions, make methods explainable, and use Jupyter Notebooks to share reproducible code.

Files (1.4 MB)
Name Size
csv,conf,4 (1).pdf
md5:46ec6664aeb626891bbdef0723761ba2
1.4 MB Download
14
10
views
downloads
All versions This version
Views 1414
Downloads 1010
Data volume 14.5 MB14.5 MB
Unique views 1414
Unique downloads 1010

Share

Cite as