Data Drop is a publication from Sheets.works that builds long-form data stories around public code repositories and datasets. Instead of starting from a thesis and finding numbers to fit, the team counts things directly from source files and then writes the narrative around what the count reveals. The result sits somewhere between journalism and data analysis, aimed at readers who want evidence rather than assertion.
The story shown here examines the time zone database, the single text file that supplies local-time rules to Android, iOS and most internet servers. It profiles Paul Eggert, a UCLA lecturer who has coordinated the file since 2012, and tallies the people who actually write and review the code. Charts and figures are derived from the repository itself, so the claims can be traced back to commits and version numbers.
Each story ships in two forms: an animated original with pinned charts and scrolling effects, and a plain version with the same words and charts but no motion. The plain edition is useful for reading on low-bandwidth connections, for printing, or for anyone who finds scroll-driven graphics distracting. Both versions carry the same reporting.
Readers who want to understand the hidden labor behind widely used software will get the most from this site. Start with the plain version if you plan to quote or skim, and switch to the original when you want the visual pacing. The overall effect is a reminder that critical digital infrastructure often rests on
评论与评分
0还没有评论，来写下第一条评价吧。