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Chart what's in the library — topics, sources, saves over time — and say what the shape means.

AI & Automation 332 stars 52 forks Updated 3 days ago MIT

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Skill Content

# Overview of a saved library A chart on its own is decoration. Every chart here answers a question the user would otherwise have to ask, and you say the answer in words next to it. ## Get the data From the **Bookmarks** table via `query_table`. You need the whole table, not a page — read `total` from the first call and page with `offset` until you have it. Counting 100 of 4,000 saves and calling it a distribution is worse than not charting at all. Columns you'll use: `Saved` (ISO date), `Topics` (array), `Site`, `Type`, `Status`. ## The four that earn their place 1. **Saves over time** — by week or month. Answers "am I still using this?" and shows bursts, which usually map to a project. 2. **Topics by volume** — horizontal bars, biggest first. Answers "what am I actually collecting?" Cap at the top 12 and group the tail as "other"; a bar chart with 60 labels communicates nothing. 3. **Sources** — top domains. Answers "where does my reading come from?" Often uncomfortable and therefore useful. 4. **Topic over time** — the top few topics as lines. Answers "what am I moving toward, and what have I dropped?" Skip any chart the data can't support. Fewer than ~20 saves, or fewer than three distinct topics, means the honest output is a sentence, not a chart. ## Say what it means Under each chart, one or two sentences of what it shows — the actual reading, not a caption. "Two thirds of your saves are from three domains" is worth writing. "This chart shows sav...

Details

Author
Fergana-Labs
Repository
Fergana-Labs/stash
Created
7 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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