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better presentation

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  1. docs/gazette.md +8 -9
docs/gazette.md CHANGED
@@ -1,13 +1,6 @@
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  # Gazette
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- ```js echo
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- import { DuckDBClient } from "npm:@observablehq/duckdb";
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- const db = DuckDBClient.of({ presse: FileAttachment("data/presse.parquet") });
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- ```
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-
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- This page allows you to explore the 3 million newspapers by title. I called it “Gazette” because I was surprised that most of the corpus in the earlier years had a title containing this word.
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-
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- Type in words such as “jeune”, “révolution”, “république”, “matin”, “soir”, “humanité”, “nouvelle”, “moderne”, “femme”, “paysan”, “ouvrier”, “social”, “résistance” etc. to see different historical trends.
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  ```js
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  const search = view(
@@ -23,6 +16,7 @@ label: `Share of titles matching ${search}`,
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  tickFormat: "%",
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  },
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  marks: [
 
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  Plot.areaY(base, {
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  x: "year",
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  y: ({year, total}) => gazette.get(year) / total,
@@ -38,7 +32,7 @@ curve: "step"
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  })
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  }
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- The query uses a case-insensitive [REGEXP_MATCHES](https://duckdb.org/docs/archive/0.9.2/sql/functions/patternmatching) operator to count occurrences; you can query for example “socialis[tm]e” to match both “socialiste” and “socialisme”.
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  ```js echo
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  const results = db.query(
@@ -51,6 +45,11 @@ const results = db.query(
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  );
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  ```
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  ```js
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  // A Map for fast retrieval—precisely an InternMap, indexed by Date
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  const gazette = new d3.InternMap(results.map(({ year, c }) => [year, c]));
 
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  # Gazette
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+ Explore 3 million newspapers **by title**. Type in words such as “jeune”, “révolution”, “république”, “matin”, “soir”, “humanité”, “nouvelle”, “moderne”, “femme”, “paysan”, “ouvrier”, “social”, “résistance” etc. to see different historical trends.
 
 
 
 
 
 
 
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  ```js
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  const search = view(
 
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  tickFormat: "%",
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  },
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  marks: [
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+ Plot.ruleY([0, 0.01], {stroke: ["currentColor"]}),
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  Plot.areaY(base, {
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  x: "year",
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  y: ({year, total}) => gazette.get(year) / total,
 
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  })
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  }
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+ I called this page “Gazette” because I was surprised that most of the corpus in the earlier years had a title containing this word. The query uses a case-insensitive [REGEXP_MATCHES](https://duckdb.org/docs/archive/0.9.2/sql/functions/patternmatching) operator to count occurrences; you can query for example “socialis[tm]e” to match both “socialiste” and “socialisme”.
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  ```js echo
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  const results = db.query(
 
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  );
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  ```
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+ ```js
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+ import { DuckDBClient } from "npm:@observablehq/duckdb";
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+ const db = DuckDBClient.of({ presse: FileAttachment("data/presse.parquet") });
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+ ```
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+
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  ```js
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  // A Map for fast retrieval—precisely an InternMap, indexed by Date
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  const gazette = new d3.InternMap(results.map(({ year, c }) => [year, c]));