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Bill Shander
Information design & data visualization practitioner. Teaching private workshops and on LinkedIn Learning and at the University of Vermont.
Public
LinkedIn Learning Intro to Observable Course
Edited
Nov 1, 2023
Fork of Data tables
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happiness_data.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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happiness_data.csv
SELECT "Country Code", "Country", "Region", "Ladder score", "Logged GDP per capita", "Social support", "Healthy life expectancy", "Freedom to make life choices", "Generosity", "Perceptions of corruption", "Ladder score in Dystopia" FROM "happiness_data" WHERE "Ladder score" < 6 AND "Region" = 'Western Europe'
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urbanization.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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urbanization
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viewof table = Inputs.table(happiness_data, { columns: ["Country", "Region"] })
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table
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table.filter((d) => d.Region == "South Asia")
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duckdata
select h.*, u.* from happiness as h join urbanization as u on h.CountryCode = u['Country Code'] where "urbanization" <= 20
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duckdata = DuckDBClient.of({ happiness: happiness_data, urbanization: urbanization })
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