Public
Edited
Dec 5, 2022
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abd_graph2_data = FileAttachment("Tech Use Data.csv").csv({typed: true})
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tech_use_scatterplot = Scatterplot(abd_graph2_data, {
x: d => d.Use2,
y: d => d.Diff,
title: d => d.Country,
xLabel: "Index in computer usage",
yLabel: "Difference in average test score",
stroke: "steelblue",
width,
height: 600
})
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abd_graph1_data = FileAttachment("Share-primary-school-age-out-of-school@1.csv").csv();
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abd_graph1_data_filtered2 = abd_graph1_data.filter(row => {
const countries = ["TCD", "ETH", "GTM", "GIN", "HND", "JAM", "USA", "GBR"];
return countries.includes(row.Code);
});
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abd_graph1_data_filtered = abd_graph1_data_filtered2.map(row => {
row.Year = Date.parse(row.Year)
return row;
})
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chart = LineChart(abd_graph1_data_filtered, {
x: d => d.Year,
y: d => d.COOS,
z: d => d.Entity,
yLabel: "% of primary school age",
xLabel: "Year",
width,
height: 500,
color: "steelblue"
})
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Purpose-built for displays of data

Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
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