The avatar for @clokman
John C. Lokman
Public
Data Visualization Hall of Fame
Edited
May 17, 2024
2
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data_processed = aq.from(data_raw)
.join_left(aq.from(country_metadata), ["Country Code", "Code"])
.derive({'Year': aq.escape(d => d3.format(".0f")(d.Time))})
.rename({'GDP per capita (constant 2015 US$) [NY.GDP.PCAP.KD]':'GDP_per_capita'
,'Birth rate, crude (per 1,000 people) [SP.DYN.CBRT.IN]': 'Birth_rate'
,'Death rate, crude (per 1,000 people) [SP.DYN.CDRT.IN]': 'Death_rate'
,'Population ages 65 and above (% of total population) [SP.POP.65UP.TO.ZS]': 'Pop%_65+'
})
.select('Year'
,'Country Name'
,'GDP_per_capita'
,'Birth_rate'
,'Death_rate'
,'Pop%_65+'
,'Income Group'
)
.objects()
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data_processed_cleanedIncomeGroup = aq.from(data_processed)
.filter(d=> d["Income Group"] != null & d["Income Group"] != "")
.objects()
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Inputs.table(data_processed_cleanedIncomeGroup)
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data_processed_cleanedIncomeGroup_forChosenYear
= data_processed_cleanedIncomeGroup.filter(d => d.Year == Year_chosen)
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import {Wrangler, op} from "@observablehq/data-wrangler"
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import {Plot} from "@mkfreeman/plot-tooltip"
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import {howTo} from "@clokman/howto"
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import {toc} from "@nebrius/indented-toc"
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import {BubbleChart} from "@d3/bubble-chart"
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import {Swatches} from "@d3/color-legend"
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import {displayCaution} from "@mkfreeman/utilities"
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