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Edited
Dec 22, 2023
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dataset = FileAttachment("dataset.csv").csv()
dataset.csv
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hale = filter.map(d => ({name: rename.get(d.Страна) || d.Страна, Курс_2023: +d[2023]}))
filter = bd.filter((d)=> (d["Индикатор"] == "Real Effective Exchange Rate,,,,") && ( d["2023"] != ".."))
countrymesh = topojson.mesh(world, world.objects.countries, (a, b) => a !== b)
countries = topojson.feature(world, world.objects.countries)
world = FileAttachment("countries-50m.json").json()
years = ["2017", "2018", "2019", "2020", "2021", "2022", "2023"]
russia_export = bd.filter((d)=> (d["Страна"] == "Russian Federation") && (d["Индикатор"] == "Exports Merchandise, Customs, current US$, millions, seas. adj."))
countries_export = bd.filter((d)=> (d["Страна"] == select1) && (d["Индикатор"] == "Exports Merchandise, Customs, current US$, millions, seas. adj."))
russia_export1 = transpose(russia_export).slice(0,7)
countries_export1 = transpose(countries_export).slice(0,7)
russia_import = bd.filter((d)=> (d["Страна"] == "Russian Federation") && (d["Индикатор"] == "Imports Merchandise, Customs, current US$, millions, seas. adj."))
countries_import = bd.filter((d)=> (d["Страна"] == select1) && (d["Индикатор"] == "Imports Merchandise, Customs, current US$, millions, seas. adj."))
russia_import1 = transpose(russia_import).slice(0,7)
countries_import1 = transpose(countries_import).slice(0,7)
russia_stock_market = bd.filter((d)=> (d["Страна"] == "Russian Federation") && (d["Индикатор"] == "Stock Markets, US$,,,") )
usa_stock_market = bd.filter((d)=> (d["Страна"] == "United States") && (d["Индикатор"] == "Stock Markets, US$,,,") )
russia_stock_market1 = transpose(russia_stock_market).slice(0,7)
usa_stock_market1 = transpose(usa_stock_market).slice(0,7)
russia_exchange_rate = bd.filter((d)=> (d["Страна"] == "Russian Federation") && (d["Индикатор"] == "Real Effective Exchange Rate,,,,") )
russia_exchange_rate1 = transpose(russia_exchange_rate).slice(0,7)
countries_all = new Set(bd.map(d => d['Страна']).sort())
tr_russia = total_reserves.filter((d)=> d["Country"] == "Russian Federation")
tr_select = total_reserves.filter( (x)=> String(x["Country"])==select)
tr_values_select = transpose(tr_select).slice(4,28)
tr_years = transpose2(tr_russia).slice(4,28)
total_reserves = FileAttachment("totalReserves_all_countries.csv").csv()
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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.
