md`# 355 parks data`
d3 = require('d3@5')
VegaLite = require('vega-embed@5')
md`We are loading the gas prices here and the only 2 important fields are the year and the current gas prices so we decided to return them`
gasPrice = d3.csv("https://www.sfu.ca/~ridgez/ParkData/gas_price.txt", d => {
return {
year: d.year,
price: d.gas_current,
}
})
md`We are loading the relative income data here here and the only 2 important fields are the year and the annual income. Since a date format is given, we have decided to split the date and only retrieve the year.`
income = d3.csv("https://www.sfu.ca/~ridgez/ParkData/MEHOINUSA672N.txt", d => {
return {
year: d.DATE.split("/")[2],
income: +d["Income (2018 Adjusted Dollars)"]
}
})
md`We are loading the park data here and returning the year, state, region, type of park, the name of the park and the number of visitors.`
park = d3.csv("https://www.sfu.ca/~ridgez/ParkData/national_parks.txt", d => {
return {
year: d.year,
state: d.state,
region:d.region,
type: d.unit_type,
name:d.parkname,
visitors: d.visitors,
}
})
md`We are loading the population per state here and returning the year, the state, and the population.`
population = d3.csv("https://www.sfu.ca/~ridgez/ParkData/state_pop.txt", d => {
return {
year: d.year,
state: d.state,
pop: d.pop === "NA" ? 0 : d.pop,
}
})
md`We are loading inbound tourism data from the world to the united states and we are returning the year, country, and the population.`
tourismIn = d3.csv("https://www.sfu.ca/~ridgez/ParkData/TOURISM_INBOUND_09112019011654690.txt", d => {
if (d["VARIABLE"].includes("INB_")) return undefined;
return {
year: d.YEAR,
country: d.Variable,
population: d.Value,
}
})
md`Using the same data as the previous set, we are returning the type of accommodataions that the tourism are staying in.`
tourismAccommodation = d3.csv("https://www.sfu.ca/~ridgez/ParkData/TOURISM_INBOUND_09112019011654690.txt", d => {
if (!d["VARIABLE"].includes("INB_")) return undefined;
return {
year: d.YEAR,
accommodation: d.Variable,
population: d.Value,
}
})
VegaLite({
data: { values: tourismIn },
width: 1000,
height: 300,
mark: { type: "bar"},
encoding: {
x: {
field: "country",
type: "nominal",
},
y: {
field: "population", type: "quantitative",
},
}
})
VegaLite({
data: { values: tourismAccommodation },
width: 1000,
height: 300,
mark: { type: "bar"},
encoding: {
x: {
field: "accommodation",
type: "nominal",
},
y: {
field: "population", type: "quantitative",
},
}
})
VegaLite({
data: {values: gasPrice},
mark: "line",
encoding: {
x: {field: "year", type: "temporal", sort: {encoding: "x", order: "assending"}},
y: {field: "price", type: "quantitative"},
}
})
{
let numOfLayers = 20;
// let maxPop = d3.max(population.map(d => d.pop));
let maxPop = 40000000;
let perLayerRange = maxPop / numOfLayers;
let layers = [];
let templateLayer = {
width: 300,
height: 50,
mark: { type: "area", line: true, clip: true, orient: "vertical" },
transform: [
{
calculate: "datum.pop - 50",
as: "popShifted"
}
],
encoding: {
x: {
field: "year",
type: "temporal",
scale: {
zero: false,
nice: false
},
axis: {
ticks: false,
title: null,
}
},
y: {
field: "popShifted", type: "quantitative",
scale: { domain: [0, 1000000] }
},
opacity: { value: .1 }
}
};
for (let i = 0; i < numOfLayers; i++) {
let newLayer = JSON.parse(JSON.stringify(templateLayer));
newLayer.encoding.y.scale.domain[0] = 0;
newLayer.encoding.y.scale.domain[1] = perLayerRange;
newLayer.transform[0].calculate = "datum.pop - " + perLayerRange * i;
layers.push(newLayer);
}
return VegaLite({
data: { values: population },
facet: {
row: {
field: "state",
type: "nominal",
}
},
spec: {
layer: layers
}
})
}
VegaLite({
data: { values: population },
width: 300,
height: 300,
mark: { type: "circle"},
encoding: {
x: {
field: "year",
type: "temporal",
},
y: {
field: "pop", type: "quantitative",
},
}
})
VegaLite({
data: { values: income },
width: 300,
height: 300,
mark: { type: "line"},
encoding: {
x: {
field: "year",
type: "temporal",
},
y: {
field: "income", type: "quantitative",
},
}
})
md`Sources`
md`https://data.world/inform8n/us-national-parks-visitation-1904-2016-with-boundaries
https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-17
https://stats.oecd.org/Index.aspx?DataSetCode=TOURISM_INBOUND
https://fred.stlouisfed.org/series/MEHOINUSA672N
`
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