I wonder if there is a better way to solve the following issue and prevent the code from getting unreadable beacause of too many nested functions:
I am using d3.js and jquery slider to produce a map of europe which shows the unemploymentrate of each region. The slider is there to switch between the years from 2005 to 2015. On each slider change I want the europe.svg to be recolored.
So far I solved the issue as following:
var color = d3.scaleThreshold()
.domain([0, 1, 3, 5, 7, 10, 13, 16, 20, 25])
.range(["#006837", "#1a9850", "#66bd63", "#a6d96a", "#d9ef8b", "#fee08b", "#fdae61", "#f46d43", "#d73027", "#a50026", "#808080"]);
d3.queue()
.defer(d3.json, "data/json/euRegions.json")
.defer(d3.csv, "data/csv/euUnemploymentRates.csv")
.await(initializeEUmap);
function initializeEUmap(error, euRegionsJson, euUnemploymentcsv) {
if (error) throw error;
euRegionsJson.features.forEach(function(d) {
for (var i = 0; i <= 334; i += 1) {
if (d.properties.NUTS_ID == euUnemploymentcsv[i].Flag) {
for (var j = 2005; j <= 2015; j += 1) {
d.properties[j] = euUnemploymentcsv[i][j];
}
}
}
});
$('#slider').slider().bind('slidechange', function(event, ui) {
var sliderValue = $('#slider').slider("option", "value");
svgEurope.selectAll(".euMap").remove();
svgEurope.selectAll("path")
.data(euRegionsJson)
.enter().append("path")
.attr("cx", function(d, i) {return projection([d.longitude, d.latitude])[0];})
.attr("cy", function(d, i) {return projection([d.longitude, d.latitude])[1];})
.data(euRegionsJson.features)
.enter().append("path")
.attr("d", geoPath)
.attr("class", "euMap")
.attr("fill", function(d) {return color(d.properties[sliderValue]);})
.style("stroke", "black")
.style("stroke-width", "0.4px");
});
Is it actually the best practice to wrap everything inside the slidechange function? What would your approach be?
I would refactor the slidechange
callback into a function declaration, and unnest it. You also used some variables that aren't provided in your code, but just pass any variables you need into onSlideChange
.
var color = d3.scaleThreshold()
.domain([0, 1, 3, 5, 7, 10, 13, 16, 20, 25])
.range(["#006837", "#1a9850", "#66bd63", "#a6d96a", "#d9ef8b", "#fee08b", "#fdae61", "#f46d43", "#d73027", "#a50026", "#808080"]);
d3.queue()
.defer(d3.json, "data/json/euRegions.json")
.defer(d3.csv, "data/csv/euUnemploymentRates.csv")
.await(initializeEUmap);
function initializeEUmap(error, euRegionsJson, euUnemploymentcsv) {
if (error) throw error;
euRegionsJson.features.forEach(function(d) {
for (var i = 0; i <= 334; i += 1) {
if (d.properties.NUTS_ID == euUnemploymentcsv[i].Flag) {
for (var j = 2005; j <= 2015; j += 1) {
d.properties[j] = euUnemploymentcsv[i][j];
}
}
}
});
$('#slider').slider().bind('slidechange', e => onSlideChange(e,euRegionsJson));
}
function onSlideChange(event, euRegionsJson) {
var sliderValue = $('#slider').slider("option", "value");
svgEurope.selectAll(".euMap").remove();
svgEurope.selectAll("path")
.data(euRegionsJson)
.enter().append("path")
.attr("cx", function(d, i) {return projection([d.longitude, d.latitude])[0];})
.attr("cy", function(d, i) {return projection([d.longitude, d.latitude])[1];})
.data(euRegionsJson.features)
.enter().append("path")
.attr("d", geoPath)
.attr("class", "euMap")
.attr("fill", function(d) {return color(d.properties[sliderValue]);})
.style("stroke", "black")
.style("stroke-width", "0.4px");
}