data = FileAttachment("credit_card_approvals_dataset.csv").csv()
{
for (let i = 0; i < data.length; i++) {
if (data[i]["Approved"] == "1" && data[i]["Ethnicity"] == "White") {
data[i]["Approved_Ethnicity"] = "white_approved"
}
else if (data[i]["Approved"] == "0" && data[i]["Ethnicity"] == "White") {
data[i]["Approved_Ethnicity"] = "white_rejected"
}
else if (data[i]["Approved"] == "1" && data[i]["Ethnicity"] == "Black") {
data[i]["Approved_Ethnicity"] = "black_approved"
}
else if (data[i]["Approved"] == "0" && data[i]["Ethnicity"] == "Black") {
data[i]["Approved_Ethnicity"] = "black_rejected"
}
else if (data[i]["Approved"] == "1" && data[i]["Ethnicity"] == "Asian") {
data[i]["Approved_Ethnicity"] = "asian_approved"
}
else if (data[i]["Approved"] == "0" && data[i]["Ethnicity"] == "Asian") {
data[i]["Approved_Ethnicity"] = "asian_rejected"
}
else if (data[i]["Approved"] == "1" && data[i]["Ethnicity"] == "Latino") {
data[i]["Approved_Ethnicity"] = "latino_approved"
}
else if (data[i]["Approved"] == "0" && data[i]["Ethnicity"] == "Latino") {
data[i]["Approved_Ethnicity"] = "latino_rejected"
}
else if (data[i]["Approved"] == "1" && data[i]["Ethnicity"] == "Other") {
data[i]["Approved_Ethnicity"] = "other_approved"
}
else if (data[i]["Approved"] == "0" && data[i]["Ethnicity"] == "Other") {
data[i]["Approved_Ethnicity"] = "other_rejected"
}
if (data[i]["Gender"] == "0") {
data[i]["Gender"] = "Female"
} else {
data[i]["Gender"] = "Male"
}
if (data[i]["Married"] == "0") {
data[i]["Married"] = "NotMarried"
} else {
data[i]["Married"] = "Married"
}
if (data[i]["Gender"] == "Female" && data[i]["Married"] == "NotMarried") {
data[i]["Gender_Married"] = "Female_NotMarried";
}
else if (data[i]["Gender"] == "Female" && data[i]["Married"] == "Married") {
data[i]["Gender_Married"] = "Female_Married";
}
else if (data[i]["Gender"] == "Male" && data[i]["Married"] == "NotMarried") {
data[i]["Gender_Married"] = "Male_NotMarried";
}
else if (data[i]["Gender"] == "Male" && data[i]["Married"] == "Married") {
data[i]["Gender_Married"] = "Male_Married";
}
}
}
fociFeatures = ({
"white_approved":{x: 200, y: 200},"white_rejected":{x: 410, y: 200},"black_approved":{x: 610, y: 200},"black_rejected":{x: 810, y: 200},
"asian_approved":{x: 200, y: 410},"asian_rejected":{x: 410, y: 410},"latino_approved":{x: 610, y: 410},"latino_rejected":{x: 810, y: 410},
"other_approved":{x: 200, y: 600},"other_rejected":{x: 410, y: 600}
})
clElem = d3.select(svgContainer).select("#layer1")
options = ({
"startFoci": fociFeatures,
"fociField": "Approved_Ethnicity",
"classField": "Gender_Married", // to set their class/color
"dotScaleFactor": 2,
"strength": -1,
"alphaTarget": 0.09,
"collisionFactor": 1.3
})
clusters = dvCluster(clElem,data,800,800,"Age",options)
labelLayer = clElem.append("g").attr("id","labels")
dvClusterFociLabels(labelLayer,fociFeatures,{offsetY:135})
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