2f:T6f7,

Data Maketh (Hu)man

Is our data really an accurate representation of ourselves? Enough to determine if we are trustworthy enough to own a credit card?

· Clustered based on a combination of the individual's ethnicity and whether they were approved.
· Sized based on the amount of debt the individual has.
· Colored based on what industry the individual works in.

30:T73b,{ 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]["PriorDefault"] == "0") { // data[i]["PriorDefault"] = "NoPriorDefault" // } else { // data[i]["PriorDefault"] = "YesPriorDefault" // } if (data[i]["Employed"] == "0") { data[i]["Employed"] = "Unemployed" } else { data[i]["Employed"] = "Employed" } if (data[i]["Industry"] == "Real Estate") { data[i]["Industry"] = "RealEstate" } } }31:[{"id":"3f86597c798cc33ccda7f50d5fbb6b4339ad7fb16cfe4cfc0d5fe8eff47c7a948cfe63196c342ff4a2b7eb5f49bc0923d7773a2b85e1a92fe02bfcc1626405b1","href":"https://static.observableusercontent.com/files/3f86597c798cc33ccda7f50d5fbb6b4339ad7fb16cfe4cfc0d5fe8eff47c7a948cfe63196c342ff4a2b7eb5f49bc0923d7773a2b85e1a92fe02bfcc1626405b1","name":"credit_card_approvals_dataset.csv","type":"text/csv","lastModified":1683529441918.849,"size":45288}] 2d:{"title":"Final Project (Static Visual)","cells":[{"id":0,"value":"# Final Project (Static Visual)\n- Clustered based on a combination of the individual's ethnicity and whether they were approved.\n- Sized based on the amount of debt the individual has.\n- Colored based on what industry the individual works in.","pinned":false,"hidden":false,"mode":"md"},{"id":29,"value":"$2f","pinned":true,"hidden":false,"mode":"html"},{"id":22,"value":"data = FileAttachment(\"credit_card_approvals_dataset.csv\").csv()","pinned":true,"hidden":false,"mode":"ojs"},{"id":380,"value":"$30","pinned":true,"hidden":false,"mode":"ojs"},{"id":116,"value":"fociFeatures = ({\n \"white_approved\":{x: 200, y: 200},\"white_rejected\":{x: 450, y: 200},\"black_approved\":{x: 700, y: 200},\"black_rejected\":{x: 950, y: 200},\n \"asian_approved\":{x: 200, y: 450},\"asian_rejected\":{x: 450, y: 450},\"latino_approved\":{x: 700, y: 450},\"latino_rejected\":{x: 950, y: 450},\n \"other_approved\":{x: 200, y: 700},\"other_rejected\":{x: 450, y: 700}\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":35,"value":"clElem = d3.select(svgContainer).select(\"#layer1\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":113,"value":"options = ({\n \"startFoci\": fociFeatures,\n \"fociField\": \"Approved_Ethnicity\",\n \"classField\": \"Industry\",\t\t// to set their class/color\n \"dotScaleFactor\": 5,\n \"strength\": -1,\n \"alphaTarget\": 0.09,\n \"collisionFactor\": 1.5\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":59,"value":"clusters = dvCluster(clElem,data,800,800,\"Debt\",options)","pinned":true,"hidden":false,"mode":"ojs"},{"id":375,"value":"labelLayer = clElem.append(\"g\").attr(\"id\",\"labels\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":400,"value":"dvClusterFociLabels(labelLayer,fociFeatures,{offsetY:155})","pinned":true,"hidden":false,"mode":"ojs"},{"id":82,"value":"-----","pinned":false,"hidden":false,"mode":"md"},{"id":267,"value":"import {dvCluster, dvClusterFociLabels} from \"@emfielduva/dvlib_layout\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W31","stdlib":"1","titling":"auto"}