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script.ts
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script.ts
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import vegaEmbed, { VisualizationSpec } from "vega-embed";
import { ARC, BAR } from 'vega-lite/build/src/mark';
// Read the dataset of your billionaires
const dataString: string = await (await fetch('data/billionaires.json')).text();
const billionairesDataset: Billionaire[] = JSON.parse(dataString);
// Interface to describe the dataset, and set that interface as the type of this dataset array.
interface Billionaire {
"name": string,
"rank": number,
"year": number,
"company": {
"founded": number,
"name": string,
"relationship": string,
"sector": string,
"type": string,
},
"demographics": {
"age": number,
"gender": string,
},
"location": {
"citizenship": string,
"country code": string,
"gdp": number,
"region": string
},
"wealth": {
"type": string,
"worth in billions": number,
"how": {
"category": string,
"from emerging": boolean,
"industry": string,
"inherited": string,
"was founder": boolean,
"was political": boolean
}
}
};
// Billionaries by gender
interface BillionairesByGender {
"Year": number,
"Gender": string,
"Billionaires": number
}
// Getting Data from form
const submitBtn = document.querySelector(".submit-btn");
submitBtn.addEventListener('click', () => {
const countryFromForm: string = (<HTMLInputElement>document.getElementById("country")).value;
const graphType: string = (<HTMLInputElement>document.getElementById("typeOfGraph")).value;
let newGraph: VisualizationSpec;
newGraph = getNewGraph(countryFromForm, graphType);
vegaEmbed('#graph', newGraph);
})
function getNewGraph(Country: string, GraphType: string): VisualizationSpec {
const copy: VisualizationSpec = JSON.parse(JSON.stringify(baseChart));
copy['title'] = `Billionaires by ${GraphType} (${Country})`;
if (GraphType === "Self Made") {
const newData: BillionairesSelfMade[] = createSelfMadeData(Country, billionairesDataset);
copy['data']['values'] = newData;
} else if (GraphType === "Sector") {
const newData: BillionairesBySector[] = getBillionairesBySector(Country, billionairesDataset);
copy['data'] = {
values: newData
}
copy['mark']['type'] = ARC;
copy['encoding']['x'] = "";
copy['encoding'] = {
theta: {
field: 'Billionaires',
type: 'quantitative',
title: 'Number of billionaires'
}
};
copy['encoding']['y'] = '';
copy['encoding']['color'] = {
field: 'Sector',
type: 'nominal'
}
} else if (GraphType === "Gender") {
const newData: BillionairesByGender[] = createGenderData(Country, billionairesDataset);
copy['data']['values'] = newData;
copy['encoding']['color'] = {
field: 'Gender',
type: 'nominal'
}
}
return copy;
}
// Base Chart
interface SelfMadeAndYear {
year: number,
selfMade: boolean
}
const selfMadeAndYear: SelfMadeAndYear[] = [
{
year: 1996,
selfMade: true
},
{
year: 1996,
selfMade: false
},
{
year: 2001,
selfMade: true
},
{
year: 2001,
selfMade: false
},
{
year: 2014,
selfMade: true
},
{
year: 2014,
selfMade: false
}
]
const selfMadeBaseData: BillionairesSelfMade[] = createSelfMadeData("Global", billionairesDataset);
const baseChart: VisualizationSpec = {
title: "Billionaires by self made (Global)",
data: {
values: selfMadeBaseData
},
mark: {
type: BAR
},
encoding: {
x: {
field: 'Year',
type: 'nominal'
},
y: {
field: 'Billionaires',
type: 'quantitative',
title: 'Number of billionaires'
},
color: {
field: 'SelfMade',
type: 'nominal'
}
}
}
vegaEmbed("#graph", baseChart);
// Self-made
interface BillionairesSelfMade {
"Year": number,
"SelfMade": boolean,
"Billionaires": number
}
function getBillionairesSelfMade(GivenYear: number, selfMade: boolean, billionaires: Billionaire[], Country: string): number {
let totalBillionaires: number = 0;
if (Country !== "Global") {
if (selfMade == true) {
const selfMadeArray: Billionaire[] = billionaires.filter(c => (c['year'] === GivenYear && c['wealth']['how']['inherited'] === "not inherited" && c['location']['citizenship'] === Country));
totalBillionaires = selfMadeArray.length;
} else {
const selfMadeArray: Billionaire[] = billionaires.filter(c => (c['year'] === GivenYear && c['wealth']['how']['inherited'] !== "not inherited" && c['location']['citizenship'] === Country));
totalBillionaires = selfMadeArray.length;
}
return totalBillionaires;
} else {
if (selfMade == true) {
const selfMadeArray: Billionaire[] = billionaires.filter(c => (c['year'] === GivenYear && c['wealth']['how']['inherited'] === "not inherited"));
totalBillionaires = selfMadeArray.length;
}
else {
const selfMadeArray: Billionaire[] = billionaires.filter(c => (c['year'] === GivenYear && c['wealth']['how']['inherited'] !== "not inherited"));
totalBillionaires = selfMadeArray.length;
}
return totalBillionaires;
}
}
function createSelfMadeData(Country: string, BillionariesDataSetCopy: Billionaire[]): BillionairesSelfMade[] {
BillionariesDataSetCopy.slice();
let billionairesBySelfMade: BillionairesSelfMade[] = [];
for (const current of selfMadeAndYear) {
const numberOfBillionaires: number = getBillionairesSelfMade(current['year'], current['selfMade'], BillionariesDataSetCopy, Country);
const billionaireBySelfMade: BillionairesSelfMade = { Year: current['year'], SelfMade: current['selfMade'], Billionaires: numberOfBillionaires };
billionairesBySelfMade.push(billionaireBySelfMade);
}
return billionairesBySelfMade;
}
// By Sector
interface BillionairesBySector {
"Sector": string,
"Billionaires": number
}
function getBillionairesBySector(Country: string, billionaires: Billionaire[]): BillionairesBySector[] {
const billionairesBySector: BillionairesBySector[] = [];
if (Country !== "Global") {
billionaires = billionaires.filter(c => (c['location']['citizenship'] === Country));
}
const sector: string[] = billionaires.map(c => (c["wealth"]["how"]["industry"].toLowerCase().trim()));
sector.forEach(sector => {
// Check if sector is a part of the list
// Check for better solution
const currentSectors: string[] = billionairesBySector.map(c => c['Sector']);
let found: number = -1;
for (let i = 0; i < currentSectors.length; i++) {
if (sector == currentSectors[i]) {
found = i;
}
}
if (found == -1) {
const newSector: BillionairesBySector = { "Sector": sector, "Billionaires": 1 };
billionairesBySector.push(newSector);
}
else {
billionairesBySector[found]['Billionaires'] += 1;
}
})
return billionairesBySector;
}
// By Gender
interface BillionairesByGender {
"Year": number,
"Gender": string,
"Billionaires": number
}
function getBillionairesByGender(GivenYear: number, GivenGender: string, billionaires: Billionaire[], Country: string): number {
if (Country == "Global") {
const genderArray: Billionaire[] = billionaires.filter(c => (c['year'] === GivenYear && c['demographics']['gender'] === GivenGender));
const totalBillionaires: number = genderArray.length;
return totalBillionaires;
}
else {
const genderArray: Billionaire[] = billionaires.filter(c => (c['year'] === GivenYear && c['demographics']['gender'] === GivenGender && c["location"]["citizenship"]) == Country);
const totalBillionaires: number = genderArray.length;
return totalBillionaires;
}
}
interface GenderAndYear {
year: number,
gender: string
}
const genderAndYears: GenderAndYear[] = [
{
year: 1996,
gender: 'male'
},
{
year: 1996,
gender: 'female'
},
{
year: 2001,
gender: 'male'
},
{
year: 2001,
gender: 'female'
},
{
year: 2014,
gender: 'male'
},
{
year: 2014,
gender: 'female'
}
];
function createGenderData(Country: string, BillionariesDataSetCopy: Billionaire[]): BillionairesByGender[] {
const billionairesByGender: BillionairesByGender[] = [];
for (const current of genderAndYears) {
const numberOfBillionaires: number = getBillionairesByGender(current['year'], current['gender'], BillionariesDataSetCopy, Country);
const billionaireByGender: BillionairesByGender = { Year: current['year'], Gender: current['gender'], Billionaires: numberOfBillionaires };
billionairesByGender.push(billionaireByGender);
}
return billionairesByGender;
}
// By Country
// Read the dataset for country codes
const dataString2: string = await (await fetch('data/countryCodes.json')).text();
const countryCodesDataSet: Country[] = JSON.parse(dataString2);
// Interface to describe the country code dataset
interface Country {
"id": number,
"country": string,
"my19": number,
"gdppc": number,
"billionaires": number,
"mypct": number
}
for (const current of countryCodesDataSet) {
delete current.my19;
delete current.mypct;
}
function findCountryID(Country: string): number {
for (const current of countryCodesDataSet) {
if (Country == current['country']) {
return current['id'];
}
}
}
// Billionaries by country
interface BillionairesByCountry {
"Country": string,
"Billionaires": number,
"id": number
}
var billionairesByCountry: BillionairesByCountry[] = [];
function getBillionairesByCountry(billionaires: Billionaire[]) {
const countries: string[] = billionaires.map(c => (c["location"]["citizenship"]));
countries.forEach((country) => {
// Check if country is a part of the list
// Check for better solution
const currentcountries: string[] = billionairesByCountry.map(c => c['Country']);
let found: number = -1;
for (let i = 0; i < currentcountries.length; i++) {
if (country == currentcountries[i]) {
found = i;
}
}
if (found == -1) {
const countryId: number = findCountryID(country);
const newCountry: BillionairesByCountry = { "Country": country, "Billionaires": 1, "id": countryId };
billionairesByCountry.push(newCountry);
}
else {
billionairesByCountry[found]['Billionaires'] += 1;
}
})
}
getBillionairesByCountry(billionairesDataset);
console.log(billionairesByCountry);
const billionariesMap: VisualizationSpec = {
"width": 500,
"height": 300,
"title": "Billionaires By Country",
"projection": {type: "equalEarth"},
"data": {
"values": billionairesByCountry,
},
"transform": [
{
"lookup": "id",
"from": {
"data": {
"url": "https://raw.githubusercontent.com/vega/datalib/master/test/data/world-110m.json",
"format": {
"type": "topojson",
"feature": "countries"
}
},
"key": "id",
},
"as": "geo"
}
],
"mark": {
"type": "geoshape"
},
"encoding": {
"shape": {"field": "geo", "type": "geojson"},
"color": {"field": "Billionaires", "type": "quantitative"}
},
}
vegaEmbed('#billionariesMap', billionariesMap);
// GDP per capita 2019
const gdpMap: VisualizationSpec = {
"width": 500,
"height": 300,
"title": "GDP per capita for 2019",
"projection": {type: "equalEarth"},
"data": {
"values": countryCodesDataSet,
},
"transform": [
{
"lookup": "id",
"from": {
"data": {
"url": "https://raw.githubusercontent.com/vega/datalib/master/test/data/world-110m.json",
"format": {
"type": "topojson",
"feature": "countries"
}
},
"key": "id",
},
"as": "geo"
}
],
"mark": {
"type": "geoshape"
},
"encoding": {
"shape": {"field": "geo", "type": "geojson"},
"color": {"field": "gdppc", "type": "quantitative"}
},
}
vegaEmbed('#gdpMap', gdpMap);