Joe Rogan Podcast guests / Veli

Published

Edited

Jun 2, 2020

2 stars

md`# Joe Rogan Podcast guests

A visualization showing how Joe Rogan expanded from comedians and athletes (fighters), initially, to more diverse guest lineup. I used a combination of Google's Knowledge Graph scripting and manual work to categorize the guests. Data is aggregated by quarters.`

chart = {

var data = d3.csvParse(await FileAttachment("jrePodcastsClassified-2@1.csv").text(), parseData)

for(var i=0; i<data.length; i++) {

var episode = data[i];

var month = episode.date.getMonth() + 1;

var quartal = Math.ceil(month/3);

var monthMap = {

1: 0,

2: 3,

3: 6,

4: 9

}

episode.date = new Date(episode.date.setMonth(monthMap[quartal]));

}

var totals = d3.group(data, d=>d.category)

applyTag(data, 'googled');

applyTag(data, 'description');

applyTag(data, 'guest');

applyByGuest(data);

var color = d3.scaleOrdinal()

.domain(data.columns.slice(1))

.range(d3.schemeCategory10)

var monthlyData = d3.groups(data, d => +d.date)

var categoriesIterator = d3.group(data, d=>d.category).keys();

var template = new Object();

var category = categoriesIterator.next();

while (!category.done) {

template[category.value] = 0;

category = categoriesIterator.next();

}

var cookedData = new Array();

for(var i=monthlyData.length-1; i>=0; i--) {

var categories = JSON.parse(JSON.stringify(template));

var date = new Date(monthlyData[i][0]);

categories.date = date;

var episodes = monthlyData[i][1];

for(var episodeIndex=0; episodeIndex < episodes.length; episodeIndex++) {

var episode = episodes[episodeIndex];

if(categories[episode.category] != null) categories[episode.category]++;

}

cookedData.push(categories);

}

var series = d3.stack()

.keys(Object.getOwnPropertyNames(template))

.offset(d3.stackOffsetExpand)

.order(d3.stackOrderDescending)

(cookedData)

const area = d3.area()

.curve(d3.curveBasis)

.x(d => x(d.data.date))

.y0(d => y(d[0]))

.y1(d => y(d[1]));

const yAxis = g => g

.attr("transform", `translate(${margin.left},0)`)

.call(d3.axisLeft(y).ticks(10, "%"))

.call(g => g.select(".domain").remove());

const xAxis = g => g

.attr("transform", `translate(0,${height - margin.bottom})`)

.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0));

const svg = d3.create("svg")

.attr("viewBox", [0, 0, width, height]);

const x = d3.scaleTime()

.domain(d3.extent(cookedData, d => d.date))

.range([margin.left, width - margin.right]);

const y = d3.scaleLinear()

.range([height - margin.bottom, margin.top]);

svg.append("g")

.selectAll("path")

.data(series)

.join("path")

.attr("fill", ({key}) => color(key))

.attr("d", area)

.append("title")

.text(({key}) => key);

const legendRects = svg.selectAll('rect')

.data(Object.getOwnPropertyNames(template))

.enter()

.append('g')

.attr('transform', (d,i) => `translate(${i*145 + margin.left + 20},${height-margin.bottom-30})`);

legendRects.append('rect')

.attr('fill', d => color(d))

.attr('width', 20)

.attr('height', 20)

.attr('stroke', 'white')

.attr('stroke-width', 1)

legendRects.append('text')

.attr('font-size', 12)

.attr('x', 25)

.attr('y', 14)

.attr('fill', 'white')

.text(d => d);

svg.append("g").call(xAxis);

svg.append("g").call(yAxis);

return svg.node();

}

function color(data) {

return d3.scaleOrdinal()

.domain(data.columns.slice(1))

.range(d3.schemeCategory10);

}

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