Akhigbe-E

let dataset = [1,2,3,4,5]
d3.selectAll('p')
  .data(dataset)
  .enter()
  .append('p')
  .text('Hello There');

Akhigbe-E

.text(function(d){return d})
or .text(d=>d)//Arrow function😊

Akhigbe-E

let dataset = [30,12,103,170,45,95,190,75];
let svgHeight= 200, svgWidth = 500, barSpacing = 5;
let totalBarWidth = (svgWidth/dataset.length);
let barWidth = totalBarWidth-barSpacing
let svg = d3.select('svg')
            .attr('width', svgWidth)
            .attr('height', svgHeight);
let barchart = svg.selectAll('rect')
                  .data(dataset)
                  .enter()

Akhigbe-E

/*index.css*/
rect{
   fill: rgb(122, 2, 221);
}
svg{
  background: rgb(193, 216, 165);
}

Akhigbe-E

let dataset = [30,12,103,170,45,95,190,75];
let svgHeight= 200, svgWidth = 500, barSpacing = 5;
let totalBarWidth = (svgWidth/dataset.length);
let barWidth = totalBarWidth-barSpacing;
let svg = d3.select('svg')
            .attr('width', svgWidth)
            .attr('height', svgHeight);
let scale = d3.scaleLinear()
              .domain([0,d3.max(dataset)])
              .range([0,svgHeight])

Akhigbe-E

let dataset = [3,12,13,7,5,9,19,7];
let svgHeight= 400, svgWidth = 500, barSpacing = 5;
let totalBarWidth = (svgWidth/dataset.length);
let barWidth = totalBarWidth-barSpacing
let svg = d3.select('svg')
            .attr('width', svgWidth)
            .attr('height', svgHeight);
let xScale = d3.scaleLinear()
               .domain([0, d3.max(dataset)])
               .range([0, svgWidth])

Akhigbe-E

const http = require('http');

Akhigbe-E

const http = require('http');

const port = 3000;

const server = http.createServer((req, res) => {
  res.statusCode = 200;
  res.setHeader('Content-Type', 'text/plain');
  res.end('Hello World\n');
});

Akhigbe-E

//The array of group members in points
let givenArray = [1, 1, 2, 2, 1, 2];

//Number of groups to be formed
let noOfGroups = 2;

//Reducer
const reducer = (accumulator, currentValue) => accumulator + currentValue;

//Final Object

Akhigbe-E

// step 1: sort the array with an algorithm
// step 2: segment the sorted array into the n parts where n is the number of people in a group
// step 3: randomly select an element from each segment and assign it to the new group

const akhigbeCluster = (grades, noOfGroups) => {
  //Sort the grades & call the segmentArray function --STEP 1
  const quickSort = grades => {
    if (grades.length < 2) {
      return grades;
    }