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bar.js
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bar.js
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import ReactDropdown from 'react-dropdown';
import { useState, useEffect } from "react";
import { select, axisBottom, axisLeft } from "d3";
import { transformData } from "./useData";
// bar constants
const WIDTH = 900;
const HEIGHT= 400;
const margin={top: 25, right: 25, bottom: 100, left: 190};
const innerWidth = WIDTH - margin.left - margin.right;
const innerHeight = HEIGHT - margin.top - margin.bottom;
//Styling and format functions:
//Title case function for axis title formatting
function toTitle(string) {
return string.charAt(0).toUpperCase() + string.slice(1);
}
//Number formatting
function formatNumber(num) {
return num.toString().replace(/(\d)(?=(\d{3})+(?!\d))/g, '$1,');
}
// compute the max length for xAttribute
function max_key_length(data) {
var max = 0;
for(var i = 0; i < data.length; i++) {
if (data[i].key.length > max) {
max = data[i].key.length
}
}
return max
}
// compute the sum of all bars with an x-value greater/smaller than certain bar
function add_integral(barData) {
const lessThan = []
const greaterThan = []
for (var i = 0; i < barData.length; i++){
var less = []
var greater = []
for (var j = 0; j < barData.length; j++){
if (barData[j].key <= parseInt(barData[i].key)){
less.push(barData[j].value['amount'])
}else{
greater.push(barData[j].value['amount'])
}
}
barData[i].value.younger = d3.sum(less);
barData[i].value.older = d3.sum(greater);
}
return barData
}
//sort constant, 'none'; 'height': sort by height descendant; 'x': sort by x value
let sort_status = 'none';
const SORT_DURATION = 500;
// create the svg object
const SVG = (ref) => {
// the temporary solution is this, prevent react from appending svgs indefinitely
if (d3.selectAll("svg").empty()) {
d3.select(ref)
.append("svg")
.attr("width", WIDTH)
.attr("height", HEIGHT)
}
}
const Bar = (ref_radio, barData, yAttribute, xAttribute, totalPopulation) => {
const barAdjust = 100 / (barData.length**1.5) // for adjusting the width of bars
// remove everything from svg and rerender objects
const svg = d3.select("svg")
svg.selectAll("*").remove();
//-------------------------------------------------------------------------------
// xScale, yScale
const xScale = d3.scaleBand()
.domain(barData.map(d => d.key))
.range([0, innerWidth])
.paddingInner([.2]);
const yScale = d3.scaleLinear()
.domain([0, d3.max( barData.map(d => d.value[yAttribute]) )] )
.range([innerHeight, 0]).nice();
//--------------------------------------------------------------------------------
// bars and tooltip
// if age is selected as x-attributes, compute integral
if (xAttribute == 'age') {
barData = add_integral(barData)
}
const bars = svg.append('g')
.attr("transform", `translate (${margin.left}, ${margin.top})`)
.selectAll("rect")
.data(barData, d => d.key);
bars.enter().append("rect")
.attr("x", (d, i) => xScale(d.key)+barAdjust)
.attr("y", d => yScale(d.value[yAttribute]))
.attr("width", xScale.bandwidth()-barAdjust*2)
.attr("height", d => innerHeight - yScale(d.value[yAttribute]))
.style('opacity', 1)
.on('mouseover', function (d, i) {
if(yAttribute == 'amount' & xAttribute == 'age'){
tooltip
.html(
`<div>${toTitle(xAttribute)}: ${d.key}</div>
<div>${toTitle(yAttribute)}: ${formatNumber(d.value[yAttribute].toFixed(2))}</div>
<div>${'Percent'}: ${formatNumber((d.value[yAttribute]/totalPopulation*100).toFixed(2))}%</div>
<div>There are ${formatNumber(d.value.younger)} people ${d.key} or younger under custody (${formatNumber((d.value.younger/totalPopulation*100).toFixed(1))}%)</div>
<div>There are ${formatNumber(d.value.older)} people over ${d.key} under custody (${formatNumber((d.value.older/totalPopulation*100).toFixed(1))}%)</div>`
)
.style('visibility', 'visible');
d3.select(this).style("opacity", 0.7);
}else if(yAttribute == 'amount'){
tooltip
.html(
`<div>${toTitle(xAttribute)}: ${d.key}</div>
<div>${toTitle(yAttribute)}: ${formatNumber(d.value[yAttribute].toFixed(0))}</div>
<div>${'Percent'}: ${formatNumber((d.value[yAttribute]/totalPopulation*100).toFixed(2))}%</div>`
)
.style('visibility', 'visible');
d3.select(this).style("opacity", 0.7);
}else{
tooltip
.html(
`<div>${toTitle(xAttribute)}: ${d.key}</div>
<div>${toTitle(yAttribute)}: ${formatNumber(d.value[yAttribute].toFixed(2))}</div>
<div>${'Count '}${d.key}: ${formatNumber(d.value.amount.toFixed(0))}</div>`
)
.style('visibility', 'visible');
d3.select(this).style("opacity", 0.7);
}
})
.on('mousemove', function () {
tooltip
.style('top', d3.event.pageY - 10 + 'px')
.style('left', d3.event.pageX + 10 + 'px');
})
.on('mouseout', function () {
tooltip.html(``).style('visibility', 'hidden');
d3.select(this).style("opacity", 1);
});
//moueover tooltip
const tooltip = select("body").append("div").attr("class", "d3-tooltip");
//--------------------------------------------------------------------------------
// xAxis, yAxis
// initialize axis
var xAxis = d3.axisBottom().scale(xScale)
var yAxis = d3.axisLeft().scale(yScale);
// if xaxis contains too many numbers, consider show every other axis tick
if ((barData.length > 40) & !isNaN(barData[0].key)) {
xAxis = xAxis.tickFormat((interval,i) => {
return i%2 !== 0 ? " ": interval;})
}
// show axis
let rotate = 0 // for rotating x axis text when text is too long
if (max_key_length(barData) >= 10 & barData.length >= 10) {rotate=90};
svg.append("g")
.attr("class", "axis")
.attr("id", "xAxis")
.attr("transform", `translate (${margin.left}, ${HEIGHT - margin.bottom})`)
.call(xAxis);
// if the xaxis label need a rotation, do this
if (rotate == 90) {
svg.select("#xAxis")
.selectAll("text")
.attr("dx", "0.6em")
.attr("dy", "-0.6em")
.attr("text-anchor", "start")
.attr("transform", `rotate(${rotate})`)
}
svg.append("g")
.attr("class", "axis")
.attr("transform", `translate (${margin.left}, ${margin.top})`)
.call(yAxis);
//--------------------------------------------------------------------------------
//Axis labels
svg
.append("text")
.attr('class', 'axis-label')
.attr('y', 0 + HEIGHT / 2)
.attr('x', 0 + margin.left / 2)
.attr("dx", "-0.95em")
.text(toTitle(yAttribute));
if (rotate == 90){
null //do nothing
} else {
svg
.append("text")
.attr('class', 'axis-label')
.attr("y", HEIGHT - margin.bottom)
.attr("x", 0 + WIDTH/2 + margin.left/2)
.attr("dy", "1.5em")
.text(toTitle(xAttribute));
}
//--------------------------------------------------------------------------------
// sorting
// radio button calls sort function on click
d3.select(ref_radio)
.selectAll("input")
.on("click", sort)
// sort when changing dropdown menu given the sorted button is already selected
sort(sort_status)
function change_data(new_data, duration, delay=0) {
//change the axis generator
xScale.domain(new_data.map(d => d.key));
svg.select("#xAxis")
.transition().duration(duration).ease(d3.easeLinear)
.call(xAxis);
// change bars
const bars = svg.selectAll("rect").data(new_data, d => d.key)
bars.transition().delay(delay).duration(duration).ease(d3.easeLinear)
.attr("x", (d, i) => xScale(d.key)+barAdjust)
.attr("y", d => yScale(d.value[yAttribute]))
.attr("width", xScale.bandwidth()-barAdjust*2)
.attr("height", d => innerHeight - yScale(d.value[yAttribute]))
};
// argument is optional, used when changing dropdown menu given the sorted button is already selected
function sort(arg) {
if (typeof arg == 'string') { // when changing dropdown menu given the sorted button is already selected
var action = arg
var duration = 0
} else { // when no argument is passed into sort, get value from the radio button
var action = d3.select(this).node().value;
var duration = SORT_DURATION;
}
// console.log(action)
if (action == "height"){
const new_data = barData.slice().sort((a,b) => d3.ascending(b.value[yAttribute], a.value[yAttribute]));
change_data(new_data, duration);
sort_status = 'height';
} else if (action == 'x') {
// if the str is a number, compare the number, not the strings. If we can process the
// data so that the key remains numeric data type in the transform function, we don't need this step
if (barData[0].key.match("\\d+")) {
var new_data = barData.slice().sort((a,b) => d3.ascending(parseInt(a.key), parseInt(b.key)));
} else {
var new_data = barData.slice().sort((a,b) => d3.ascending(a.key, b.key));
}
change_data(new_data, duration)
sort_status = 'x';
}
};
};
//Table
const Table = ({ barData, yAttribute, xAttribute, totalPopulation}) => {
const xScale = d3
.scaleBand()
.domain(barData.map((d) => d.key))
.range([0, innerWidth])
.paddingInner([0.2]);
const yScale = d3
.scaleLinear()
.domain([0, d3.max(barData.map((d) => d.value[yAttribute]))])
.range([innerHeight, 0]);
//create arrays of values that will fill table
const count = barData.map((d) => d.value[yAttribute]); //count for each category
const yTotal = d3.sum(count) //total number individuals
const xLength = xScale.domain().length //number of categories for the givenn x attribute
const pct = barData.map((d) => d.value[yAttribute]/yTotal * 100); //percent of total for each category
let row1 = [];
let rows = [];
//Fill first row with table headings
for (var i = 0; i < 1; i++){
let rowID = `row${i}`
let cell = []
for (var idx = 0; idx < 1; idx++){
let cellID = `cell${i}-${idx}`
cell.push(<td key={cellID} id={cellID}>{toTitle(xAttribute)}</td>)
}
if(yAttribute == 'amount'){
for (var idx = 1; idx < 2; idx++){
let cellID = `cell${i}-${idx}`
cell.push(<td key={cellID} id={cellID}>Percent</td>)
}
}
if(yAttribute == 'amount'){
for (var idx = 2; idx < 3; idx++){
let cellID = `cell${i}-${idx}`
cell.push(<td key={cellID} id={cellID}>Population</td>)
}
}else{
for (var idx = 2; idx < 3; idx++){
let cellID = `cell${i}-${idx}`
cell.push(<td key={cellID} id={cellID}>Years</td>)
}
}
row1.push(<tr key={i} id={rowID}>{cell}</tr>)
};
//Fill table by column. Col 1 is each category for the given xattribute. Col 2 is the value for each category.
//Col 3 is percent of total population for each category
for (var i = 1; i < xLength + 1; i++){
let rowID = `row${i}`
let cell = []
for (var idx = 0; idx < 1; idx++){
let cellID = `cell${i}-${idx}`
let entry = xScale.domain()[i-1]
cell.push(<td key={cellID} id={cellID}>{entry}</td>)
}
if(yAttribute == 'amount'){
for (var idx = 1; idx < 2; idx++){
let cellID = `cell${i}-${idx}`
let entry = pct[i-1].toFixed(2)
cell.push(<td key={cellID} id={cellID}>{entry}%</td>)
}
}
if(yAttribute == 'amount'){
for (var idx = 2; idx < 3; idx++){
let cellID = `cell${i}-${idx}`
let entry = count[i-1].toFixed(0)
cell.push(<td key={cellID} id={cellID}>{formatNumber(entry)}</td>)
}
}else{
for (var idx = 2; idx < 3; idx++){
let cellID = `cell${i}-${idx}`
let entry = count[i-1].toFixed(2)
cell.push(<td key={cellID} id={cellID}>{formatNumber(entry)}</td>)
}
}
rows.push(<tr key={i} id={rowID}>{cell}</tr>)
};
//create table element with rows
const tableElement = (
<table id="summary-table">
<thead>
{row1}
</thead>
<tbody>
{rows}
</tbody>
<caption>Total Number Under Custody: {formatNumber(totalPopulation)}</caption>
</table>
);
//render table
ReactDOM.render(tableElement, document.getElementById('table'));
return <></>;
};
export const Chart = ( {rawData} ) => {
// create React hooks for controlling the grouped data we want to generate; also, setup the initial value
const [xAttribute, setXAttribute] = useState('sex');
const [yAttribute, setYAttribute] = useState('amount');
// according to the current xAttr ibute, group by that attribute and compute the number of observations and the average age
const barData = transformData(rawData, xAttribute)
//count total entries
const totalPopulation = rawData.length;
console.log(barData)
// map each column to { value: col, label: col } to feed into react Dropdown menu
const xFields = Object.keys(rawData[0]).map(d => ({"value":d, "label":d}));
console.log(xFields)
const yFields = Object.keys(barData[0].value).map(d => ({"value":d, "label":d}));
// return the title, the dropdown menus, and the barplot with axes
return(
<>
<h1 ref={d => SVG(d)}> </h1>
<div className='menu-container'>
<span className="dropdown-label">X</span>
<ReactDropdown
options={xFields}
value={xAttribute}
onChange={({value, label}) => setXAttribute(value)}
/>
<span className="dropdown-label">Y</span>
<ReactDropdown
options={yFields}
value={yAttribute}
onChange={({value, label}) => setYAttribute(value)}
/>
</div>
<div id='radio_sort' ref={d => Bar(d, barData, yAttribute, xAttribute, totalPopulation)} class="control-group">
<label class="control control-radio">
Sort by Height
<input className='radio' type="radio" value="height" name="sort" />
<div class="control_indicator"></div>
</label>
<label class="control control-radio">
Sort by X Value
<input className='radio' type="radio" value="x" name="sort" />
<div class="control_indicator"></div>
</label>
</div>
<Table barData={barData} yAttribute={yAttribute} xAttribute = {xAttribute} totalPopulation = {totalPopulation}/>
</>
);
};