diff --git a/website/src/App.js b/website/src/App.js index 16d040d..df58038 100644 --- a/website/src/App.js +++ b/website/src/App.js @@ -5,16 +5,17 @@ import "./App.css"; // Ensure App.css is correctly imported import GraphComponent from "./GraphComponent"; import Banner from "./Banner"; import BarChart from "./BarChart"; +import GraphTest from "./GraphTest"; function App() { return (
-

+

How Are European Views on Politics and Society Changing?

-
+

Across Europe, a quiet change is brewing. Inspired by an Economist article on the growing divide between young men and women, this @@ -32,10 +33,10 @@ function App() {

-

+

1. Bar Chart: Setting the Stage

-

+

Our journey starts with a Europe-wide snapshot. This bar chart shows average levels of a chosen variable (like trust in institutions) for four different age groups over time. This helps you get a feel for @@ -59,7 +60,9 @@ function App() {

{/* This adds the map to your application */}
-

3. Ranking the Gender Divide

+

+ 3. Ranking the Gender Divide +

This final view lets you compare countries side-by-side. It shows a ranked list of European nations based on the chosen variable's gender @@ -72,6 +75,10 @@ function App() { {" "} {/* So here we can add components, parts of the website, visualizations like this */}

+
+ {" "} + {/* So here we can add components, parts of the website, visualizations like this */} +
); } diff --git a/website/src/BarChart.jsx b/website/src/BarChart.jsx index 3ad6b65..68328be 100644 --- a/website/src/BarChart.jsx +++ b/website/src/BarChart.jsx @@ -1,109 +1,147 @@ -import React, { useEffect } from 'react'; -import * as d3 from 'd3'; +import { useEffect, useRef, useState } from "react"; +import * as d3 from "d3"; +import dataUrl from "./data/fake_survey_data_test.csv?url"; const BarChart = () => { + const [variable, setVariable] = useState("media_consumption"); + const [data, setData] = useState(null); + const [values, setValues] = useState([]); // State to hold processed data + const chartRef = useRef(null); + + const colors = { + media_consumption: "#F8AD1A", + religious_activity: "#F6810C", + financial_vulnerability: "#E34D20", + mental_stress: "#AA2243", + loneliness: "#6C0D59", + education: "#3F0059", + }; + + useEffect(() => { + d3.csv(dataUrl) + .then((csv_data) => setData(csv_data)) + .catch((err) => console.log(err)); + }, []); + useEffect(() => { - d3.select('#chart').selectAll('*').remove(); - const data = [ - { year: 2002, generation1: 4, generation2: 2, generation3: 5, generation4: 1 }, - { year: 2004, generation1: 3, generation2: 6, generation3: 1, generation4: 4 }, - { year: 2006, generation1: 5, generation2: 1, generation3: 3, generation4: 2 }, - { year: 2008, generation1: 2, generation2: 4, generation3: 6, generation4: 5 }, - { year: 2010, generation1: 1, generation2: 3, generation3: 2, generation4: 6 }, - { year: 2012, generation1: 6, generation2: 5, generation3: 4, generation4: 3 }, - { year: 2014, generation1: 4, generation2: 1, generation3: 2, generation4: 5 }, - { year: 2016, generation1: 3, generation2: 2, generation3: 6, generation4: 1 }, - { year: 2018, generation1: 5, generation2: 2, generation3: 4, generation4: 3 }, - { year: 2020, generation1: 2, generation2: 6, generation3: 1, generation4: 5 }, - ]; + if (data !== null) { + const years = [...new Set(data.map((item) => item.year))]; + const newValues = years.map((year) => ({ + year: year, + generations: [1, 2, 3, 4].map((gen) => { + const row = data.find( + (d) => d.year === year && d.generation === gen.toString() + ); + return row ? Number(row[variable]) : null; + }), + })); + setValues(newValues); + } + }, [data, variable]); - // Set up SVG - const margin = { top: 20, right: 20, bottom: 60, left: 60 }; + useEffect(() => { + if (!values.length) return; // Do nothing if values are not set + + const svg = d3.select(chartRef.current); + const margin = { top: 20, right: 20, bottom: 30, left: 40 }; const width = 960 - margin.left - margin.right; const height = 500 - margin.top - margin.bottom; - const svg = d3.select('#chart') - .append('svg') - .attr('width', width + margin.left + margin.right) - .attr('height', height + margin.top + margin.bottom) - .append('g') - .attr('transform', `translate(${margin.left},${margin.top})`); - - // Set up the scales + const x0 = d3.scaleBand() .rangeRound([0, width]) .paddingInner(0.1) - .domain(data.map(d => d.year)); - + .domain(values.map(d => d.year)); + const x1 = d3.scaleBand() .padding(0.05) - .domain(['generation1', 'generation2', 'generation3', 'generation4']) + .domain(["generation1", "generation2", "generation3", "generation4"]) .rangeRound([0, x0.bandwidth()]); - + const y = d3.scaleLinear() .rangeRound([height, 0]) - .domain([0, 6]); - - const z = d3.scaleOrdinal() - .range(['#7b6888', '#6b486b', '#a05d56', '#d0743c']); - - // Draw the bars - svg.append('g') - .selectAll('g') - .data(data) - .enter().append('g') - .attr('transform', d => `translate(${x0(d.year)},0)`) - .selectAll('rect') - .data(d => ['generation1', 'generation2', 'generation3', 'generation4'].map(key => ({ key, value: d[key] }))) - .enter().append('rect') - .attr('x', d => x1(d.key)) - .attr('y', d => y(d.value)) - .attr('width', x1.bandwidth()) - .attr('height', d => height - y(d.value)) - .attr('fill', d => z(d.key)); - - // Add axes - svg.append('g') - .attr('class', 'axis') - .attr('transform', `translate(0,${height})`) - .call(d3.axisBottom(x0)); - - svg.append('g') - .attr('class', 'axis') - .call(d3.axisLeft(y).ticks(null, 's')) - .append('text') - .attr('x', 2) - .attr('y', y(y.ticks().pop()) + 0.5) - .attr('dy', '0.32em') - .attr('fill', '#000') - .attr('font-weight', 'bold') - .attr('text-anchor', 'start') - .text('Scores'); - - // Add legend - const legend = svg.append('g') - .attr('font-family', 'sans-serif') - .attr('font-size', 10) - .attr('text-anchor', 'end') - .selectAll('g') - .data(['generation1', 'generation2', 'generation3', 'generation4'].slice().reverse()) - .enter().append('g') - .attr('transform', (d, i) => `translate(0,${i * 20})`); - - legend.append('rect') - .attr('x', width - 19) - .attr('width', 19) - .attr('height', 19) - .attr('fill', z); - - legend.append('text') - .attr('x', width - 24) - .attr('y', 9.5) - .attr('dy', '0.32em') - .text(d => d); - - }, []); - - return
; + .domain([0, d3.max(values, d => d3.max(d.generations))]); + + const z = d3 + .scaleOrdinal() + .range(["#7b6888", "#6b486b", "#a05d56", "#d0743c"]); + + const xAxis = d3.axisBottom(x0); + const yAxis = d3.axisLeft(y); + + // Set up the axes if they're not already present + svg.selectAll(".axis").data([0]).enter().append("g").attr("class", "x axis"); + svg.selectAll(".y.axis").data([0]).enter().append("g").attr("class", "y axis"); + + // Transition the Axis + svg.select(".x.axis") + .attr("transform", `translate(${margin.left},${height})`) + .transition() + .duration(1000) + .call(xAxis); + + svg.select(".y.axis") + .attr("transform", `translate(${margin.left})`) + .transition() + .duration(1000) + .call(yAxis); + + // Bind data to groups for each year + const yearGroups = svg.selectAll("g.year-group") + .data(values, d => d.year); + + // Enter new groups + const yearGroupsEnter = yearGroups.enter().append("g") + .attr("class", "year-group") + .attr("transform", d => `translate(${x0(d.year) + margin.left},0)`); + + // Update existing groups + yearGroups.transition() + .duration(4000) + .attr("transform", d => `translate(${x0(d.year) + margin.left},0)`); + + yearGroups.exit().remove(); + + // Bind data to rectangles within each group + const bars = yearGroups.merge(yearGroupsEnter).selectAll("rect") + .data(d => d.generations.map((value, index) => ({ index, value }))); + + // Enter new bars + bars.enter().append("rect") + .attr("x", d => x1(`generation${d.index + 1}`)) + .attr("width", x1.bandwidth()) + .attr("y", height) + .attr("height", 0) + .attr("fill", (d) => z(d.index)) + .merge(bars) // Update existing bars + .transition() + .duration(1000) + .attr("y", d => y(d.value)) + .attr("height", d => height - y(d.value)); + + bars.exit().transition().duration(1000) + .attr("y", height) + .attr("height", 0) + .remove(); + + }, [values, variable]); + + return ( +
+
+ {Object.keys(colors).map((variable) => ( + + ))} +
+ +
+ ); }; export default BarChart; diff --git a/website/src/GraphTest.jsx b/website/src/GraphTest.jsx new file mode 100644 index 0000000..28080d7 --- /dev/null +++ b/website/src/GraphTest.jsx @@ -0,0 +1,121 @@ +import React, { useEffect, useRef, useState } from "react"; +import * as d3 from "d3"; +import dataUrl from "./data/fake_survey_data_extended.csv?url"; + +const GraphTest = () => { + const d3Container = useRef(null); + const [variable, setVariable] = useState("media_consumption"); + const [data, setData] = useState([]); + + // Fetch and parse the CSV data + useEffect(() => { + d3.csv(dataUrl).then((data) => { + // Process data here, filter by year 2002 + const processedData = data + .filter(d => d.year === "2002") + .map(d => ({ + country: d.Country, + blueValue: +d[`${variable}_men`], + yellowValue: +d[`${variable}_women`] + })); + setData(processedData); + }); + }, [variable]); + + // Create the graph and update it when the data changes + useEffect(() => { + if (data.length > 0 && d3Container.current) { + const margin = { top: 20, right: 30, bottom: 40, left: 100 }; + const width = 960 - margin.left - margin.right; + const height = 600 - margin.top - margin.bottom; + + // Remove old svg elements + d3.select(d3Container.current).selectAll("*").remove(); + + // Declare image + const svg = d3 + .select(d3Container.current) + .attr("width", width + margin.left + margin.right) + .attr("height", height + margin.top + margin.bottom) + .append("g") + .attr("transform", `translate(${margin.left},${margin.top})`); + + // Create scales and the axes + const xScale = d3.scaleLinear().domain([1, 6]).range([1, width]); + const yScale = d3 + .scalePoint() + .domain(data.map((d) => d.country)) + .range([0, height]) + .padding(1); + + svg + .append("g") + .attr("transform", `translate(0,${height})`) + .call(d3.axisBottom(xScale).tickSize(-height).tickValues([1, 2, 3, 4, 5, 6])); + + svg.append("g").call(d3.axisLeft(yScale)); + + svg + .selectAll(".grid-line") + .data(xScale.ticks(6)) + .enter() + .append("line") + .attr("class", "grid-line") + .attr("x1", (d) => xScale(d)) + .attr("x2", (d) => xScale(d)) + .attr("y1", 0) + .attr("y2", height) + .attr("stroke", "lightgrey") + .attr("stroke-dasharray", "2"); + + // Add lines between blue and yellow points for each country + data.forEach((d) => { + svg.append("path") + .datum([{ country: d.country, value: d.blueValue }, { country: d.country, value: d.yellowValue }]) + .attr("d", d3.line() + .x(d => xScale(d.value)) + .y(d => yScale(d.country)) + ) + .attr("stroke", "black") + .attr("fill", "none"); + }); + + // Add blue dots + svg.selectAll(".dot.blue") + .data(data) + .enter() + .append("circle") + .attr("class", "dot blue") + .attr("cx", d => xScale(d.blueValue)) + .attr("cy", d => yScale(d.country)) + .attr("r", 10) + .attr("fill", "blue"); + + // Add yellow dots + svg.selectAll(".dot.yellow") + .data(data) + .enter() + .append("circle") + .attr("class", "dot yellow") + .attr("cx", d => xScale(d.yellowValue)) + .attr("cy", d => yScale(d.country)) + .attr("r", 10) + .attr("fill", "yellow"); + } + }, [data]); + + return ( +
+ +
+ {["media_consumption", "religious_activity", "financial_vulnerability", "mental_stress", "loneliness", "education"].map(v => ( + + ))} +
+
+ ); +}; + +export default GraphTest; \ No newline at end of file diff --git a/website/src/data/fake_survey_data.csv b/website/src/data/fake_survey_data.csv new file mode 100644 index 0000000..2f38a85 --- /dev/null +++ b/website/src/data/fake_survey_data.csv @@ -0,0 +1,41 @@ +year,generation,media_consumption_men,media_consumption_women,religious_activity_men,religious_activity_women,financial_vulnerability_men,financial_vulnerability_women,mental_stress_men,mental_stress_women,loneliness_men,loneliness_women,education_men,education_women +2002,1,1.36,3.96,5.96,4.53,3.05,1.26,5.79,4.19,1.56,4.03,2.31,4.25 +2002,2,5.3,1.21,4.99,5.53,4.02,2.91,3.13,3.44,1.54,2.63,1.66,5.5 +2002,3,5.94,4.33,1.78,4.01,5.67,2.68,4.38,1.62,5.91,3.01,1.27,1.92 +2002,4,4.71,1.83,2.54,3.97,4.37,5.41,3.98,5.62,1.44,5.61,2.01,3.13 +2004,1,2.93,5.79,2.91,1.64,5.38,3.46,5.14,5.17,4.44,4.99,1.49,1.88 +2004,2,1.39,2.56,1.52,2.77,5.44,1.37,3.24,2.64,5.31,4.59,3.12,3.3 +2004,3,5.71,2.52,3.21,5.34,1.41,1.37,2.24,5.93,2.14,2.16,5.06,5.14 +2004,4,4.1,4.96,3.51,5.25,2.08,1.77,3.35,4.93,5.54,3.27,5.34,4.22 +2006,1,5.74,2.26,4.11,3.02,5.29,5.37,1.53,1.32,3.21,3.42,5.88,1.33 +2006,2,5.93,1.45,2.43,1.05,3.51,3.5,5.66,2.37,3.24,4.9,3.22,3.74 +2006,3,1.93,3.33,5.97,4.49,2.41,1.47,1.53,5.26,3.11,1.85,1.94,2.91 +2006,4,4.81,1.33,5.88,2.75,5.87,4.91,2.12,1.18,3.35,1.51,3.96,3.46 +2008,1,4.47,5.19,3.87,1.19,5.05,3.88,4.34,2.26,1.82,1.91,2.52,3.1 +2008,2,1.71,4.16,5.76,3.91,4.97,4.35,4.69,1.52,5.73,2.97,5.97,1.08 +2008,3,3.23,5.2,3.25,4.81,1.14,1.13,4.11,3.73,1.27,5.08,5.07,2.09 +2008,4,1.49,4.05,4.96,2.83,2.21,5.32,1.88,3.31,2.2,2.68,4.98,2.81 +2010,1,3.63,5.43,1.68,1.94,5.11,1.21,1.15,1.79,2.49,5.06,1.6,4.13 +2010,2,1.45,3.18,4.88,5.99,2.89,3.23,2.42,4.66,1.75,1.25,5.39,4.45 +2010,3,4.83,4.37,1.02,1.14,1.45,3.05,5.38,3.42,5.15,1.57,1.08,4.25 +2010,4,4.35,5.67,2.92,5.29,2.88,3.79,1.67,1.39,3.76,1.75,3.28,2.31 +2012,1,3.66,4.21,5.88,2.3,5.79,5.52,4.93,2.61,3.12,4.52,5.19,5.59 +2012,2,5.63,2.89,4.05,4.91,2.88,4.62,4.44,2.97,5.22,3.76,4.52,3.99 +2012,3,5.02,4.2,1.69,5.42,4.88,4.89,3.88,4.57,1.63,4.63,5.67,3.31 +2012,4,1.22,3.22,5.06,1.18,3.45,3.3,1.04,3.84,1.03,4.71,2.05,4.55 +2014,1,4.69,5.06,2.36,4.19,2.04,2.6,3.32,4.58,1.1,1.55,4.97,1.89 +2014,2,2.71,3.71,1.73,1.75,2.96,5.66,2.79,5.72,1.39,3.19,4.24,5.18 +2014,3,1.37,4.64,2.28,4.49,1.41,3.07,4.05,5.33,4.08,1.82,5.76,2.47 +2014,4,3.34,2.22,5.1,3.09,2.76,3.98,5.86,3.96,5.67,1.73,2.98,3.18 +2016,1,2.88,2.86,4.91,1.85,1.18,3.43,1.2,1.03,4.57,1.15,4.72,5.14 +2016,2,5.45,4.21,2.05,4.22,5.68,1.17,1.12,3.94,2.31,4.54,4.49,5.09 +2016,3,2.97,2.6,5.09,4.94,2.2,1.55,1.78,5.91,4.71,1.33,5.77,2.22 +2016,4,2.11,2.78,2.09,5.75,1.99,2.49,2.57,4.16,5.44,2.98,4.54,4.07 +2018,1,3.2,1.22,2.62,5.97,5.65,1.93,2.17,1.77,3.54,5.6,4.05,5.52 +2018,2,4.68,1.88,1.92,5.39,5.44,2.68,4.76,3.83,1.31,5.59,5.75,5.66 +2018,3,1.93,4.8,2.77,2.82,3.89,3.25,1.1,2.3,4.96,4.6,2.17,2.06 +2018,4,2.76,5.07,2.29,1.67,3.1,4.08,5.64,3.22,5.19,4.23,2.37,3.5 +2020,1,2.41,4.42,5.73,1.35,4.19,4.91,3.48,5.24,5.79,2.21,3.65,1.61 +2020,2,1.91,4.75,3.37,1.45,1.62,5.55,1.36,1.96,3.83,5.02,5.25,2.43 +2020,3,2.91,2.75,4.19,4.47,2.83,5.26,5.16,1.92,4.1,1.75,1.91,4.07 +2020,4,1.68,5.68,3.02,3.55,3.33,1,1.31,2.64,5.06,3.62,4.6,2.48 \ No newline at end of file diff --git a/website/src/data/fake_survey_data_extended.csv b/website/src/data/fake_survey_data_extended.csv new file mode 100644 index 0000000..8b1fae7 --- /dev/null +++ b/website/src/data/fake_survey_data_extended.csv @@ -0,0 +1,601 @@ +Country,year,generation,media_consumption_men,media_consumption_women,religious_activity_men,religious_activity_women,financial_vulnerability_men,financial_vulnerability_women,mental_stress_men,mental_stress_women,loneliness_men,loneliness_women,education_men,education_women +Germany,2002,1,5.437056927505875,1.4879438193110865,5.109387344342425,3.964768192147786,5.3822263678751145,2.022017438615351,3.017372729852007,2.5550826338868653,5.794252882441366,3.674488927073987,2.0651017814943438,5.574778725778784 +Germany,2002,2,1.9282155911660486,4.163415189401913,4.692637373604258,2.5221211124564604,5.266618778895875,3.868843684272732,3.909569190602767,3.568471943989395,2.9291345858982902,3.0803835930253234,2.4168112511714823,4.135181643799031 +Germany,2002,3,1.8424214645461792,5.495689549325261,2.166413318615425,5.571836551218751,3.88126621243282,3.311685333729695,3.2875870533151588,4.504403789190307,5.875846106315489,4.565093302808835,2.0754877319143112,3.565918035844444 +Germany,2002,4,3.105127146073677,3.383548749283434,4.254676774526512,1.9768934482839295,4.062312049388083,2.2636259686977303,5.4273179763609605,3.2733068323119996,1.663432542517382,5.302207214152629,2.5929773584361486,1.5602795004015575 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a/website/src/data/fake_survey_data_test.csv b/website/src/data/fake_survey_data_test.csv new file mode 100644 index 0000000..f001458 --- /dev/null +++ b/website/src/data/fake_survey_data_test.csv @@ -0,0 +1,41 @@ +year,generation,media_consumption,religious_activity,financial_vulnerability,mental_stress,loneliness,education +2002,1,1.36,5.96,3.05,5.79,1.56,2.31 +2002,2,5.3,4.99,4.02,3.13,1.54,1.66 +2002,3,5.94,1.78,5.67,4.38,5.91,1.27 +2002,4,4.71,2.54,4.37,3.98,1.44,2.01 +2004,1,2.93,2.91,5.38,5.14,4.44,1.49 +2004,2,1.39,1.52,5.44,3.24,5.31,3.12 +2004,3,5.71,3.21,1.41,2.24,2.14,5.06 +2004,4,4.1,3.51,2.08,3.35,5.54,5.34 +2006,1,5.74,4.11,5.29,1.53,3.21,5.88 +2006,2,5.93,2.43,3.51,5.66,3.24,3.22 +2006,3,1.93,5.97,2.41,1.53,3.11,1.94 +2006,4,4.81,5.88,5.87,2.12,3.35,3.96 +2008,1,4.47,3.87,5.05,4.34,1.82,2.52 +2008,2,1.71,5.76,4.97,4.69,5.73,5.97 +2008,3,3.23,3.25,1.14,4.11,1.27,5.07 +2008,4,1.49,4.96,2.21,1.88,2.2,4.98 +2010,1,3.63,1.68,5.11,1.15,2.49,1.6 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0000000..669a42b --- /dev/null +++ b/website/src/visualizations.js @@ -0,0 +1,107 @@ +// visualizations.js +import * as d3 from "d3"; + +// Categories and colors are often used for scales in visualization functions +export const categories = [ + "Engineering", + "Business", + "Physical Sciences", + "Law & Public Policy", + "Computers & Mathematics", + "Agriculture & Natural Resources", + "Industrial Arts & Consumer Services", + "Arts", + "Health", + "Social Science", + "Biology & Life Science", + "Education", + "Humanities & Liberal Arts", + "Psychology & Social Work", + "Communications & Journalism", + "Interdisciplinary", +]; + +// Color palette for categories +const colors = [ + "#ffcc00", + "#ff6666", + "#cc0066", + "#66cccc", + "#f688bb", + "#65587f", + "#baf1a1", + "#333333", + "#75b79e", + "#66cccc", + "#9de3d0", + "#f1935c", + "#0c7b93", + "#eab0d9", + "#baf1a1", + "#9399ff", +]; + +// Scales defined globally within the module, initialized empty +let salarySizeScale, categoryColorScale, salaryXScale; + +// Function to initialize scales, call this from your setup function in your React component +export function createScales(dataset) { + salarySizeScale = d3 + .scaleLinear() + .domain(d3.extent(dataset, (d) => d.Median)) + .range([5, 35]); + + categoryColorScale = d3.scaleOrdinal().domain(categories).range(colors); + + salaryXScale = d3 + .scaleLinear() + .domain(d3.extent(dataset, (d) => d.Median)) + .range([100, 900]); // Assuming a margin left of 100 and svg width of 1000 +} + +export function drawInitial(svgElement) { + let svg = d3.select(svgElement); + + // Assume you add an initial set of elements or setup the canvas + svg + .append("g") + .attr("class", "initial-setup") + .append("text") + .text("Initial Visualization Setup") + .attr("x", 150) + .attr("y", 100); +} + +export function draw1(svgElement) { + let svg = d3.select(svgElement); + + // Clean up necessary parts or set up for this specific drawing + clean(svg, "isFirst"); + + // Example operation: changing circles' radius and color + svg + .selectAll("circle") + .transition() + .duration(500) + .attr("r", (d) => salarySizeScale(d.Median)) + .attr("fill", (d) => categoryColorScale(d.Category)); +} + +export function draw2(svgElement) { + let svg = d3.select(svgElement); + + // Another visualization setup or transition + clean(svg, "none"); // Assuming 'none' cleans everything not needed + + // More operations similar to draw1 or different + svg.selectAll("circle").transition().duration(300).attr("fill", "blue"); // Example change +} + +// Clean function to hide or reset certain elements based on the chart type +export function clean(svg, chartType) { + if (chartType === "isFirst") { + svg.selectAll(".not-first").style("display", "none"); + } else { + svg.selectAll("*").style("display", null); + } +}