• <blockquote id="inu9g"></blockquote>
  • <nobr id="inu9g"></nobr>
    <em id="inu9g"></em>
    \n <\/svg>\n<\/body>\n<\/html>\n<\/pre>\n\n\n\n

    \n \n \n Create a simple line graph\n<\/h3>\n\n\n\n
    \/\/ Assume we have the following data\nvar data = [4, 8, 15, 16, 23, 42];\n\n\/\/ Create an SVG canvas\nvar svg = d3.select(\"svg\"),\n    margin = {top: 20, right: 20, bottom: 30, left: 50},\n    width = +svg.attr(\"width\") - margin.left - margin.right,\n    height = +svg.attr(\"height\") - margin.top - margin.bottom;\n\n\/\/ Create x and y scales\nvar x = d3.scaleLinear()\n    .domain(d3.extent(data, d => d))\n    .range([0, width]);\n\nvar y = d3.scaleLinear()\n    .domain([0, d3.max(data)])\n    .range([height, 0]);\n\n\/\/ Create the x and y axes\nvar xAxis = d3.axisBottom(x),\n    yAxis = d3.axisLeft(y);\n\n\/\/ Add axis\nsvg.append(\"g\")\n    .attr(\"transform\", \"translate(0,\" + height + \")\")\n    .call(xAxis);\n\nsvg.append(\"g\")\n    .call(yAxis);\n\n\/\/ Draw the polyline\nvar line = d3.line()\n    .x(d => x(d))\n    .y(d => y(d));\n\nsvg.append(\"path\")\n    .datum(data)\n    .attr(\"class\", \"line\")\n    .attr(\"d\", line);\n<\/pre>\n\n\n\n

    \n \n \n Creating a Bar Chart\n<\/h3>\n\n\n\n
    \/\/ Suppose we have the following data\nvar data = [4, 8, 15, 16, 23, 42];\n\n\/\/ Creating the SVG canvas and scale\nvar svg = d3.select(\"svg\").attr(\"width\", 500).attr(\"height\", 500);\nvar margin = {top: 20, right: 20, bottom: 30, left: 40};\nvar width = +svg.attr(\"width\") - margin.left - margin.right;\nvar height = +svg.attr(\"height\") - margin.top - margin.bottom;\nvar x = d3.scaleBand().rangeRound([0, width]).padding(0.1);\nvar y = d3.scaleLinear().rangeRound([height, 0]);\n\n\/\/ Mapping data to scale\nx.domain(data.map(function(d) { return d; }));\ny.domain([0, d3.max(data)]);\n\n\/\/ Creating an SVG g Element\nvar g = svg.append(\"g\")\n    .attr(\"transform\", \"translate(\" + margin.left + \",\" + margin.top + \")\");\n\n\/\/ Adding x and y axes\ng.append(\"g\")\n    .attr(\"transform\", \"translate(0,\" + height + \")\")\n    .call(d3.axisBottom(x));\n\ng.append(\"g\")\n    .call(d3.axisLeft(y));\n\n\/\/ Draw a bar chart\ng.selectAll(\".bar\")\n    .data(data)\n    .enter().append(\"rect\")\n    .attr(\"class\", \"bar\")\n    .attr(\"x\", function(d) { return x(d); })\n    .attr(\"y\", function(d) { return y(d); })\n    .attr(\"width\", x.bandwidth())\n    .attr(\"height\", function(d) { return height - y(d); });\n<\/pre>\n\n\n\n

    \n \n \n Create a pie chart\n<\/h3>\n\n\n\n
    \/\/ Suppose we have the following data\nvar data = [4, 8, 15, 16, 23, 42];\n\n\/\/ Creating the SVG canvas and scale\nvar svg = d3.select(\"svg\").attr(\"width\", 500).attr(\"height\", 500);\nvar radius = Math.min(svg.attr(\"width\"), svg.attr(\"height\")) \/ 2;\n\n\/\/ Creating an arc scale\nvar arc = d3.arc().outerRadius(radius).innerRadius(0);\nvar pie = d3.pie().value(function(d) { return d; });\n\n\/\/ Draw a pie chart\nvar g = svg.append(\"g\")\n    .attr(\"transform\", \"translate(\" + radius + \",\" + radius + \")\");\n\nvar arcs = g.selectAll(\"arc\")\n    .data(pie(data))\n    .enter().append(\"g\")\n    .attr(\"class\", \"arc\");\n\narcs.append(\"path\")\n    .attr(\"d\", arc)\n    .attr(\"fill\", function(d, i) { return d3.schemeCategory10[i]; });\n\narcs.append(\"text\")\n    .attr(\"transform\", function(d) { return \"translate(\" + arc.centroid(d) + \")\"; })\n    .attr(\"dy\", \".35em\")\n    .text(function(d) { return d.data; });\n<\/pre>\n\n\n\n

    \n \n \n Interactivity and animation\n<\/h3>\n\n

    Interactivity example: adding hover effects to a bar chart
    \n<\/p>\n\n

    \/\/ Assuming that the bar chart base code already exists\n\/\/ ...\n\n\/\/ Add hover effects\ng.selectAll(\".bar\")\n    .on(\"mouseover\", function(event, d) {\n        d3.select(this)\n            .transition()\n            .duration(200)\n            .attr(\"fill\", \"orange\"); \/\/ Mouseover color change\n\n        \/\/ Show Data Tips\n        var tooltip = g.append(\"text\")\n            .attr(\"class\", \"tooltip\")\n            .attr(\"x\", x(d) + x.bandwidth() \/ 2)\n            .attr(\"y\", y(d) - 10)\n            .text(d);\n    })\n    .on(\"mouseout\", function(event, d) {\n        d3.select(this)\n            .transition()\n            .duration(200)\n            .attr(\"fill\", \"steelblue\"); \/\/ Restore original color\n\n        \/\/ Remove data tips\n        g.selectAll(\".tooltip\").remove();\n    });\n<\/pre>\n\n\n\n

    Animation example: Smooth transition line chart data update
    \n<\/p>\n\n

    \/\/ Assume that there is already a line chart basic code\n\/\/ ...\n\n\/\/ Update data\nvar newData = [8, 15, 16, 23, 42, 45];\n\n\/\/ Update scale domain\nx.domain(d3.extent(newData));\ny.domain([0, d3.max(newData)]);\n\n\/\/ Update axis\ng.select(\".axis--x\").transition().duration(750).call(xAxis);\ng.select(\".axis--y\").transition().duration(750).call(yAxis);\n\n\/\/ Update path\nvar path = g.select(\".line\");\npath.datum(newData).transition().duration(750).attr(\"d\", line);\n<\/pre>\n\n\n\n

    \n \n \n Complex graphs: force-directed graphs\n<\/h3>\n\n

    Force-directed graphs show the relationship between nodes and edges, which is very suitable for visualizing data such as networks and social graphs.
    \n<\/p>\n\n

    \/\/ Assume we have data on nodes and edges\nvar nodes = [{id: \"A\"}, {id: \"B\"}, {id: \"C\"}];\nvar links = [{source: nodes[0], target: nodes[1]}, {source: nodes[1], target: nodes[2]}];\n\n\/\/ Creating the SVG Canvas\nvar svg = d3.select(\"svg\"),\n    width = +svg.attr(\"width\"),\n    height = +svg.attr(\"height\");\n\n\/\/ Creating a Force Simulation\nvar simulation = d3.forceSimulation(nodes)\n    .force(\"link\", d3.forceLink(links).id(function(d) { return d.id; }))\n    .force(\"charge\", d3.forceManyBody())\n    .force(\"center\", d3.forceCenter(width \/ 2, height \/ 2));\n\n\/\/ Creating links and nodes\nvar link = svg.append(\"g\")\n    .attr(\"stroke\", \"#999\")\n    .attr(\"stroke-opacity\", 0.6)\n  .selectAll(\"line\")\n  .data(links)\n  .join(\"line\")\n    .attr(\"stroke-width\", 2);\n\nvar node = svg.append(\"g\")\n    .attr(\"stroke\", \"#fff\")\n    .attr(\"stroke-width\", 1.5)\n  .selectAll(\"circle\")\n  .data(nodes)\n  .join(\"circle\")\n    .attr(\"r\", 5)\n    .call(d3.drag()\n        .on(\"start\", dragstarted)\n        .on(\"drag\", dragged)\n        .on(\"end\", dragended));\n\nnode.append(\"title\")\n    .text(function(d) { return d.id; });\n\nsimulation.on(\"tick\", ticked);\n\nfunction ticked() {\n  link\n      .attr(\"x1\", function(d) { return d.source.x; })\n      .attr(\"y1\", function(d) { return d.source.y; })\n      .attr(\"x2\", function(d) { return d.target.x; })\n      .attr(\"y2\", function(d) { return d.target.y; });\n\n  node\n      .attr(\"cx\", function(d) { return d.x; })\n      .attr(\"cy\", function(d) { return d.y; });\n}\n\n\/\/ Drag event handling function\nfunction dragstarted(event, d) {\n  if (!event.active) simulation.alphaTarget(0.3).restart();\n  d.fx = d.x;\n  d.fy = d.y;\n}\n\nfunction dragged(event, d) {\n  d.fx = event.x;\n  d.fy = event.y;\n}\n\nfunction dragended(event, d) {\n  if (!event.active) simulation.alphaTarget(0);\n  d.fx = null;\n  d.fy = null;\n}\n<\/pre>\n\n\n\n

    \n \n \n Map Visualization\n<\/h3>\n\n

    D3.js can work with geographic data formats such as GeoJSON to create interactive maps. This includes countries, states, city boundaries, etc.<\/p>\n\n

    Basic steps:<\/p>\n\n

      \n
    • Load map data: Use D3's d3.json or d3.geoJson to load GeoJSON data.<\/p><\/li>\n

    • Create scale: Define a geographic projection and scale, such as Mercator or Albers USA.<\/p><\/li>\n

    • Bind data and draw: Bind GeoJSON data to SVG path elements and apply a projection.<\/p><\/li>\n

    • Add interactions: Such as hover effects, click events, etc.
      \n<\/p><\/li>\n<\/ul>\n\n

      d3.json(\"world.geojson\").then(function(geoData) {\n  var svg = d3.select(\"svg\"),\n      projection = d3.geoMercator().scale(130).translate([400, 250]),\n      path = d3.geoPath().projection(projection);\n\n  svg.selectAll(\"path\")\n    .data(geoData.features)\n    .enter().append(\"path\")\n    .attr(\"d\", path)\n    .attr(\"fill\", \"#ccc\")\n    .attr(\"stroke\", \"#fff\");\n});\n<\/pre>\n\n\n\n

      \n \n \n Data binding and dynamic update\n<\/h3>\n\n

      Basic steps:<\/strong><\/p>\n\n

        \n
      • Initialize data binding: Use the data() method to bind data to DOM elements.<\/p><\/li>\n

      • Enter, Update, Exit mode: process new data, update existing data, and remove useless data.<\/p><\/li>\n

      • Dynamic update: monitor data changes, re-execute binding and rendering processes.
        \n<\/p><\/li>\n<\/ul>\n\n

        var svg = d3.select(\"svg\"),\n    data = [4, 8, 15, 16, 23, 42];\n\n\/\/ Initialize the bar chart\nvar bars = svg.selectAll(\"rect\").data(data);\n\nbars.enter().append(\"rect\")\n    .attr(\"x\", function(d, i) { return i * 50; })\n    .attr(\"y\", function(d) { return 300 - d; })\n    .attr(\"width\", 40)\n    .attr(\"height\", function(d) { return d; });\n\n\/\/ Dynamic Updates\nsetInterval(function() {\n  data = data.map(function(d) { return Math.max(0, Math.random() * 50); });\n\n  bars.data(data)\n    .transition()\n    .duration(500)\n    .attr(\"y\", function(d) { return 300 - d; })\n    .attr(\"height\", function(d) { return d; });\n}, 2000);\n<\/pre>\n\n\n\n

        \n \n \n Complex charts and advanced techniques\n<\/h3>\n\n

        Advanced techniques:<\/strong><\/p>\n\n

          \n
        • Use D3 component libraries: Libraries like D3fc provide advanced chart components to simplify the creation of complex charts.<\/p><\/li>\n

        • Animation and transition: Use the transition() method to create smooth animation effects.<\/p><\/li>\n

        • Interactivity: Add click and hover events, and use brush and zoom functions to enhance user experience.<\/p><\/li>\n

        • Performance optimization: Use selectAll(), data(), enter(), exit() reasonably to reduce DOM operations, and use requestAnimationFrame() to optimize animation performance.<\/p><\/li>\n<\/ul>\n\n\n \n\n \n "}

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          Home Web Front-end JS Tutorial Ds in action: advanced data visualization techniques and examples

          Ds in action: advanced data visualization techniques and examples

          Dec 30, 2024 am 07:11 AM

          Ds in action: advanced data visualization techniques and examples

          Basics

          First, we need an HTML file to import the D3.js library and prepare a canvas to place our chart.

          <!DOCTYPE html>
          <html lang="en">
          <head>
            <meta charset="UTF-8">
            <meta name="viewport" content="width=device-width, initial-scale=1.0">
            <title>Getting Started with D3.js Example</title>
            <script src="https://d3js.org/d3.v7.min.js"></script>
          </head>
          <body>
            <svg width="500" height="500"></svg>
          </body>
          </html>
          

          Create a simple line graph

          // Assume we have the following data
          var data = [4, 8, 15, 16, 23, 42];
          
          // Create an SVG canvas
          var svg = d3.select("svg"),
              margin = {top: 20, right: 20, bottom: 30, left: 50},
              width = +svg.attr("width") - margin.left - margin.right,
              height = +svg.attr("height") - margin.top - margin.bottom;
          
          // Create x and y scales
          var x = d3.scaleLinear()
              .domain(d3.extent(data, d => d))
              .range([0, width]);
          
          var y = d3.scaleLinear()
              .domain([0, d3.max(data)])
              .range([height, 0]);
          
          // Create the x and y axes
          var xAxis = d3.axisBottom(x),
              yAxis = d3.axisLeft(y);
          
          // Add axis
          svg.append("g")
              .attr("transform", "translate(0," + height + ")")
              .call(xAxis);
          
          svg.append("g")
              .call(yAxis);
          
          // Draw the polyline
          var line = d3.line()
              .x(d => x(d))
              .y(d => y(d));
          
          svg.append("path")
              .datum(data)
              .attr("class", "line")
              .attr("d", line);
          

          Creating a Bar Chart

          // Suppose we have the following data
          var data = [4, 8, 15, 16, 23, 42];
          
          // Creating the SVG canvas and scale
          var svg = d3.select("svg").attr("width", 500).attr("height", 500);
          var margin = {top: 20, right: 20, bottom: 30, left: 40};
          var width = +svg.attr("width") - margin.left - margin.right;
          var height = +svg.attr("height") - margin.top - margin.bottom;
          var x = d3.scaleBand().rangeRound([0, width]).padding(0.1);
          var y = d3.scaleLinear().rangeRound([height, 0]);
          
          // Mapping data to scale
          x.domain(data.map(function(d) { return d; }));
          y.domain([0, d3.max(data)]);
          
          // Creating an SVG g Element
          var g = svg.append("g")
              .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
          
          // Adding x and y axes
          g.append("g")
              .attr("transform", "translate(0," + height + ")")
              .call(d3.axisBottom(x));
          
          g.append("g")
              .call(d3.axisLeft(y));
          
          // Draw a bar chart
          g.selectAll(".bar")
              .data(data)
              .enter().append("rect")
              .attr("class", "bar")
              .attr("x", function(d) { return x(d); })
              .attr("y", function(d) { return y(d); })
              .attr("width", x.bandwidth())
              .attr("height", function(d) { return height - y(d); });
          

          Create a pie chart

          // Suppose we have the following data
          var data = [4, 8, 15, 16, 23, 42];
          
          // Creating the SVG canvas and scale
          var svg = d3.select("svg").attr("width", 500).attr("height", 500);
          var radius = Math.min(svg.attr("width"), svg.attr("height")) / 2;
          
          // Creating an arc scale
          var arc = d3.arc().outerRadius(radius).innerRadius(0);
          var pie = d3.pie().value(function(d) { return d; });
          
          // Draw a pie chart
          var g = svg.append("g")
              .attr("transform", "translate(" + radius + "," + radius + ")");
          
          var arcs = g.selectAll("arc")
              .data(pie(data))
              .enter().append("g")
              .attr("class", "arc");
          
          arcs.append("path")
              .attr("d", arc)
              .attr("fill", function(d, i) { return d3.schemeCategory10[i]; });
          
          arcs.append("text")
              .attr("transform", function(d) { return "translate(" + arc.centroid(d) + ")"; })
              .attr("dy", ".35em")
              .text(function(d) { return d.data; });
          

          Interactivity and animation

          Interactivity example: adding hover effects to a bar chart

          // Assuming that the bar chart base code already exists
          // ...
          
          // Add hover effects
          g.selectAll(".bar")
              .on("mouseover", function(event, d) {
                  d3.select(this)
                      .transition()
                      .duration(200)
                      .attr("fill", "orange"); // Mouseover color change
          
                  // Show Data Tips
                  var tooltip = g.append("text")
                      .attr("class", "tooltip")
                      .attr("x", x(d) + x.bandwidth() / 2)
                      .attr("y", y(d) - 10)
                      .text(d);
              })
              .on("mouseout", function(event, d) {
                  d3.select(this)
                      .transition()
                      .duration(200)
                      .attr("fill", "steelblue"); // Restore original color
          
                  // Remove data tips
                  g.selectAll(".tooltip").remove();
              });
          

          Animation example: Smooth transition line chart data update

          // Assume that there is already a line chart basic code
          // ...
          
          // Update data
          var newData = [8, 15, 16, 23, 42, 45];
          
          // Update scale domain
          x.domain(d3.extent(newData));
          y.domain([0, d3.max(newData)]);
          
          // Update axis
          g.select(".axis--x").transition().duration(750).call(xAxis);
          g.select(".axis--y").transition().duration(750).call(yAxis);
          
          // Update path
          var path = g.select(".line");
          path.datum(newData).transition().duration(750).attr("d", line);
          

          Complex graphs: force-directed graphs

          Force-directed graphs show the relationship between nodes and edges, which is very suitable for visualizing data such as networks and social graphs.

          // Assume we have data on nodes and edges
          var nodes = [{id: "A"}, {id: "B"}, {id: "C"}];
          var links = [{source: nodes[0], target: nodes[1]}, {source: nodes[1], target: nodes[2]}];
          
          // Creating the SVG Canvas
          var svg = d3.select("svg"),
              width = +svg.attr("width"),
              height = +svg.attr("height");
          
          // Creating a Force Simulation
          var simulation = d3.forceSimulation(nodes)
              .force("link", d3.forceLink(links).id(function(d) { return d.id; }))
              .force("charge", d3.forceManyBody())
              .force("center", d3.forceCenter(width / 2, height / 2));
          
          // Creating links and nodes
          var link = svg.append("g")
              .attr("stroke", "#999")
              .attr("stroke-opacity", 0.6)
            .selectAll("line")
            .data(links)
            .join("line")
              .attr("stroke-width", 2);
          
          var node = svg.append("g")
              .attr("stroke", "#fff")
              .attr("stroke-width", 1.5)
            .selectAll("circle")
            .data(nodes)
            .join("circle")
              .attr("r", 5)
              .call(d3.drag()
                  .on("start", dragstarted)
                  .on("drag", dragged)
                  .on("end", dragended));
          
          node.append("title")
              .text(function(d) { return d.id; });
          
          simulation.on("tick", ticked);
          
          function ticked() {
            link
                .attr("x1", function(d) { return d.source.x; })
                .attr("y1", function(d) { return d.source.y; })
                .attr("x2", function(d) { return d.target.x; })
                .attr("y2", function(d) { return d.target.y; });
          
            node
                .attr("cx", function(d) { return d.x; })
                .attr("cy", function(d) { return d.y; });
          }
          
          // Drag event handling function
          function dragstarted(event, d) {
            if (!event.active) simulation.alphaTarget(0.3).restart();
            d.fx = d.x;
            d.fy = d.y;
          }
          
          function dragged(event, d) {
            d.fx = event.x;
            d.fy = event.y;
          }
          
          function dragended(event, d) {
            if (!event.active) simulation.alphaTarget(0);
            d.fx = null;
            d.fy = null;
          }
          

          Map Visualization

          D3.js can work with geographic data formats such as GeoJSON to create interactive maps. This includes countries, states, city boundaries, etc.

          Basic steps:

          • Load map data: Use D3's d3.json or d3.geoJson to load GeoJSON data.

          • Create scale: Define a geographic projection and scale, such as Mercator or Albers USA.

          • Bind data and draw: Bind GeoJSON data to SVG path elements and apply a projection.

          • Add interactions: Such as hover effects, click events, etc.

          d3.json("world.geojson").then(function(geoData) {
            var svg = d3.select("svg"),
                projection = d3.geoMercator().scale(130).translate([400, 250]),
                path = d3.geoPath().projection(projection);
          
            svg.selectAll("path")
              .data(geoData.features)
              .enter().append("path")
              .attr("d", path)
              .attr("fill", "#ccc")
              .attr("stroke", "#fff");
          });
          

          Data binding and dynamic update

          Basic steps:

          • Initialize data binding: Use the data() method to bind data to DOM elements.

          • Enter, Update, Exit mode: process new data, update existing data, and remove useless data.

          • Dynamic update: monitor data changes, re-execute binding and rendering processes.

          var svg = d3.select("svg"),
              data = [4, 8, 15, 16, 23, 42];
          
          // Initialize the bar chart
          var bars = svg.selectAll("rect").data(data);
          
          bars.enter().append("rect")
              .attr("x", function(d, i) { return i * 50; })
              .attr("y", function(d) { return 300 - d; })
              .attr("width", 40)
              .attr("height", function(d) { return d; });
          
          // Dynamic Updates
          setInterval(function() {
            data = data.map(function(d) { return Math.max(0, Math.random() * 50); });
          
            bars.data(data)
              .transition()
              .duration(500)
              .attr("y", function(d) { return 300 - d; })
              .attr("height", function(d) { return d; });
          }, 2000);
          

          Complex charts and advanced techniques

          Advanced techniques:

          • Use D3 component libraries: Libraries like D3fc provide advanced chart components to simplify the creation of complex charts.

          • Animation and transition: Use the transition() method to create smooth animation effects.

          • Interactivity: Add click and hover events, and use brush and zoom functions to enhance user experience.

          • Performance optimization: Use selectAll(), data(), enter(), exit() reasonably to reduce DOM operations, and use requestAnimationFrame() to optimize animation performance.

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          Why should you place  tags at the bottom of the ? Why should you place tags at the bottom of the ? Jul 02, 2025 am 01:22 AM

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          JavaScript vs. Java: A Comprehensive Comparison for Developers JavaScript vs. Java: A Comprehensive Comparison for Developers Jun 20, 2025 am 12:21 AM

          JavaScriptispreferredforwebdevelopment,whileJavaisbetterforlarge-scalebackendsystemsandAndroidapps.1)JavaScriptexcelsincreatinginteractivewebexperienceswithitsdynamicnatureandDOMmanipulation.2)Javaoffersstrongtypingandobject-orientedfeatures,idealfor

          JavaScript: Exploring Data Types for Efficient Coding JavaScript: Exploring Data Types for Efficient Coding Jun 20, 2025 am 12:46 AM

          JavaScripthassevenfundamentaldatatypes:number,string,boolean,undefined,null,object,andsymbol.1)Numbersuseadouble-precisionformat,usefulforwidevaluerangesbutbecautiouswithfloating-pointarithmetic.2)Stringsareimmutable,useefficientconcatenationmethodsf

          What is event bubbling and capturing in the DOM? What is event bubbling and capturing in the DOM? Jul 02, 2025 am 01:19 AM

          Event capture and bubble are two stages of event propagation in DOM. Capture is from the top layer to the target element, and bubble is from the target element to the top layer. 1. Event capture is implemented by setting the useCapture parameter of addEventListener to true; 2. Event bubble is the default behavior, useCapture is set to false or omitted; 3. Event propagation can be used to prevent event propagation; 4. Event bubbling supports event delegation to improve dynamic content processing efficiency; 5. Capture can be used to intercept events in advance, such as logging or error processing. Understanding these two phases helps to accurately control the timing and how JavaScript responds to user operations.

          What's the Difference Between Java and JavaScript? What's the Difference Between Java and JavaScript? Jun 17, 2025 am 09:17 AM

          Java and JavaScript are different programming languages. 1.Java is a statically typed and compiled language, suitable for enterprise applications and large systems. 2. JavaScript is a dynamic type and interpreted language, mainly used for web interaction and front-end development.

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