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The library includes many different charts that cover a wide range of data visualisation needs. Each chart is designed to be responsive, customisable, and easy to integrate into your projects.\n\n## Update\nDemo's added to each component\n\n## Installation\n\nTo install the InfoCharts library, run the following command:\n\n```bash\nnpm install infocharts\n```\n\n\n## How to import\n```bash\nimport { \n    DoughnutChart, \n    DumbbellChart, \n    ComparisonGraph, \n    HorizontalBar, \n    HorizontalList, \n    StackedAreaChart, \n    SplineAreaChart, \n    PieChart,\n    RiskRating, \n    HeatMap, \n    StackedRow, \n    StackedBarChart, \n    StackedVenn,\n    BenchmarkChart, \n    WaffleChart,\n    SparkBar,\n    SparkHorizontalBar,\n    SparkStackedBar,\n    SparkLine,\n    USMap,\n    InTen\n} from 'infocharts';\n\nimport 'infocharts/styles/infocharts.css'; \n\n\n```\n\n\n\n## Available Charts\n\nHere’s a list of all the chart components available in the **InfoCharts** library along with a brief description of each.\n\n### 1. Doughnut Chart\n\nThe `DoughnutChart` component is perfect for showing proportional data. You can easily customise the colors, size, and label of each section of the doughnut chart.\n\n#### [Demo](https://codesandbox.io/p/sandbox/qxmnc2)\n\n#### Example Usage:\n```tsx\n<DoughnutChart\n    title=\"Apples\"\n    summary=\"56% of the total fruit production in the first quarter\"\n    value={56}\n    size={300}\n    bgColor=\"blue\"         // Background color of the doughnut chart\n    fgColor=\"orange\"       // Foreground color (the filled portion of the chart)\n    background=\"white\"     // Background color of the container\n    textColor=\"black\"      // Text color for the title and summary\n    labelColor=\"black\"     // Color of the percentage label\n    percentageTextSize={3.5} // Size of the percentage text in rem\n    titleTextSize={1.8}      // Size of the chart title text in rem\n    summaryTextSize={0.8}    // Size of the summary text in rem\n/>\n```\n\n### 2. Dumbbell Chart\n\nThe `DumbbellChart` component is great for comparing two data points across multiple categories, such as changes over time or comparisons between groups.\n\n#### [Demo](https://codesandbox.io/p/sandbox/sr3gxs)\n\n#### Example Usage:\n```tsx\n<DumbbellChart\n    data={[\n        { fruit: \"Apples\", series1: 50, series2: 80 },\n        { fruit: \"Bananas\", series1: 40, series2: 70 },\n        { fruit: \"Oranges\", series1: 30, series2: 60 },\n        { fruit: \"Grapes\", series1: 10, series2: 20 },\n        { fruit: \"Pears\", series1: 20, series2: 50 },\n        { fruit: \"Peaches\", series1: 40, series2: 50 }\n    ]}\n    colors={[\"rgba(0, 123, 255, 0.7)\", \"rgba(255, 0, 123, 0.7)\"]}\n    height={400}\n    width={500}\n    background=\"#fff\"\n    foreground=\"#000\"\n    labelColor=\"#000\"\n/>\n```\n\n### 3. Comparison Chart\n\nThe `ComparisonChart` allows you to compare different categories and their respective values.\n\n#### [Demo](https://codesandbox.io/p/sandbox/xcnzqn)\n\n#### Example Usage:\n```tsx\n<ComparisonGraph\n    title=\"Comparison Graph Example\"\n    summary=\"This graph compares different fruit production.\"\n    ariaDescription=\"A Comparison graph comparing the production of various fruits.\"\n    labelColor=\"#fff\"\n    background=\"#f0f0f0\"\n    foreground=\"#333\"\n    data={[\n        { value: 80, color: \"#007bff\" },\n        { value: 60, color: \"#ff007b\" },\n        { value: 90, color: \"#00ff7b\" },\n        { value: 10, color: \"#ffdd00\" }\n    ]}\n/>\n```\n\n### 4. Horizontal Bar Chart\n\nThe `HorizontalBarChart` is ideal for displaying data as horizontal bars, where each bar represents a category.\n\n#### [Demo](https://codesandbox.io/p/sandbox/t8vsgx)\n\n\n#### Example Usage:\n```tsx\n<HorizontalBar\n    title=\"Fruit Production Comparison\"\n    background=\"#0c263eff\"\n    foreground=\"#ffffff\"\n    labelColor=\"#ffffff\"\n    summary=\"A horizontal bar chart comparing the production of various fruits in 2023.\"\n    year={2023}\n    valueType=\"%\"\n    items={[\n        { name: \"Apples\", value: 50, color: \"#007bff\" },\n        { name: \"Bananas\", value: 30, color: \"#28a745\" },\n        { name: \"Oranges\", value: 20, color: \"#ffc107\" },\n        { name: \"Grapes\", value: 15, color: \"#17a2b8\" }\n    ]}\n    colorSeries={[\"#ff5733\", \"#c70039\", \"#900c3f\", \"#581845\"]}\n/>\n\n```\n\n### 5. Horizontal List\n\nThe `HorizontalList` allows you to visualize a list of categories with values, each represented by a horizontal bar.\n\n#### [Demo](https://codesandbox.io/p/sandbox/tsl6k7)\n\n#### Example Usage:\n```tsx\n<HorizontalList\n    title=\"Fruit Consumption Comparison\"\n    background=\"#0c263eff\"\n    foreground=\"#ffffff\"\n    summary=\"A horizontal list comparing the consumption of various fruits in 2023.\"\n    labelColor=\"#ffffff\"\n    valueType=\"%\"\n    items={[\n        { name: \"Apples\", value: 50, color: \"#ff6347\" },\n        { name: \"Bananas\", value: 30, color: \"#4682b4\" },\n        { name: \"Oranges\", value: 20, color: \"#32cd32\" },\n        { name: \"Grapes\", value: 15, color: \"#dda0dd\" }\n    ]}\n    valueColor=\"#fff\"\n/>\n```\n\n### 6. Stacked Area Chart\n\nThe `StackedAreaChart` allows you to display multiple data series stacked on top of one another in an area chart format.\n\n#### [Demo](https://codesandbox.io/p/sandbox/kh6fj7)\n\n#### Example Usage:\n```tsx\n<StackedAreaChart\n    data={[\n        { month: \"Jan\", series1: 30, series2: 50, series3: 20 },\n        { month: \"Feb\", series1: 40, series2: 60, series3: 30 },\n        { month: \"Mar\", series1: 35, series2: 55, series3: 25 },\n        { month: \"Apr\", series1: 50, series2: 70, series3: 40 },\n        { month: \"May\", series1: 60, series2: 80, series3: 50 }\n    ]}\n    width={800}\n    height={400}\n    colors={[\"#ff6347\", \"#4682b4\", \"#32cd32\"]}\n    background=\"#f5f5f5\"\n    labelColor=\"#333\"\n    axisColor=\"#000\"\n    lineColor=\"#305b89\"\n    // hideAxis={true}\n/>\n```\n\n### 7. Spline Area Chart\n\nThe `SplineAreaChart` provides smooth, curved lines connecting data points in an area chart.\n\n#### [Demo](https://codesandbox.io/p/sandbox/jf29dm)\n\n#### Example Usage:\n```tsx\n<SplineAreaChart\n    data={[30, 40, 35, 50, 45, 60, 55]}\n    labels={[\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\"]}\n    width={800}\n    height={400}\n    fillColor=\"rgba(70, 130, 180, 0.3)\"\n    strokeColor=\"rgba(70, 130, 180, 1)\"\n    background=\"#f9f9f9\"\n    labelColor=\"#333\"\n    lineColor=\"#ccc\"\n/>\n\n```\n\n### 8. Pie Chart \n\nThe `PieChart` is a circular chart that divides data into slices to illustrate numerical proportions.\n\n\n#### [Demo](https://codesandbox.io/p/sandbox/pie-chart-2glwtp)\n\n#### Example Usage:\n```tsx\n<PieGraph\n    title=\"Fruit Production\"\n    summary=\"A pie chart showing the distribution of fruit production in the first quarter.\"\n    source=\"Agriculture Department\"\n    data={[\n        { name: 'Apples', value: 50, color: '#ff6347' },\n        { name: 'Bananas', value: 30, color: '#4682b4' },\n        { name: 'Oranges', value: 20, color: '#32cd32' }\n    ]}\n    background=\"#fff\"\n    foreground=\"#000\"\n    showTable={true}\n    labelColor=\"black\"\n    labelSize=\"0.15rem\"\n    isFloat={false}\n    tableName=\"Fruit\"\n    tableValue=\"Production\"\n    patterns={['dots', 'lines', 'stars']}\n    isPattern={true}\n/>\n```\n\n\n### 9. Risk Matrix\n\nThe `RiskMatrix` displays a matrix to visually represent risk levels across categories like impact and likelihood.\n\n#### [Demo](https://codesandbox.io/p/sandbox/qhz6rp)\n\n#### Example Usage:\n```tsx\n<RiskRating\n    riskData={[\n        ['low', 'low', 'low', 'medium', 'high'], // Impact 1 (low)\n        ['low', 'low', 'medium', 'high', 'high'], // Impact 2\n        ['low', 'medium', 'medium', 'high', 'high'], // Impact 3\n        ['medium', 'medium', 'high', 'high', 'high'], // Impact 4\n        ['medium', 'high', 'high', 'high', 'high'], // Impact 5 (high)\n    ]}\n    likelihoodLabels={['Rare', 'Unlikely', 'Possible', 'Likely', 'Almost Certain']}\n    impactLabels={['Insignificant', 'Minor', 'Moderate', 'Major', 'Catastrophic']}\n    background={'#fff'} // Pass background color\n    foreground={'#000'} // Pass text color for matrix cells\n    labelColor={['#fff','#000','#000']} // Array of colors for axis labels\n    colors={['red', 'orange', 'yellow']} // Colors for low, medium, and high risk levels\n/>\n```\n\n### 10. Heat Map\n\nThe `HeatMap` allows you to visualise data through variations in coloring, with a focus on grid-based data.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-heatmap-zrtsd9)\n\n#### Example Usage:\n```tsx\n<HeatMap\n    data={[\n        [30, 50, 70, 90],\n        [40, 60, 80, 100],\n        [20, 40, 60, 80]\n    ]}\n    months={['January', 'February', 'March', 'April']}\n    rowLabels={['Category 1', 'Category 2', 'Category 3']}\n    background=\"#fff\"\n    labelColor=\"#000\"\n    valueColor=\"#fff\"\n/>\n```\n\n### 11. Stacked Row Chart\n\nThe `StackedRow` chart represents each row as a stacked set of values, making it perfect for comparing parts of a whole.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-stackedrowchart-4rdcqv)\n\n#### Example Usage:\n```tsx\n<StackedRow\n    data={[\n        { description: 'Category 1', segments: [\n                { value: 10, color: '#4682b4' },\n                { value: 20, color: '#ff6347' },\n                { value: 30, color: '#32cd32' },\n                { value: 25, color: '#dda0dd' },\n                { value: 15, color: '#ffa500' }\n            ] },\n        { description: 'Category 2', segments: [\n                { value: 20, color: '#4682b4' },\n                { value: 15, color: '#ff6347' },\n                { value: 25, color: '#32cd32' },\n                { value: 20, color: '#dda0dd' },\n                { value: 20, color: '#ffa500' }\n            ] },\n        { description: 'Category 3', segments: [\n                { value: 30, color: '#4682b4' },\n                { value: 20, color: '#ff6347' },\n                { value: 10, color: '#32cd32' },\n                { value: 25, color: '#dda0dd' },\n                { value: 15, color: '#ffa500' }\n            ] }\n    ]}\n    legend={[\n        { label: 'Segment 1', color: '#4682b4' },\n        { label: 'Segment 2', color: '#ff6347' },\n        { label: 'Segment 3', color: '#32cd32' },\n        { label: 'Segment 4', color: '#dda0dd' },\n        { label: 'Segment 5', color: '#ffa500' }\n    ]}\n    background=\"#f9f9f9\"\n    textColor=\"#000\"\n    defaultColors={['#4682b4', '#ff6347', '#32cd32', '#dda0dd', '#ffa500']}\n    explanation=\"This chart shows the proportion of five different values for different categories.\"\n    barWidth=\"90%\"\n/>\n```\n\n### 12. Stacked Bar Chart\n\nThe `StackedBarChart` component stacks multiple series of data on top of each other within a single bar, allowing you to compare total and individual segment values.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-stackedbarchart-skjfx5)\n\n#### Example Usage:\n```tsx\n<StackedBarChart\n    data={[\n        { month: 'January', series1: 30, series2: 20, series3: 50 },\n        { month: 'February', series1: 40, series2: 30, series3: 30 },\n        { month: 'March', series1: 20, series2: 50, series3: 30 },\n    ]}\n    width={800}\n    height={400}\n    colors={[\"#ff6347\", \"#4682b4\", \"#32cd32\"]}\n    background=\"#f5f5f5\"\n    labelColor=\"#333\"\n    axisColor=\"#000\"\n/>\n```\n\n### 13. Benchmark Chart\n\nThe `BenchmarkChart` visualises actual performance versus target values with customisable bars and benchmarks.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-benchmark-n3z85r)\n\n#### Example Usage:\n```tsx\n<BenchmarkChart\n    data={[\n        { label: 'Category 1', actual: 70, benchmark: 80 },\n        { label: 'Category 2', actual: 50, benchmark: 60 },\n        { label: 'Category 3', actual: 90, benchmark: 85 },\n    ]}\n    title=\"Performance vs Target\"\n    background=\"#f9f9f9\"\n    foreground=\"#000\"\n    barColor=\"#4682b4\"\n    targetColor=\"#ff6347\"\n/>\n```\n\n### 14. Waffle Chart\n\nThe `WaffleChart` component represents data as a grid of icons, where each icon corresponds to a specific percentage of the total value.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-wafflechart-wg8ptq)\n\n#### Example Usage:\n```tsx\n<WaffleChart\n    title=\"Waffle Chart Example\"\n    percentage={75}\n    background=\"#f9f9f9\"\n    foreground=\"#000\"\n    description=\"This waffle chart shows a 75% completion rate.\"\n    activeColor=\"#4caf50\"\n    nonActiveColor=\"#ccc\"\n/>\n```\n\n\n### 15. Spark Bar\n\nThe `SparkBar` component is a minimalist bar graph typically used to show trends or variations over time. It’s perfect for dashboards and reports where space is limited, but you still want to convey key data points.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-sparkhorizontalbar-s3gzx4)\n\n#### Example Usage:\n```tsx\n<SparkBar\n    title=\"Sales Over Time\"\n    data={[\n        { item: 'January', value: 500 },\n        { item: 'February', value: 200 },\n        { item: 'March', value: 150 },\n        { item: 'April', value: 300 },\n        { item: 'May', value: 400 },\n        { item: 'June', value: 450 },\n        { item: 'July', value: 500 },\n    ]}\n    fillColor=\"blue\"\n    backgroundColor=\"#f9f9f9\"\n    foregroundColor=\"darkblue\"\n/>\n```\n\n### 16. Spark Horizontal Bar\n\nThe `SparkHorizontalBar` component is designed to display a single horizontal bar that shows a percentage of a value over a total. It’s great for representing a progress indicator or small trend overview.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-sparkbar-92qvfh)\n\n#### Example Usage:\n```tsx\n<SparkHorizontalBar\n    title=\"Sales Progress\"\n    total={100}\n    value={75}\n    suffix=\"%\"\n    barColor=\"green\"\n    background=\"#f9f9f9\"\n    foreground=\"darkgreen\"\n/>\n```\n\n### 17. Spark Stacked Bar\n\nThe `SparkStackedBar` component displays multiple segments stacked within a single bar, allowing you to compare parts of a whole. It’s compact and designed for high-level overviews.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-sparkstackedbar-phk7ld)\n\n#### Example Usage:\n```tsx\n<SparkStackedBar\n    title=\"Fruit Sales\"\n    total={100}\n    segments={[\n        { label: 'Segment 1', value: 40, color: 'green' },\n        { label: 'Segment 2', value: 30, color: 'blue' },\n        { label: 'Segment 3', value: 20, color: 'orange' },\n        { label: 'Segment 4', value: 10, color: 'red' }\n    ]}\n    background=\"#f0f0f0\"\n    foreground=\"darkblue\"\n    suffix=\"%\"\n/>\n```\n\n### 18. SparkLine\n\nThe SparkLine is a minimalist line graph designed to show trends over time. It’s often used in dashboards where space is tight, but you still need to convey data trends.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-sparkline-3h57km)\n\n\n#### Example Usage:\n```tsx\n<SparkLine\n    title=\"Revenue Growth\"\n    data={[\n        { item: 'January', value: 500 },\n        { item: 'February', value: 200 },\n        { item: 'March', value: 150 },\n        { item: 'April', value: 300 },\n        { item: 'May', value: 400 },\n        { item: 'June', value: 450 },\n        { item: 'July', value: 500 },\n    ]}\n    strokeColor=\"blue\"\n    strokeWidth={3}\n    backgroundColor=\"#f9f9f9\"\n    foregroundColor=\"darkblue\"\n/>\n```\n\n### 19. StackedVenn\n\nThe StackedVenn component is a responsive, nested chart \nthat maintains a square aspect ratio. It is designed to \nvisualise hierarchical data with overlapping sets, \nscaling dynamically based on the width of its container.\n\n#### [Demo](https://codesandbox.io/p/sandbox/reverent-roman-55d4hh)\n\n```tsx\n<StackedVenn\n    data={[\n        { label: 'Largest Set', value: 50, color: '#fca' },\n        { label: 'Medium Set', value: 30, color: '#deaa87' },\n        { label: 'Smallest Set', value: 10, color: '#c87137' }\n    ]}\n    // width=\"300px\"\n    minRadius={20}\n    maxRadius={80}\n    background=\"#f9f9f9\"\n    foreground=\"darkblue\"\n    textSize=\"0.5rem\"\n    colors={['#ff9999', '#99cc99', '#9999ff']}\n/>\n```\n\n### 20. USMap\n\nThe USMap component is a stateless, reusable map of the United States, designed to visually represent data using custom colors to indicate statistics. The map scales dynamically based on its container's width and is fully accessible.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-usmap-2lqzp8)\n\n```tsx\nconst colour_high = '#87CEEB';\nconst colour_medium = '#4682B4';\nconst colour_low = '#D32F2F';\n\nconst handleTooltip = (item) => {\n    console.log(item);\n};\n\n<USMap\n    regionData={{\n        AL: { fill: colour_medium, label: 'AL', stat: '47.32' },\n        AK: { fill: colour_low, label: 'AK', stat: '12.57' },\n        AZ: { fill: colour_medium, label: 'AZ', stat: '35.62' },\n        AR: { fill: colour_low, label: 'AR', stat: '26.14' },\n        CA: { fill: colour_high, label: 'CA', stat: '58.91' },\n        CO: { fill: colour_medium, label: 'CO', stat: '41.23' },\n        CT: { fill: colour_medium, label: 'CT', stat: '39.45' },\n        DE: { fill: colour_low, label: 'DE', stat: '28.11' },\n        FL: { fill: colour_high, label: 'FL', stat: '52.76' },\n        GA: { fill: colour_medium, label: 'GA', stat: '44.67' },\n        HI: { fill: colour_medium, label: 'HI', stat: '31.89' },\n        ID: { fill: colour_low, label: 'ID', stat: '23.54' },\n        IL: { fill: colour_high, label: 'IL', stat: '49.85' },\n        IN: { fill: colour_medium, label: 'IN', stat: '37.12' },\n        IA: { fill: colour_low, label: 'IA', stat: '29.74' },\n        KS: { fill: colour_medium, label: 'KS', stat: '34.29' },\n        KY: { fill: colour_medium, label: 'KY', stat: '40.58' },\n        LA: { fill: colour_low, label: 'LA', stat: '22.34' },\n        ME: { fill: colour_low, label: 'ME', stat: '18.93' },\n        MD: { fill: colour_high, label: 'MD', stat: '46.78' },\n        MA: { fill: colour_high, label: 'MA', stat: '50.24' },\n        MI: { fill: colour_medium, label: 'MI', stat: '42.16' },\n        MN: { fill: colour_medium, label: 'MN', stat: '39.84' },\n        MS: { fill: colour_low, label: 'MS', stat: '25.67' },\n        MO: { fill: colour_medium, label: 'MO', stat: '33.45' },\n        MT: { fill: colour_low, label: 'MT', stat: '21.54' },\n        NE: { fill: colour_medium, label: 'NE', stat: '30.75' },\n        NV: { fill: colour_high, label: 'NV', stat: '47.29' },\n        NH: { fill: colour_medium, label: 'NH', stat: '36.41' },\n        NJ: { fill: colour_high, label: 'NJ', stat: '51.18' },\n        NM: { fill: colour_low, label: 'NM', stat: '28.67' },\n        NY: { fill: colour_high, label: 'NY', stat: '53.21' },\n        NC: { fill: colour_medium, label: 'NC', stat: '43.89' },\n        ND: { fill: colour_low, label: 'ND', stat: '17.65' },\n        OH: { fill: colour_high, label: 'OH', stat: '45.92' },\n        OK: { fill: colour_medium, label: 'OK', stat: '32.58' },\n        OR: { fill: colour_medium, label: 'OR', stat: '38.67' },\n        PA: { fill: colour_high, label: 'PA', stat: '49.24' },\n        RI: { fill: colour_low, label: 'RI', stat: '29.83' },\n        SC: { fill: colour_medium, label: 'SC', stat: '37.45' },\n        SD: { fill: colour_low, label: 'SD', stat: '22.94' },\n        TN: { fill: colour_medium, label: 'TN', stat: '40.17' },\n        TX: { fill: colour_high, label: 'TX', stat: '53.89' },\n        UT: { fill: colour_medium, label: 'UT', stat: '31.72' },\n        VT: { fill: colour_low, label: 'VT', stat: '19.54' },\n        VA: { fill: colour_medium, label: 'VA', stat: '44.36' },\n        WA: { fill: colour_high, label: 'WA', stat: '50.98' },\n        WV: { fill: colour_low, label: 'WV', stat: '23.76' },\n        WI: { fill: colour_medium, label: 'WI', stat: '38.45' },\n        WY: { fill: colour_low, label: 'WY', stat: '16.78' }\n    }}\n    title=\"Population by state\"\n    summary=\"Marked by low, medium and high levels\"\n    showLegend={true}\n    legend={{\n        low: colour_low,\n        medium: colour_medium,\n        high: colour_high,\n    }}\n    // width=\"500px\"\n    // height=\"400px\"\n    background=\"darkblue\"\n    titleSize=\"2rem\"\n    summarySize=\"1.2rem\"\n    legendSize=\"1rem\"\n    iconSize=\"2rem\"\n    strokeColor=\"#fff\"\n    textColor=\"#fff\"\n    strokeWidth=\"1.8\"\n    nameColor=\"#fff\"\n    fnc={handleTooltip}\n/>\n```\n\n### 21. InTen Chart \n\nThe `InTen` component renders a responsive SVG visualisation where the width of a colored bar is controlled by the `value` prop, representing a percentage.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-inten-qsx5hn)\n\n#### Example Usage:\n```tsx\n<InTen\n    width=\"300px\"\n    foreground=\"lightblue\"\n    background=\"darkblue\"\n    value={15}\n    type={2} // option 1 or 2 \n/>\n\n<InTen\n    value={45} // percentage\n/>\n```\n\n### 22. ArcadeBar Chart\n\nThe `ArcadeBar` is a novelty component that looks strangely similar to a maze based arcade classic.  It's a fun graph. \n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-arcadebar-f7vy69)\n\n#### Example Usage:\n```tsx\n<ArcadeBar\n    data={{\n        title: 'Player High Scores',\n        // titleSize: 23,\n        // valueSize: 16,\n        // legendTextSize: 12,\n        // textColor: 'yellow',\n        // mazeColor: '#444',\n        // background: '#333',\n        // foreground: '#ff6f61',\n        // hideLegend: true,\n        series: {\n            values: [3143, 1984, 1512, 733],\n            // colors: ['#6b5b95', '#88b04b', '#92a8d1', '#f7cac9'],\n            legend: ['Jenny W', 'Rupert B', 'Gemma D', 'Edgar T'] \n        }\n    }}\n/>\n```\n\n### 23. History Chart\n\nThe `HistoryLine` component creates a customizable horizontal timeline with markers for key \nevents, each with a title and description. It supports custom colors, marker shapes, and \nflexible spacing.\n\n#### [Demo](https://codesandbox.io/p/sandbox/infocharts-historychart-xgrqrv)\n\n#### Example Usage:\n```tsx\n<HistoryChart\n    title=\"History Timeline\"\n    // titleSize={6}\n    // labelSize={1.9}\n    // defaultColor=\"darkBlue\"\n    // labelColor=\"yellow\"\n    // background=\"#000\"\n    // foreground=\"#fff\"\n    // timelineColor='red'\n    // spacing={40}\n    // lineHeight={1.6}\n    data={[\n        { title: '2003', description: 'The year we launched our first product', color: '#cc5200' },\n        { title: '2004', description: 'Expansion into new markets', color: '#0000cc' },\n        { title: '2005', description: 'Acquired by a larger company', color: '#cc0026' },\n        { title: '2006', description: 'Launched second product line', color: '#00cccc' },\n        { title: '2007', description: 'Entered international markets', color: '#cc9900' },\n        { title: '2008', description: 'Established major partnerships', color: '#660066' },\n        { title: '2009', description: 'Achieved record-breaking sales', color: '#cc5200' },\n    ]}\n/>\n```\n\n## License\n\nThis project is licensed under the MIT License.\n\n\n","readmeFilename":"README.md"}