Add 2 files
Browse files- README.md +7 -5
- index.html +566 -19
README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: static
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: ggplotgrahs-like-app
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emoji: 🐳
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colorFrom: blue
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colorTo: green
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sdk: static
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pinned: false
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tags:
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- deepsite
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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index.html
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<!
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<html>
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| 1 |
+
<!DOCTYPE html>
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| 2 |
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<html lang="en">
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| 3 |
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<head>
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| 4 |
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<meta charset="UTF-8">
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| 5 |
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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| 6 |
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<title>3D ggplot2 Simulator</title>
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| 7 |
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<script src="https://cdn.tailwindcss.com"></script>
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| 8 |
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<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
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| 9 |
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<script src="https://cdnjs.cloudflare.com/ajax/libs/PapaParse/5.3.0/papaparse.min.js"></script>
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| 10 |
+
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
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| 11 |
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<style>
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| 12 |
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.plot-container {
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| 13 |
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transition: all 0.3s ease;
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| 14 |
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box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05);
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| 15 |
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}
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| 16 |
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.plot-container:hover {
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| 17 |
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box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
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| 18 |
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}
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| 19 |
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.theme-btn {
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| 20 |
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transition: all 0.2s ease;
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| 21 |
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}
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| 22 |
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.theme-btn:hover {
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| 23 |
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transform: scale(1.05);
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| 24 |
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}
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| 25 |
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.control-panel {
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| 26 |
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backdrop-filter: blur(10px);
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| 27 |
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background-color: rgba(255, 255, 255, 0.85);
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| 28 |
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}
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| 29 |
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@media (max-width: 768px) {
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| 30 |
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.control-panel {
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| 31 |
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width: 100%;
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| 32 |
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margin-left: 0;
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| 33 |
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}
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| 34 |
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}
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| 35 |
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.file-upload-label {
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| 36 |
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transition: all 0.3s ease;
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| 37 |
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}
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| 38 |
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.file-upload-label:hover {
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| 39 |
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background-color: #4f46e5;
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| 40 |
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color: white;
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| 41 |
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}
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| 42 |
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</style>
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| 43 |
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</head>
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| 44 |
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<body class="bg-gray-50 min-h-screen">
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| 45 |
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<div class="container mx-auto px-4 py-8">
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| 46 |
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<!-- Header -->
|
| 47 |
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<header class="mb-8 text-center">
|
| 48 |
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<h1 class="text-4xl font-bold text-indigo-800 mb-2">3D ggplot2 Simulator</h1>
|
| 49 |
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<p class="text-lg text-gray-600">Create beautiful 3D visualizations with ggplot2-inspired aesthetics</p>
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| 50 |
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</header>
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| 51 |
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| 52 |
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<div class="flex flex-col lg:flex-row gap-8">
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| 53 |
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<!-- Main Visualization Area -->
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| 54 |
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<div class="flex-1">
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| 55 |
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<div class="bg-white rounded-xl p-4 plot-container" id="plot-container">
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| 56 |
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<div id="3d-plot" class="w-full h-[500px]"></div>
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| 57 |
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</div>
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| 58 |
+
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| 59 |
+
<!-- Sample Data Section -->
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| 60 |
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<div class="mt-6 bg-white rounded-xl p-6 shadow-sm">
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| 61 |
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<h3 class="text-xl font-semibold text-gray-800 mb-4">Try Sample Datasets</h3>
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| 62 |
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<div class="grid grid-cols-1 md:grid-cols-3 gap-4">
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| 63 |
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<button onclick="loadSampleData('iris')" class="bg-indigo-100 hover:bg-indigo-200 text-indigo-800 py-3 px-4 rounded-lg flex items-center justify-center transition-colors">
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| 64 |
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<i class="fas fa-seedling mr-2"></i> Iris Dataset
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| 65 |
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</button>
|
| 66 |
+
<button onclick="loadSampleData('mtcars')" class="bg-indigo-100 hover:bg-indigo-200 text-indigo-800 py-3 px-4 rounded-lg flex items-center justify-center transition-colors">
|
| 67 |
+
<i class="fas fa-car mr-2"></i> mtcars Dataset
|
| 68 |
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</button>
|
| 69 |
+
<button onclick="loadSampleData('random')" class="bg-indigo-100 hover:bg-indigo-200 text-indigo-800 py-3 px-4 rounded-lg flex items-center justify-center transition-colors">
|
| 70 |
+
<i class="fas fa-random mr-2"></i> Random Data
|
| 71 |
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</button>
|
| 72 |
+
</div>
|
| 73 |
+
</div>
|
| 74 |
+
</div>
|
| 75 |
+
|
| 76 |
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<!-- Control Panel -->
|
| 77 |
+
<div class="lg:w-80 control-panel p-6 rounded-xl shadow-sm sticky top-4">
|
| 78 |
+
<h2 class="text-xl font-bold text-gray-800 mb-6 flex items-center">
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| 79 |
+
<i class="fas fa-sliders-h mr-2 text-indigo-600"></i> Controls
|
| 80 |
+
</h2>
|
| 81 |
+
|
| 82 |
+
<!-- Data Upload -->
|
| 83 |
+
<div class="mb-6">
|
| 84 |
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<label class="block text-sm font-medium text-gray-700 mb-2">Upload Your Data (CSV)</label>
|
| 85 |
+
<label for="file-upload" class="file-upload-label cursor-pointer flex items-center justify-center border-2 border-dashed border-indigo-300 rounded-lg py-3 px-4 text-indigo-600 hover:bg-indigo-50">
|
| 86 |
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<i class="fas fa-cloud-upload-alt mr-2"></i>
|
| 87 |
+
<span>Choose File</span>
|
| 88 |
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<input id="file-upload" type="file" class="hidden" accept=".csv" onchange="handleFileUpload(event)">
|
| 89 |
+
</label>
|
| 90 |
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<div id="file-name" class="text-sm text-gray-500 mt-2"></div>
|
| 91 |
+
</div>
|
| 92 |
+
|
| 93 |
+
<!-- Variable Selection -->
|
| 94 |
+
<div class="mb-6">
|
| 95 |
+
<h3 class="text-sm font-medium text-gray-700 mb-3 flex items-center">
|
| 96 |
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<i class="fas fa-table mr-2"></i> Variable Mapping
|
| 97 |
+
</h3>
|
| 98 |
+
<div class="space-y-4">
|
| 99 |
+
<div>
|
| 100 |
+
<label class="block text-xs font-medium text-gray-500 mb-1">X Axis</label>
|
| 101 |
+
<select id="x-axis" class="w-full rounded-md border-gray-300 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 py-2 px-3 border">
|
| 102 |
+
<option value="">Select variable</option>
|
| 103 |
+
</select>
|
| 104 |
+
</div>
|
| 105 |
+
<div>
|
| 106 |
+
<label class="block text-xs font-medium text-gray-500 mb-1">Y Axis</label>
|
| 107 |
+
<select id="y-axis" class="w-full rounded-md border-gray-300 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 py-2 px-3 border">
|
| 108 |
+
<option value="">Select variable</option>
|
| 109 |
+
</select>
|
| 110 |
+
</div>
|
| 111 |
+
<div>
|
| 112 |
+
<label class="block text-xs font-medium text-gray-500 mb-1">Z Axis</label>
|
| 113 |
+
<select id="z-axis" class="w-full rounded-md border-gray-300 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 py-2 px-3 border">
|
| 114 |
+
<option value="">Select variable</option>
|
| 115 |
+
</select>
|
| 116 |
+
</div>
|
| 117 |
+
<div>
|
| 118 |
+
<label class="block text-xs font-medium text-gray-500 mb-1">Color By</label>
|
| 119 |
+
<select id="color-by" class="w-full rounded-md border-gray-300 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 py-2 px-3 border">
|
| 120 |
+
<option value="">None (single color)</option>
|
| 121 |
+
</select>
|
| 122 |
+
</div>
|
| 123 |
+
</div>
|
| 124 |
+
</div>
|
| 125 |
+
|
| 126 |
+
<!-- Plot Customization -->
|
| 127 |
+
<div class="mb-6">
|
| 128 |
+
<h3 class="text-sm font-medium text-gray-700 mb-3 flex items-center">
|
| 129 |
+
<i class="fas fa-paint-brush mr-2"></i> Plot Customization
|
| 130 |
+
</h3>
|
| 131 |
+
<div class="space-y-4">
|
| 132 |
+
<div>
|
| 133 |
+
<label class="block text-xs font-medium text-gray-500 mb-1">Plot Type</label>
|
| 134 |
+
<select id="plot-type" class="w-full rounded-md border-gray-300 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 py-2 px-3 border">
|
| 135 |
+
<option value="scatter">Scatter Plot</option>
|
| 136 |
+
<option value="surface">Surface Plot</option>
|
| 137 |
+
<option value="line">Line Plot</option>
|
| 138 |
+
</select>
|
| 139 |
+
</div>
|
| 140 |
+
<div>
|
| 141 |
+
<label class="block text-xs font-medium text-gray-500 mb-1">Point Size</label>
|
| 142 |
+
<input id="point-size" type="range" min="1" max="20" value="5" class="w-full">
|
| 143 |
+
</div>
|
| 144 |
+
<div>
|
| 145 |
+
<label class="block text-xs font-medium text-gray-500 mb-1">Opacity</label>
|
| 146 |
+
<input id="opacity" type="range" min="0.1" max="1" step="0.1" value="0.8" class="w-full">
|
| 147 |
+
</div>
|
| 148 |
+
</div>
|
| 149 |
+
</div>
|
| 150 |
+
|
| 151 |
+
<!-- Theme Selection -->
|
| 152 |
+
<div class="mb-6">
|
| 153 |
+
<h3 class="text-sm font-medium text-gray-700 mb-3 flex items-center">
|
| 154 |
+
<i class="fas fa-palette mr-2"></i> Color Theme
|
| 155 |
+
</h3>
|
| 156 |
+
<div class="grid grid-cols-3 gap-2">
|
| 157 |
+
<button onclick="setTheme('ggplot')" class="theme-btn bg-white border border-gray-200 rounded-md p-2 hover:border-indigo-400">
|
| 158 |
+
<div class="h-4 w-full bg-gradient-to-r from-blue-400 via-green-500 to-red-500 rounded-sm mb-1"></div>
|
| 159 |
+
<span class="text-xs">ggplot</span>
|
| 160 |
+
</button>
|
| 161 |
+
<button onclick="setTheme('viridis')" class="theme-btn bg-white border border-gray-200 rounded-md p-2 hover:border-indigo-400">
|
| 162 |
+
<div class="h-4 w-full bg-gradient-to-r from-purple-500 via-teal-500 to-yellow-500 rounded-sm mb-1"></div>
|
| 163 |
+
<span class="text-xs">Viridis</span>
|
| 164 |
+
</button>
|
| 165 |
+
<button onclick="setTheme('plasma')" class="theme-btn bg-white border border-gray-200 rounded-md p-2 hover:border-indigo-400">
|
| 166 |
+
<div class="h-4 w-full bg-gradient-to-r from-purple-700 via-pink-500 to-yellow-300 rounded-sm mb-1"></div>
|
| 167 |
+
<span class="text-xs">Plasma</span>
|
| 168 |
+
</button>
|
| 169 |
+
<button onclick="setTheme('magma')" class="theme-btn bg-white border border-gray-200 rounded-md p-2 hover:border-indigo-400">
|
| 170 |
+
<div class="h-4 w-full bg-gradient-to-r from-black via-red-900 to-yellow-200 rounded-sm mb-1"></div>
|
| 171 |
+
<span class="text-xs">Magma</span>
|
| 172 |
+
</button>
|
| 173 |
+
<button onclick="setTheme('cividis')" class="theme-btn bg-white border border-gray-200 rounded-md p-2 hover:border-indigo-400">
|
| 174 |
+
<div class="h-4 w-full bg-gradient-to-r from-blue-900 via-yellow-300 to-yellow-100 rounded-sm mb-1"></div>
|
| 175 |
+
<span class="text-xs">Cividis</span>
|
| 176 |
+
</button>
|
| 177 |
+
<button onclick="setTheme('custom')" class="theme-btn bg-white border border-gray-200 rounded-md p-2 hover:border-indigo-400">
|
| 178 |
+
<div class="h-4 w-full bg-gradient-to-r from-indigo-500 via-purple-500 to-pink-500 rounded-sm mb-1"></div>
|
| 179 |
+
<span class="text-xs">Custom</span>
|
| 180 |
+
</button>
|
| 181 |
+
</div>
|
| 182 |
+
</div>
|
| 183 |
+
|
| 184 |
+
<!-- Update Button -->
|
| 185 |
+
<button onclick="updatePlot()" class="w-full bg-indigo-600 hover:bg-indigo-700 text-white py-2 px-4 rounded-md flex items-center justify-center transition-colors">
|
| 186 |
+
<i class="fas fa-sync-alt mr-2"></i> Update Visualization
|
| 187 |
+
</button>
|
| 188 |
+
|
| 189 |
+
<!-- Export Options -->
|
| 190 |
+
<div class="mt-6 pt-4 border-t border-gray-200">
|
| 191 |
+
<h3 class="text-sm font-medium text-gray-700 mb-3 flex items-center">
|
| 192 |
+
<i class="fas fa-download mr-2"></i> Export
|
| 193 |
+
</h3>
|
| 194 |
+
<div class="grid grid-cols-2 gap-2">
|
| 195 |
+
<button onclick="exportPNG()" class="bg-gray-100 hover:bg-gray-200 text-gray-800 py-2 px-3 rounded-md text-sm flex items-center justify-center">
|
| 196 |
+
<i class="fas fa-image mr-2"></i> PNG
|
| 197 |
+
</button>
|
| 198 |
+
<button onclick="exportSVG()" class="bg-gray-100 hover:bg-gray-200 text-gray-800 py-2 px-3 rounded-md text-sm flex items-center justify-center">
|
| 199 |
+
<i class="fas fa-file-image mr-2"></i> SVG
|
| 200 |
+
</button>
|
| 201 |
+
</div>
|
| 202 |
+
</div>
|
| 203 |
+
</div>
|
| 204 |
+
</div>
|
| 205 |
+
</div>
|
| 206 |
+
|
| 207 |
+
<script>
|
| 208 |
+
// Global variables
|
| 209 |
+
let currentData = [];
|
| 210 |
+
let currentColumns = [];
|
| 211 |
+
let currentTheme = 'ggplot';
|
| 212 |
+
|
| 213 |
+
// Initialize with sample data
|
| 214 |
+
document.addEventListener('DOMContentLoaded', function() {
|
| 215 |
+
loadSampleData('iris');
|
| 216 |
+
});
|
| 217 |
+
|
| 218 |
+
// Load sample datasets
|
| 219 |
+
function loadSampleData(dataset) {
|
| 220 |
+
let data, columns;
|
| 221 |
+
|
| 222 |
+
switch(dataset) {
|
| 223 |
+
case 'iris':
|
| 224 |
+
data = [
|
| 225 |
+
{sepal_length: 5.1, sepal_width: 3.5, petal_length: 1.4, petal_width: 0.2, species: 'setosa'},
|
| 226 |
+
{sepal_length: 4.9, sepal_width: 3.0, petal_length: 1.4, petal_width: 0.2, species: 'setosa'},
|
| 227 |
+
{sepal_length: 4.7, sepal_width: 3.2, petal_length: 1.3, petal_width: 0.2, species: 'setosa'},
|
| 228 |
+
{sepal_length: 6.3, sepal_width: 3.3, petal_length: 6.0, petal_width: 2.5, species: 'virginica'},
|
| 229 |
+
{sepal_length: 5.8, sepal_width: 2.7, petal_length: 5.1, petal_width: 1.9, species: 'virginica'},
|
| 230 |
+
{sepal_length: 7.1, sepal_width: 3.0, petal_length: 5.9, petal_width: 2.1, species: 'virginica'},
|
| 231 |
+
{sepal_length: 6.3, sepal_width: 2.9, petal_length: 5.6, petal_width: 1.8, species: 'virginica'},
|
| 232 |
+
{sepal_length: 6.5, sepal_width: 3.0, petal_length: 5.8, petal_width: 2.2, species: 'virginica'},
|
| 233 |
+
{sepal_length: 7.6, sepal_width: 3.0, petal_length: 6.6, petal_width: 2.1, species: 'virginica'},
|
| 234 |
+
{sepal_length: 4.9, sepal_width: 2.5, petal_length: 4.5, petal_width: 1.7, species: 'versicolor'},
|
| 235 |
+
{sepal_length: 7.3, sepal_width: 2.9, petal_length: 6.3, petal_width: 1.8, species: 'virginica'},
|
| 236 |
+
{sepal_length: 6.7, sepal_width: 2.5, petal_length: 5.8, petal_width: 1.8, species: 'virginica'},
|
| 237 |
+
{sepal_length: 7.2, sepal_width: 3.6, petal_length: 6.1, petal_width: 2.5, species: 'virginica'},
|
| 238 |
+
{sepal_length: 6.5, sepal_width: 3.2, petal_length: 5.1, petal_width: 2.0, species: 'virginica'},
|
| 239 |
+
{sepal_length: 6.4, sepal_width: 2.7, petal_length: 5.3, petal_width: 1.9, species: 'virginica'},
|
| 240 |
+
{sepal_length: 6.8, sepal_width: 3.0, petal_length: 5.5, petal_width: 2.1, species: 'virginica'},
|
| 241 |
+
{sepal_length: 5.7, sepal_width: 2.5, petal_length: 5.0, petal_width: 2.0, species: 'virginica'},
|
| 242 |
+
{sepal_length: 5.8, sepal_width: 2.8, petal_length: 5.1, petal_width: 2.4, species: 'virginica'},
|
| 243 |
+
{sepal_length: 6.4, sepal_width: 3.2, petal_length: 5.3, petal_width: 2.3, species: 'virginica'},
|
| 244 |
+
{sepal_length: 6.5, sepal_width: 3.0, petal_length: 5.5, petal_width: 1.8, species: 'virginica'},
|
| 245 |
+
{sepal_length: 7.7, sepal_width: 3.8, petal_length: 6.7, petal_width: 2.2, species: 'virginica'},
|
| 246 |
+
{sepal_length: 7.7, sepal_width: 2.6, petal_length: 6.9, petal_width: 2.3, species: 'virginica'},
|
| 247 |
+
{sepal_length: 6.0, sepal_width: 2.2, petal_length: 5.0, petal_width: 1.5, species: 'virginica'},
|
| 248 |
+
{sepal_length: 6.9, sepal_width: 3.2, petal_length: 5.7, petal_width: 2.3, species: 'virginica'},
|
| 249 |
+
{sepal_length: 5.6, sepal_width: 2.8, petal_length: 4.9, petal_width: 2.0, species: 'virginica'},
|
| 250 |
+
{sepal_length: 7.7, sepal_width: 2.8, petal_length: 6.7, petal_width: 2.0, species: 'virginica'},
|
| 251 |
+
{sepal_length: 6.3, sepal_width: 2.7, petal_length: 4.9, petal_width: 1.8, species: 'virginica'},
|
| 252 |
+
{sepal_length: 6.7, sepal_width: 3.3, petal_length: 5.7, petal_width: 2.1, species: 'virginica'},
|
| 253 |
+
{sepal_length: 7.2, sepal_width: 3.2, petal_length: 6.0, petal_width: 1.8, species: 'virginica'},
|
| 254 |
+
{sepal_length: 6.2, sepal_width: 2.8, petal_length: 4.8, petal_width: 1.8, species: 'virginica'},
|
| 255 |
+
{sepal_length: 6.1, sepal_width: 3.0, petal_length: 4.9, petal_width: 1.8, species: 'virginica'},
|
| 256 |
+
{sepal_length: 6.4, sepal_width: 2.8, petal_length: 5.6, petal_width: 2.1, species: 'virginica'},
|
| 257 |
+
{sepal_length: 7.2, sepal_width: 3.0, petal_length: 5.8, petal_width: 1.6, species: 'virginica'},
|
| 258 |
+
{sepal_length: 7.4, sepal_width: 2.8, petal_length: 6.1, petal_width: 1.9, species: 'virginica'},
|
| 259 |
+
{sepal_length: 7.9, sepal_width: 3.8, petal_length: 6.4, petal_width: 2.0, species: 'virginica'},
|
| 260 |
+
{sepal_length: 6.4, sepal_width: 2.8, petal_length: 5.6, petal_width: 2.2, species: 'virginica'},
|
| 261 |
+
{sepal_length: 6.3, sepal_width: 2.8, petal_length: 5.1, petal_width: 1.5, species: 'virginica'},
|
| 262 |
+
{sepal_length: 6.1, sepal_width: 2.6, petal_length: 5.6, petal_width: 1.4, species: 'virginica'},
|
| 263 |
+
{sepal_length: 7.7, sepal_width: 3.0, petal_length: 6.1, petal_width: 2.3, species: 'virginica'},
|
| 264 |
+
{sepal_length: 6.3, sepal_width: 3.4, petal_length: 5.6, petal_width: 2.4, species: 'virginica'},
|
| 265 |
+
{sepal_length: 6.4, sepal_width: 3.1, petal_length: 5.5, petal_width: 1.8, species: 'virginica'},
|
| 266 |
+
{sepal_length: 6.0, sepal_width: 3.0, petal_length: 4.8, petal_width: 1.8, species: 'virginica'},
|
| 267 |
+
{sepal_length: 6.9, sepal_width: 3.1, petal_length: 5.4, petal_width: 2.1, species: 'virginica'},
|
| 268 |
+
{sepal_length: 6.7, sepal_width: 3.1, petal_length: 5.6, petal_width: 2.4, species: 'virginica'},
|
| 269 |
+
{sepal_length: 6.9, sepal_width: 3.1, petal_length: 5.1, petal_width: 2.3, species: 'virginica'},
|
| 270 |
+
{sepal_length: 5.8, sepal_width: 2.7, petal_length: 5.1, petal_width: 1.9, species: 'virginica'},
|
| 271 |
+
{sepal_length: 6.8, sepal_width: 3.2, petal_length: 5.9, petal_width: 2.3, species: 'virginica'},
|
| 272 |
+
{sepal_length: 6.7, sepal_width: 3.3, petal_length: 5.7, petal_width: 2.5, species: 'virginica'},
|
| 273 |
+
{sepal_length: 6.7, sepal_width: 3.0, petal_length: 5.2, petal_width: 2.3, species: 'virginica'},
|
| 274 |
+
{sepal_length: 6.3, sepal_width: 2.5, petal_length: 5.0, petal_width: 1.9, species: 'virginica'},
|
| 275 |
+
{sepal_length: 6.5, sepal_width: 3.0, petal_length: 5.2, petal_width: 2.0, species: 'virginica'},
|
| 276 |
+
{sepal_length: 6.2, sepal_width: 3.4, petal_length: 5.4, petal_width: 2.3, species: 'virginica'},
|
| 277 |
+
{sepal_length: 5.9, sepal_width: 3.0, petal_length: 5.1, petal_width: 1.8, species: 'virginica'}
|
| 278 |
+
];
|
| 279 |
+
columns = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species'];
|
| 280 |
+
break;
|
| 281 |
+
|
| 282 |
+
case 'mtcars':
|
| 283 |
+
data = [
|
| 284 |
+
{mpg: 21.0, cyl: 6, disp: 160, hp: 110, drat: 3.90, wt: 2.620, qsec: 16.46, vs: 0, am: 1, gear: 4, carb: 4, model: "Mazda RX4"},
|
| 285 |
+
{mpg: 21.0, cyl: 6, disp: 160, hp: 110, drat: 3.90, wt: 2.875, qsec: 17.02, vs: 0, am: 1, gear: 4, carb: 4, model: "Mazda RX4 Wag"},
|
| 286 |
+
{mpg: 22.8, cyl: 4, disp: 108, hp: 93, drat: 3.85, wt: 2.320, qsec: 18.61, vs: 1, am: 1, gear: 4, carb: 1, model: "Datsun 710"},
|
| 287 |
+
{mpg: 21.4, cyl: 6, disp: 258, hp: 110, drat: 3.08, wt: 3.215, qsec: 19.44, vs: 1, am: 0, gear: 3, carb: 1, model: "Hornet 4 Drive"},
|
| 288 |
+
{mpg: 18.7, cyl: 8, disp: 360, hp: 175, drat: 3.15, wt: 3.440, qsec: 17.02, vs: 0, am: 0, gear: 3, carb: 2, model: "Hornet Sportabout"},
|
| 289 |
+
{mpg: 18.1, cyl: 6, disp: 225, hp: 105, drat: 2.76, wt: 3.460, qsec: 20.22, vs: 1, am: 0, gear: 3, carb: 1, model: "Valiant"},
|
| 290 |
+
{mpg: 14.3, cyl: 8, disp: 360, hp: 245, drat: 3.21, wt: 3.570, qsec: 15.84, vs: 0, am: 0, gear: 3, carb: 4, model: "Duster 360"},
|
| 291 |
+
{mpg: 24.4, cyl: 4, disp: 146.7, hp: 62, drat: 3.69, wt: 3.190, qsec: 20.00, vs: 1, am: 0, gear: 4, carb: 2, model: "Merc 240D"},
|
| 292 |
+
{mpg: 22.8, cyl: 4, disp: 140.8, hp: 95, drat: 3.92, wt: 3.150, qsec: 22.90, vs: 1, am: 0, gear: 4, carb: 2, model: "Merc 230"},
|
| 293 |
+
{mpg: 19.2, cyl: 6, disp: 167.6, hp: 123, drat: 3.92, wt: 3.440, qsec: 18.30, vs: 1, am: 0, gear: 4, carb: 4, model: "Merc 280"},
|
| 294 |
+
{mpg: 17.8, cyl: 6, disp: 167.6, hp: 123, drat: 3.92, wt: 3.440, qsec: 18.90, vs: 1, am: 0, gear: 4, carb: 4, model: "Merc 280C"},
|
| 295 |
+
{mpg: 16.4, cyl: 8, disp: 275.8, hp: 180, drat: 3.07, wt: 4.070, qsec: 17.40, vs: 0, am: 0, gear: 3, carb: 3, model: "Merc 450SE"},
|
| 296 |
+
{mpg: 17.3, cyl: 8, disp: 275.8, hp: 180, drat: 3.07, wt: 3.730, qsec: 17.60, vs: 0, am: 0, gear: 3, carb: 3, model: "Merc 450SL"},
|
| 297 |
+
{mpg: 15.2, cyl: 8, disp: 275.8, hp: 180, drat: 3.07, wt: 3.780, qsec: 18.00, vs: 0, am: 0, gear: 3, carb: 3, model: "Merc 450SLC"},
|
| 298 |
+
{mpg: 10.4, cyl: 8, disp: 472, hp: 205, drat: 2.93, wt: 5.250, qsec: 17.98, vs: 0, am: 0, gear: 3, carb: 4, model: "Cadillac Fleetwood"},
|
| 299 |
+
{mpg: 10.4, cyl: 8, disp: 460, hp: 215, drat: 3.00, wt: 5.424, qsec: 17.82, vs: 0, am: 0, gear: 3, carb: 4, model: "Lincoln Continental"},
|
| 300 |
+
{mpg: 14.7, cyl: 8, disp: 440, hp: 230, drat: 3.23, wt: 5.345, qsec: 17.42, vs: 0, am: 0, gear: 3, carb: 4, model: "Chrysler Imperial"},
|
| 301 |
+
{mpg: 32.4, cyl: 4, disp: 78.7, hp: 66, drat: 4.08, wt: 2.200, qsec: 19.47, vs: 1, am: 1, gear: 4, carb: 1, model: "Fiat 128"},
|
| 302 |
+
{mpg: 30.4, cyl: 4, disp: 75.7, hp: 52, drat: 4.93, wt: 1.615, qsec: 18.52, vs: 1, am: 1, gear: 4, carb: 2, model: "Honda Civic"},
|
| 303 |
+
{mpg: 33.9, cyl: 4, disp: 71.1, hp: 65, drat: 4.22, wt: 1.835, qsec: 19.90, vs: 1, am: 1, gear: 4, carb: 1, model: "Toyota Corolla"},
|
| 304 |
+
{mpg: 21.5, cyl: 4, disp: 120.1, hp: 97, drat: 3.70, wt: 2.465, qsec: 20.01, vs: 1, am: 0, gear: 3, carb: 1, model: "Toyota Corona"},
|
| 305 |
+
{mpg: 15.5, cyl: 8, disp: 318, hp: 150, drat: 2.76, wt: 3.520, qsec: 16.87, vs: 0, am: 0, gear: 3, carb: 2, model: "Dodge Challenger"},
|
| 306 |
+
{mpg: 15.2, cyl: 8, disp: 304, hp: 150, drat: 3.15, wt: 3.435, qsec: 17.30, vs: 0, am: 0, gear: 3, carb: 2, model: "AMC Javelin"},
|
| 307 |
+
{mpg: 13.3, cyl: 8, disp: 350, hp: 245, drat: 3.73, wt: 3.840, qsec: 15.41, vs: 0, am: 0, gear: 3, carb: 4, model: "Camaro Z28"},
|
| 308 |
+
{mpg: 19.2, cyl: 8, disp: 400, hp: 175, drat: 3.08, wt: 3.845, qsec: 17.05, vs: 0, am: 0, gear: 3, carb: 2, model: "Pontiac Firebird"},
|
| 309 |
+
{mpg: 27.3, cyl: 4, disp: 79, hp: 66, drat: 4.08, wt: 1.935, qsec: 18.90, vs: 1, am: 1, gear: 4, carb: 1, model: "Fiat X1-9"},
|
| 310 |
+
{mpg: 26, cyl: 4, disp: 120.3, hp: 91, drat: 4.43, wt: 2.140, qsec: 16.70, vs: 0, am: 1, gear: 5, carb: 2, model: "Porsche 914-2"},
|
| 311 |
+
{mpg: 30.4, cyl: 4, disp: 95.1, hp: 113, drat: 3.77, wt: 1.513, qsec: 16.90, vs: 1, am: 1, gear: 5, carb: 2, model: "Lotus Europa"},
|
| 312 |
+
{mpg: 15.8, cyl: 8, disp: 351, hp: 264, drat: 4.22, wt: 3.170, qsec: 14.50, vs: 0, am: 1, gear: 5, carb: 4, model: "Ford Pantera L"},
|
| 313 |
+
{mpg: 19.7, cyl: 6, disp: 145, hp: 175, drat: 3.62, wt: 2.770, qsec: 15.50, vs: 0, am: 1, gear: 5, carb: 6, model: "Ferrari Dino"},
|
| 314 |
+
{mpg: 15, cyl: 8, disp: 301, hp: 335, drat: 3.54, wt: 3.570, qsec: 14.60, vs: 0, am: 1, gear: 5, carb: 8, model: "Maserati Bora"},
|
| 315 |
+
{mpg: 21.4, cyl: 4, disp: 121, hp: 109, drat: 4.11, wt: 2.780, qsec: 18.60, vs: 1, am: 1, gear: 4, carb: 2, model: "Volvo 142E"}
|
| 316 |
+
];
|
| 317 |
+
columns = ['mpg', 'cyl', 'disp', 'hp', 'drat', 'wt', 'qsec', 'vs', 'am', 'gear', 'carb', 'model'];
|
| 318 |
+
break;
|
| 319 |
+
|
| 320 |
+
case 'random':
|
| 321 |
+
data = [];
|
| 322 |
+
columns = ['x', 'y', 'z', 'category'];
|
| 323 |
+
for (let i = 0; i < 100; i++) {
|
| 324 |
+
data.push({
|
| 325 |
+
x: Math.random() * 10,
|
| 326 |
+
y: Math.random() * 10,
|
| 327 |
+
z: Math.random() * 10,
|
| 328 |
+
category: Math.random() > 0.5 ? 'A' : 'B'
|
| 329 |
+
});
|
| 330 |
+
}
|
| 331 |
+
break;
|
| 332 |
+
}
|
| 333 |
+
|
| 334 |
+
currentData = data;
|
| 335 |
+
currentColumns = columns;
|
| 336 |
+
updateColumnSelectors();
|
| 337 |
+
updatePlot();
|
| 338 |
+
|
| 339 |
+
// Update sample data indicator
|
| 340 |
+
document.getElementById('file-name').textContent = `Loaded: ${dataset} dataset`;
|
| 341 |
+
}
|
| 342 |
+
|
| 343 |
+
// Handle file upload
|
| 344 |
+
function handleFileUpload(event) {
|
| 345 |
+
const file = event.target.files[0];
|
| 346 |
+
if (!file) return;
|
| 347 |
+
|
| 348 |
+
document.getElementById('file-name').textContent = `Uploading: ${file.name}`;
|
| 349 |
+
|
| 350 |
+
Papa.parse(file, {
|
| 351 |
+
header: true,
|
| 352 |
+
complete: function(results) {
|
| 353 |
+
currentData = results.data;
|
| 354 |
+
currentColumns = results.meta.fields;
|
| 355 |
+
updateColumnSelectors();
|
| 356 |
+
updatePlot();
|
| 357 |
+
|
| 358 |
+
document.getElementById('file-name').textContent = `Loaded: ${file.name}`;
|
| 359 |
+
},
|
| 360 |
+
error: function(error) {
|
| 361 |
+
console.error("Error parsing CSV:", error);
|
| 362 |
+
document.getElementById('file-name').textContent = `Error loading file`;
|
| 363 |
+
}
|
| 364 |
+
});
|
| 365 |
+
}
|
| 366 |
+
|
| 367 |
+
// Update column selectors
|
| 368 |
+
function updateColumnSelectors() {
|
| 369 |
+
const xAxis = document.getElementById('x-axis');
|
| 370 |
+
const yAxis = document.getElementById('y-axis');
|
| 371 |
+
const zAxis = document.getElementById('z-axis');
|
| 372 |
+
const colorBy = document.getElementById('color-by');
|
| 373 |
+
|
| 374 |
+
// Clear existing options
|
| 375 |
+
xAxis.innerHTML = '<option value="">Select variable</option>';
|
| 376 |
+
yAxis.innerHTML = '<option value="">Select variable</option>';
|
| 377 |
+
zAxis.innerHTML = '<option value="">Select variable</option>';
|
| 378 |
+
colorBy.innerHTML = '<option value="">None (single color)</option>';
|
| 379 |
+
|
| 380 |
+
// Add new options
|
| 381 |
+
currentColumns.forEach(col => {
|
| 382 |
+
const option = document.createElement('option');
|
| 383 |
+
option.value = col;
|
| 384 |
+
option.textContent = col;
|
| 385 |
+
|
| 386 |
+
xAxis.appendChild(option.cloneNode(true));
|
| 387 |
+
yAxis.appendChild(option.cloneNode(true));
|
| 388 |
+
zAxis.appendChild(option.cloneNode(true));
|
| 389 |
+
colorBy.appendChild(option.cloneNode(true));
|
| 390 |
+
});
|
| 391 |
+
|
| 392 |
+
// Set default selections if possible
|
| 393 |
+
if (currentColumns.includes('x') || currentColumns.includes('X')) {
|
| 394 |
+
xAxis.value = currentColumns.includes('x') ? 'x' : 'X';
|
| 395 |
+
}
|
| 396 |
+
if (currentColumns.includes('y') || currentColumns.includes('Y')) {
|
| 397 |
+
yAxis.value = currentColumns.includes('y') ? 'y' : 'Y';
|
| 398 |
+
}
|
| 399 |
+
if (currentColumns.includes('z') || currentColumns.includes('Z')) {
|
| 400 |
+
zAxis.value = currentColumns.includes('z') ? 'z' : 'Z';
|
| 401 |
+
}
|
| 402 |
+
if (currentColumns.includes('category') || currentColumns.includes('group')) {
|
| 403 |
+
colorBy.value = currentColumns.includes('category') ? 'category' : 'group';
|
| 404 |
+
}
|
| 405 |
+
}
|
| 406 |
+
|
| 407 |
+
// Set color theme
|
| 408 |
+
function setTheme(theme) {
|
| 409 |
+
currentTheme = theme;
|
| 410 |
+
updatePlot();
|
| 411 |
+
}
|
| 412 |
+
|
| 413 |
+
// Get color scale based on current theme
|
| 414 |
+
function getColorScale() {
|
| 415 |
+
switch(currentTheme) {
|
| 416 |
+
case 'ggplot':
|
| 417 |
+
return ['#619CFF', '#00BA38', '#F8766D'];
|
| 418 |
+
case 'viridis':
|
| 419 |
+
return ['#440154', '#3B528B', '#21908C', '#5DC963', '#FDE725'];
|
| 420 |
+
case 'plasma':
|
| 421 |
+
return ['#0D0887', '#7E03A8', '#CC4678', '#F89441', '#F0F921'];
|
| 422 |
+
case 'magma':
|
| 423 |
+
return ['#000004', '#3B0F70', '#8C2981', '#DE4968', '#FE9F6D', '#FCFDBF'];
|
| 424 |
+
case 'cividis':
|
| 425 |
+
return ['#00204D', '#31446B', '#666870', '#958F78', '#D1BC5F', '#FDE333'];
|
| 426 |
+
case 'custom':
|
| 427 |
+
return ['#6366F1', '#8B5CF6', '#EC4899'];
|
| 428 |
+
default:
|
| 429 |
+
return ['#6366F1', '#8B5CF6', '#EC4899'];
|
| 430 |
+
}
|
| 431 |
+
}
|
| 432 |
+
|
| 433 |
+
// Update the 3D plot
|
| 434 |
+
function updatePlot() {
|
| 435 |
+
const xAxis = document.getElementById('x-axis').value;
|
| 436 |
+
const yAxis = document.getElementById('y-axis').value;
|
| 437 |
+
const zAxis = document.getElementById('z-axis').value;
|
| 438 |
+
const colorBy = document.getElementById('color-by').value;
|
| 439 |
+
const plotType = document.getElementById('plot-type').value;
|
| 440 |
+
const pointSize = document.getElementById('point-size').value;
|
| 441 |
+
const opacity = document.getElementById('opacity').value;
|
| 442 |
+
|
| 443 |
+
if (!xAxis || !yAxis || !zAxis) {
|
| 444 |
+
alert("Please select X, Y, and Z axes variables");
|
| 445 |
+
return;
|
| 446 |
+
}
|
| 447 |
+
|
| 448 |
+
// Prepare data for plotting
|
| 449 |
+
let traces = [];
|
| 450 |
+
const colorScale = getColorScale();
|
| 451 |
+
|
| 452 |
+
if (colorBy && currentColumns.includes(colorBy)) {
|
| 453 |
+
// Group data by color variable
|
| 454 |
+
const groups = {};
|
| 455 |
+
currentData.forEach(row => {
|
| 456 |
+
const groupValue = row[colorBy];
|
| 457 |
+
if (!groups[groupValue]) {
|
| 458 |
+
groups[groupValue] = {
|
| 459 |
+
x: [],
|
| 460 |
+
y: [],
|
| 461 |
+
z: [],
|
| 462 |
+
text: []
|
| 463 |
+
};
|
| 464 |
+
}
|
| 465 |
+
groups[groupValue].x.push(row[xAxis]);
|
| 466 |
+
groups[groupValue].y.push(row[yAxis]);
|
| 467 |
+
groups[groupValue].z.push(row[zAxis]);
|
| 468 |
+
groups[groupValue].text.push(Object.entries(row).map(([key, val]) => `${key}: ${val}`).join('<br>'));
|
| 469 |
+
});
|
| 470 |
+
|
| 471 |
+
// Create a trace for each group
|
| 472 |
+
const groupValues = Object.keys(groups);
|
| 473 |
+
groupValues.forEach((group, i) => {
|
| 474 |
+
const colorIndex = i % colorScale.length;
|
| 475 |
+
const trace = {
|
| 476 |
+
x: groups[group].x,
|
| 477 |
+
y: groups[group].y,
|
| 478 |
+
z: groups[group].z,
|
| 479 |
+
text: groups[group].text,
|
| 480 |
+
name: group,
|
| 481 |
+
type: plotType,
|
| 482 |
+
mode: plotType === 'scatter' ? 'markers' : 'lines',
|
| 483 |
+
marker: {
|
| 484 |
+
size: plotType === 'scatter' ? pointSize : undefined,
|
| 485 |
+
color: colorScale[colorIndex],
|
| 486 |
+
opacity: opacity
|
| 487 |
+
},
|
| 488 |
+
line: plotType !== 'scatter' ? {
|
| 489 |
+
color: colorScale[colorIndex],
|
| 490 |
+
width: pointSize / 2
|
| 491 |
+
} : undefined,
|
| 492 |
+
hoverinfo: 'text'
|
| 493 |
+
};
|
| 494 |
+
traces.push(trace);
|
| 495 |
+
});
|
| 496 |
+
} else {
|
| 497 |
+
// Single trace with all data
|
| 498 |
+
const x = currentData.map(row => row[xAxis]);
|
| 499 |
+
const y = currentData.map(row => row[yAxis]);
|
| 500 |
+
const z = currentData.map(row => row[zAxis]);
|
| 501 |
+
const text = currentData.map(row => Object.entries(row).map(([key, val]) => `${key}: ${val}`).join('<br>'));
|
| 502 |
+
|
| 503 |
+
const trace = {
|
| 504 |
+
x: x,
|
| 505 |
+
y: y,
|
| 506 |
+
z: z,
|
| 507 |
+
text: text,
|
| 508 |
+
type: plotType,
|
| 509 |
+
mode: plotType === 'scatter' ? 'markers' : 'lines',
|
| 510 |
+
marker: {
|
| 511 |
+
size: plotType === 'scatter' ? pointSize : undefined,
|
| 512 |
+
color: colorScale[0],
|
| 513 |
+
opacity: opacity
|
| 514 |
+
},
|
| 515 |
+
line: plotType !== 'scatter' ? {
|
| 516 |
+
color: colorScale[0],
|
| 517 |
+
width: pointSize / 2
|
| 518 |
+
} : undefined,
|
| 519 |
+
hoverinfo: 'text'
|
| 520 |
+
};
|
| 521 |
+
traces.push(trace);
|
| 522 |
+
}
|
| 523 |
+
|
| 524 |
+
// Layout configuration with ggplot2-inspired styling
|
| 525 |
+
const layout = {
|
| 526 |
+
title: '3D Visualization',
|
| 527 |
+
scene: {
|
| 528 |
+
xaxis: { title: xAxis, gridcolor: 'rgb(200, 200, 200)', backgroundcolor: 'rgb(240, 240, 240)' },
|
| 529 |
+
yaxis: { title: yAxis, gridcolor: 'rgb(200, 200, 200)', backgroundcolor: 'rgb(240, 240, 240)' },
|
| 530 |
+
zaxis: { title: zAxis, gridcolor: 'rgb(200, 200, 200)', backgroundcolor: 'rgb(240, 240, 240)' },
|
| 531 |
+
bgcolor: 'rgb(255, 255, 255)'
|
| 532 |
+
},
|
| 533 |
+
margin: { l: 0, r: 0, b: 0, t: 30 },
|
| 534 |
+
paper_bgcolor: 'rgba(0,0,0,0)',
|
| 535 |
+
plot_bgcolor: 'rgba(0,0,0,0)',
|
| 536 |
+
legend: {
|
| 537 |
+
bgcolor: 'rgba(255, 255, 255, 0.8)',
|
| 538 |
+
bordercolor: 'rgba(0, 0, 0, 0.2)',
|
| 539 |
+
borderwidth: 1
|
| 540 |
+
}
|
| 541 |
+
};
|
| 542 |
+
|
| 543 |
+
Plotly.newPlot('3d-plot', traces, layout, { responsive: true });
|
| 544 |
+
}
|
| 545 |
+
|
| 546 |
+
// Export functions
|
| 547 |
+
function exportPNG() {
|
| 548 |
+
Plotly.downloadImage('3d-plot', {
|
| 549 |
+
format: 'png',
|
| 550 |
+
width: 1200,
|
| 551 |
+
height: 800,
|
| 552 |
+
filename: '3d-ggplot-plot'
|
| 553 |
+
});
|
| 554 |
+
}
|
| 555 |
+
|
| 556 |
+
function exportSVG() {
|
| 557 |
+
Plotly.downloadImage('3d-plot', {
|
| 558 |
+
format: 'svg',
|
| 559 |
+
width: 1200,
|
| 560 |
+
height: 800,
|
| 561 |
+
filename: '3d-ggplot-plot'
|
| 562 |
+
});
|
| 563 |
+
}
|
| 564 |
+
</script>
|
| 565 |
+
<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=guillermo2323/ggplotgrahs-like-app" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
|
| 566 |
+
</html>
|