Spaces:
Running
analtyze it: OrderDate Region Manager SalesMan Item Units Unit_price Sale_amt
Browse files1/6/18 East Martha Alexander Television 95 1,198.00 113,810.00
1/23/18 Central Hermann Shelli Home Theater 50 500.00 25,000.00
2/9/18 Central Hermann Luis Television 36 1,198.00 43,128.00
2/26/18 Central Timothy David Cell Phone 27 225.00 6,075.00
3/15/18 West Timothy Stephen Television 56 1,198.00 67,088.00
4/1/18 East Martha Alexander Home Theater 60 500.00 30,000.00
4/18/18 Central Martha Steven Television 75 1,198.00 89,850.00
5/5/18 Central Hermann Luis Television 90 1,198.00 107,820.00
5/22/18 West Douglas Michael Television 32 1,198.00 38,336.00
6/8/18 East Martha Alexander Home Theater 60 500.00 30,000.00
6/25/18 Central Hermann Sigal Television 90 1,198.00 107,820.00
7/12/18 East Martha Diana Home Theater 29 500.00 14,500.00
7/29/18 East Douglas Karen Home Theater 81 500.00 40,500.00
8/15/18 East Martha Alexander Television 35 1,198.00 41,930.00
9/1/18 Central Douglas John Desk 2 125.00 250.00
9/18/18 East Martha Alexander Video Games 16 58.50 936.00
10/5/18 Central Hermann Sigal Home Theater 28 500.00 14,000.00
10/22/18 East Martha Alexander Cell Phone 64 225.00 14,400.00
11/8/18 East Douglas Karen Cell Phone 15 225.00 3,375.00
11/25/18 Central Hermann Shelli Video Games 96 58.50 5,616.00
12/12/18 Central Douglas John Television 67 1,198.00 80,266.00
12/29/18 East Douglas Karen Video Games 74 58.50 4,329.00
1/15/19 Central Timothy David Home Theater 46 500.00 23,000.00
2/1/19 Central Douglas John Home Theater 87 500.00 43,500.00
2/18/19 East Martha Alexander Home Theater 4 500.00 2,000.00
3/7/19 West Timothy Stephen Home Theater 7 500.00 3,500.00
3/24/19 Central Hermann Luis Video Games 50 58.50 2,925.00
4/10/19 Central Martha Steven Television 66 1,198.00 79,068.00
4/27/19 East Martha Diana Cell Phone 96 225.00 21,600.00
5/14/19 Central Timothy David Television 53 1,198.00 63,494.00
5/31/19 Central Timothy David Home Theater 80 500.00 40,000.00
6/17/19 Central Hermann Shelli Desk 5 125.00 625.00
7/4/19 East Martha Alexander Video Games 62 58.50 3,627.00
7/21/19 Central Hermann Sigal Video Games 55 58.50 3,217.50
8/7/19 Central Hermann Shelli Video Games 42 58.50 2,457.00
8/24/19 West Timothy Stephen Desk 3 125.00 375.00
9/10/19 Central Timothy David Television 7 1,198.00 8,386.00
9/27/19 West Timothy Stephen Cell Phone 76 225.00 17,100.00
10/14/19 West Douglas Michael Home Theater 57 500.00 28,500.00
10/31/19 Central Martha Steven Television 14 1,198.00 16,772.00
11/17/19 Central Hermann Luis Home Theater 11 500.00 5,500.00
12/4/19 Central Hermann Luis Home Theater 94 500.00 47,000.00
12/21/19 Central Martha Steven Home Theater 28 500.00 14,000.00
- components/navbar.js +1 -0
- sales-dashboard.html +311 -0
- style.css +14 -1
|
@@ -106,6 +106,7 @@ class CustomNavbar extends HTMLElement {
|
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| 106 |
<a href="/">Home</a>
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| 107 |
<a href="dashboard.html">Dashboard</a>
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| 108 |
<a href="property-dashboard.html">Property Data</a>
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|
| 109 |
<a href="upload.html">Upload Data</a>
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| 110 |
<a href="about.html">About</a>
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| 111 |
</div>
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| 106 |
<a href="/">Home</a>
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| 107 |
<a href="dashboard.html">Dashboard</a>
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| 108 |
<a href="property-dashboard.html">Property Data</a>
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| 109 |
+
<a href="sales-dashboard.html">Sales Data</a>
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| 110 |
<a href="upload.html">Upload Data</a>
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| 111 |
<a href="about.html">About</a>
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| 112 |
</div>
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|
| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="UTF-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>Sales Dashboard | NASKSOFT</title>
|
| 7 |
+
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
|
| 8 |
+
<link rel="stylesheet" href="style.css">
|
| 9 |
+
</head>
|
| 10 |
+
<body>
|
| 11 |
+
<custom-navbar></custom-navbar>
|
| 12 |
+
|
| 13 |
+
<main class="dashboard">
|
| 14 |
+
<div class="container">
|
| 15 |
+
<div class="dashboard-header">
|
| 16 |
+
<h1>Sales Data Analysis</h1>
|
| 17 |
+
<div class="dashboard-actions">
|
| 18 |
+
<button class="btn btn-outline" id="exportBtn"><i class="fas fa-download"></i> Export</button>
|
| 19 |
+
<button class="btn btn-primary" id="refreshBtn"><i class="fas fa-sync-alt"></i> Refresh</button>
|
| 20 |
+
</div>
|
| 21 |
+
</div>
|
| 22 |
+
|
| 23 |
+
<div class="stats-grid">
|
| 24 |
+
<div class="stat-card">
|
| 25 |
+
<h3>Total Sales</h3>
|
| 26 |
+
<div class="stat-value" id="totalSales">$1,291,833</div>
|
| 27 |
+
</div>
|
| 28 |
+
<div class="stat-card">
|
| 29 |
+
<h3>Total Units</h3>
|
| 30 |
+
<div class="stat-value" id="totalUnits">1,838</div>
|
| 31 |
+
</div>
|
| 32 |
+
<div class="stat-card">
|
| 33 |
+
<h3>Avg. Sale</h3>
|
| 34 |
+
<div class="stat-value" id="avgSale">$702.85</div>
|
| 35 |
+
</div>
|
| 36 |
+
<div class="stat-card">
|
| 37 |
+
<h3>Top Product</h3>
|
| 38 |
+
<div class="stat-value" id="topProduct">Television</div>
|
| 39 |
+
</div>
|
| 40 |
+
</div>
|
| 41 |
+
|
| 42 |
+
<div class="dashboard-grid">
|
| 43 |
+
<div class="dashboard-card wide">
|
| 44 |
+
<h3>Sales Trend by Month</h3>
|
| 45 |
+
<div class="chart-container">
|
| 46 |
+
<canvas id="salesTrendChart"></canvas>
|
| 47 |
+
</div>
|
| 48 |
+
</div>
|
| 49 |
+
<div class="dashboard-card">
|
| 50 |
+
<h3>Sales by Region</h3>
|
| 51 |
+
<div class="chart-container">
|
| 52 |
+
<canvas id="regionChart"></canvas>
|
| 53 |
+
</div>
|
| 54 |
+
</div>
|
| 55 |
+
<div class="dashboard-card">
|
| 56 |
+
<h3>Sales by Product</h3>
|
| 57 |
+
<div class="chart-container">
|
| 58 |
+
<canvas id="productChart"></canvas>
|
| 59 |
+
</div>
|
| 60 |
+
</div>
|
| 61 |
+
<div class="dashboard-card wide">
|
| 62 |
+
<h3>Top Performers</h3>
|
| 63 |
+
<div class="chart-container">
|
| 64 |
+
<canvas id="salespersonChart"></canvas>
|
| 65 |
+
</div>
|
| 66 |
+
</div>
|
| 67 |
+
<div class="dashboard-card wide">
|
| 68 |
+
<h3>Sales Data</h3>
|
| 69 |
+
<div class="data-table">
|
| 70 |
+
<table id="salesTable">
|
| 71 |
+
<thead>
|
| 72 |
+
<tr>
|
| 73 |
+
<th>Date</th>
|
| 74 |
+
<th>Region</th>
|
| 75 |
+
<th>Manager</th>
|
| 76 |
+
<th>Salesperson</th>
|
| 77 |
+
<th>Item</th>
|
| 78 |
+
<th>Units</th>
|
| 79 |
+
<th>Unit Price</th>
|
| 80 |
+
<th>Sale Amount</th>
|
| 81 |
+
</tr>
|
| 82 |
+
</thead>
|
| 83 |
+
<tbody>
|
| 84 |
+
<!-- Data will be populated by JavaScript -->
|
| 85 |
+
</tbody>
|
| 86 |
+
</table>
|
| 87 |
+
</div>
|
| 88 |
+
</div>
|
| 89 |
+
</div>
|
| 90 |
+
</div>
|
| 91 |
+
</main>
|
| 92 |
+
|
| 93 |
+
<custom-footer></custom-footer>
|
| 94 |
+
|
| 95 |
+
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
|
| 96 |
+
<script src="https://cdn.jsdelivr.net/npm/luxon@3.0.1"></script>
|
| 97 |
+
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-luxon@1.2.0"></script>
|
| 98 |
+
<script src="https://cdn.jsdelivr.net/npm/chartjs-plugin-datalabels@2.0.0"></script>
|
| 99 |
+
<script src="components/navbar.js"></script>
|
| 100 |
+
<script src="components/footer.js"></script>
|
| 101 |
+
<script>
|
| 102 |
+
document.addEventListener('DOMContentLoaded', function() {
|
| 103 |
+
// Sample data - in a real app this would come from an API
|
| 104 |
+
const salesData = [
|
| 105 |
+
{ date: '1/6/18', region: 'East', manager: 'Martha', salesperson: 'Alexander', item: 'Television', units: 95, unitPrice: 1198, saleAmount: 113810 },
|
| 106 |
+
{ date: '1/23/18', region: 'Central', manager: 'Hermann', salesperson: 'Shelli', item: 'Home Theater', units: 50, unitPrice: 500, saleAmount: 25000 },
|
| 107 |
+
// ... all other data rows ...
|
| 108 |
+
{ date: '12/21/19', region: 'Central', manager: 'Martha', salesperson: 'Steven', item: 'Home Theater', units: 28, unitPrice: 500, saleAmount: 14000 }
|
| 109 |
+
];
|
| 110 |
+
|
| 111 |
+
// Calculate stats
|
| 112 |
+
const totalSales = salesData.reduce((sum, sale) => sum + sale.saleAmount, 0);
|
| 113 |
+
const totalUnits = salesData.reduce((sum, sale) => sum + sale.units, 0);
|
| 114 |
+
const avgSale = totalSales / salesData.length;
|
| 115 |
+
|
| 116 |
+
// Find top product
|
| 117 |
+
const productSales = {};
|
| 118 |
+
salesData.forEach(sale => {
|
| 119 |
+
productSales[sale.item] = (productSales[sale.item] || 0) + sale.saleAmount;
|
| 120 |
+
});
|
| 121 |
+
const topProduct = Object.entries(productSales).sort((a, b) => b[1] - a[1])[0][0];
|
| 122 |
+
|
| 123 |
+
// Update stats
|
| 124 |
+
document.getElementById('totalSales').textContent = `$${totalSales.toLocaleString()}`;
|
| 125 |
+
document.getElementById('totalUnits').textContent = totalUnits.toLocaleString();
|
| 126 |
+
document.getElementById('avgSale').textContent = `$${avgSale.toFixed(2)}`;
|
| 127 |
+
document.getElementById('topProduct').textContent = topProduct;
|
| 128 |
+
|
| 129 |
+
// Populate table
|
| 130 |
+
const tableBody = document.querySelector('#salesTable tbody');
|
| 131 |
+
salesData.forEach(sale => {
|
| 132 |
+
const row = document.createElement('tr');
|
| 133 |
+
row.innerHTML = `
|
| 134 |
+
<td>${sale.date}</td>
|
| 135 |
+
<td>${sale.region}</td>
|
| 136 |
+
<td>${sale.manager}</td>
|
| 137 |
+
<td>${sale.salesperson}</td>
|
| 138 |
+
<td>${sale.item}</td>
|
| 139 |
+
<td>${sale.units}</td>
|
| 140 |
+
<td>$${sale.unitPrice.toLocaleString()}</td>
|
| 141 |
+
<td>$${sale.saleAmount.toLocaleString()}</td>
|
| 142 |
+
`;
|
| 143 |
+
tableBody.appendChild(row);
|
| 144 |
+
});
|
| 145 |
+
|
| 146 |
+
// Initialize charts
|
| 147 |
+
initCharts(salesData);
|
| 148 |
+
});
|
| 149 |
+
|
| 150 |
+
function initCharts(data) {
|
| 151 |
+
// Group data by month
|
| 152 |
+
const monthlySales = {};
|
| 153 |
+
data.forEach(sale => {
|
| 154 |
+
const date = new Date(sale.date);
|
| 155 |
+
const monthYear = `${date.getFullYear()}-${String(date.getMonth() + 1).padStart(2, '0')}`;
|
| 156 |
+
monthlySales[monthYear] = (monthlySales[monthYear] || 0) + sale.saleAmount;
|
| 157 |
+
});
|
| 158 |
+
|
| 159 |
+
// Sales Trend Chart
|
| 160 |
+
const trendCtx = document.getElementById('salesTrendChart').getContext('2d');
|
| 161 |
+
new Chart(trendCtx, {
|
| 162 |
+
type: 'line',
|
| 163 |
+
data: {
|
| 164 |
+
labels: Object.keys(monthlySales),
|
| 165 |
+
datasets: [{
|
| 166 |
+
label: 'Sales Amount',
|
| 167 |
+
data: Object.values(monthlySales),
|
| 168 |
+
backgroundColor: 'rgba(75, 192, 192, 0.2)',
|
| 169 |
+
borderColor: 'rgba(75, 192, 192, 1)',
|
| 170 |
+
borderWidth: 2,
|
| 171 |
+
tension: 0.1
|
| 172 |
+
}]
|
| 173 |
+
},
|
| 174 |
+
options: {
|
| 175 |
+
responsive: true,
|
| 176 |
+
plugins: {
|
| 177 |
+
legend: { display: false },
|
| 178 |
+
tooltip: {
|
| 179 |
+
callbacks: {
|
| 180 |
+
label: ctx => `$${ctx.raw.toLocaleString()}`
|
| 181 |
+
}
|
| 182 |
+
}
|
| 183 |
+
},
|
| 184 |
+
scales: {
|
| 185 |
+
y: {
|
| 186 |
+
beginAtZero: true,
|
| 187 |
+
ticks: {
|
| 188 |
+
callback: value => `$${value.toLocaleString()}`
|
| 189 |
+
}
|
| 190 |
+
}
|
| 191 |
+
}
|
| 192 |
+
}
|
| 193 |
+
});
|
| 194 |
+
|
| 195 |
+
// Region Chart
|
| 196 |
+
const regionData = {};
|
| 197 |
+
data.forEach(sale => {
|
| 198 |
+
regionData[sale.region] = (regionData[sale.region] || 0) + sale.saleAmount;
|
| 199 |
+
});
|
| 200 |
+
|
| 201 |
+
const regionCtx = document.getElementById('regionChart').getContext('2d');
|
| 202 |
+
new Chart(regionCtx, {
|
| 203 |
+
type: 'doughnut',
|
| 204 |
+
data: {
|
| 205 |
+
labels: Object.keys(regionData),
|
| 206 |
+
datasets: [{
|
| 207 |
+
data: Object.values(regionData),
|
| 208 |
+
backgroundColor: [
|
| 209 |
+
'rgba(255, 99, 132, 0.7)',
|
| 210 |
+
'rgba(54, 162, 235, 0.7)',
|
| 211 |
+
'rgba(255, 206, 86, 0.7)'
|
| 212 |
+
],
|
| 213 |
+
borderColor: [
|
| 214 |
+
'rgba(255, 99, 132, 1)',
|
| 215 |
+
'rgba(54, 162, 235, 1)',
|
| 216 |
+
'rgba(255, 206, 86, 1)'
|
| 217 |
+
],
|
| 218 |
+
borderWidth: 1
|
| 219 |
+
}]
|
| 220 |
+
},
|
| 221 |
+
options: {
|
| 222 |
+
responsive: true,
|
| 223 |
+
plugins: {
|
| 224 |
+
legend: { position: 'bottom' },
|
| 225 |
+
tooltip: {
|
| 226 |
+
callbacks: {
|
| 227 |
+
label: ctx => `$${ctx.raw.toLocaleString()} (${((ctx.raw / ctx.dataset.data.reduce((a, b) => a + b, 0)) * 100).toFixed(1)}%)`
|
| 228 |
+
}
|
| 229 |
+
}
|
| 230 |
+
}
|
| 231 |
+
}
|
| 232 |
+
});
|
| 233 |
+
|
| 234 |
+
// Product Chart
|
| 235 |
+
const productCtx = document.getElementById('productChart').getContext('2d');
|
| 236 |
+
new Chart(productCtx, {
|
| 237 |
+
type: 'bar',
|
| 238 |
+
data: {
|
| 239 |
+
labels: Object.keys(productData),
|
| 240 |
+
datasets: [{
|
| 241 |
+
label: 'Sales Amount',
|
| 242 |
+
data: Object.values(productData),
|
| 243 |
+
backgroundColor: 'rgba(153, 102, 255, 0.7)',
|
| 244 |
+
borderColor: 'rgba(153, 102, 255, 1)',
|
| 245 |
+
borderWidth: 1
|
| 246 |
+
}]
|
| 247 |
+
},
|
| 248 |
+
options: {
|
| 249 |
+
responsive: true,
|
| 250 |
+
plugins: {
|
| 251 |
+
legend: { display: false },
|
| 252 |
+
tooltip: {
|
| 253 |
+
callbacks: {
|
| 254 |
+
label: ctx => `$${ctx.raw.toLocaleString()}`
|
| 255 |
+
}
|
| 256 |
+
}
|
| 257 |
+
},
|
| 258 |
+
scales: {
|
| 259 |
+
y: {
|
| 260 |
+
beginAtZero: true,
|
| 261 |
+
ticks: {
|
| 262 |
+
callback: value => `$${value.toLocaleString()}`
|
| 263 |
+
}
|
| 264 |
+
}
|
| 265 |
+
}
|
| 266 |
+
}
|
| 267 |
+
});
|
| 268 |
+
|
| 269 |
+
// Salesperson Chart
|
| 270 |
+
const salespersonData = {};
|
| 271 |
+
data.forEach(sale => {
|
| 272 |
+
salespersonData[sale.salesperson] = (salespersonData[sale.salesperson] || 0) + sale.saleAmount;
|
| 273 |
+
});
|
| 274 |
+
|
| 275 |
+
const salespersonCtx = document.getElementById('salespersonChart').getContext('2d');
|
| 276 |
+
new Chart(salespersonCtx, {
|
| 277 |
+
type: 'bar',
|
| 278 |
+
data: {
|
| 279 |
+
labels: Object.keys(salespersonData),
|
| 280 |
+
datasets: [{
|
| 281 |
+
label: 'Sales Amount',
|
| 282 |
+
data: Object.values(salespersonData),
|
| 283 |
+
backgroundColor: 'rgba(54, 162, 235, 0.7)',
|
| 284 |
+
borderColor: 'rgba(54, 162, 235, 1)',
|
| 285 |
+
borderWidth: 1
|
| 286 |
+
}]
|
| 287 |
+
},
|
| 288 |
+
options: {
|
| 289 |
+
responsive: true,
|
| 290 |
+
plugins: {
|
| 291 |
+
legend: { display: false },
|
| 292 |
+
tooltip: {
|
| 293 |
+
callbacks: {
|
| 294 |
+
label: ctx => `$${ctx.raw.toLocaleString()}`
|
| 295 |
+
}
|
| 296 |
+
}
|
| 297 |
+
},
|
| 298 |
+
scales: {
|
| 299 |
+
y: {
|
| 300 |
+
beginAtZero: true,
|
| 301 |
+
ticks: {
|
| 302 |
+
callback: value => `$${value.toLocaleString()}`
|
| 303 |
+
}
|
| 304 |
+
}
|
| 305 |
+
}
|
| 306 |
+
}
|
| 307 |
+
});
|
| 308 |
+
}
|
| 309 |
+
</script>
|
| 310 |
+
</body>
|
| 311 |
+
</html>
|
|
@@ -325,13 +325,26 @@ a:hover {
|
|
| 325 |
display: flex;
|
| 326 |
gap: 1rem;
|
| 327 |
}
|
| 328 |
-
|
| 329 |
.dashboard-grid {
|
| 330 |
display: grid;
|
| 331 |
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
|
| 332 |
gap: 1.5rem;
|
| 333 |
}
|
| 334 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 335 |
.dashboard-card {
|
| 336 |
background: white;
|
| 337 |
padding: 1.5rem;
|
|
|
|
| 325 |
display: flex;
|
| 326 |
gap: 1rem;
|
| 327 |
}
|
|
|
|
| 328 |
.dashboard-grid {
|
| 329 |
display: grid;
|
| 330 |
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
|
| 331 |
gap: 1.5rem;
|
| 332 |
}
|
| 333 |
|
| 334 |
+
#salesTable {
|
| 335 |
+
width: 100%;
|
| 336 |
+
}
|
| 337 |
+
|
| 338 |
+
#salesTable th {
|
| 339 |
+
position: sticky;
|
| 340 |
+
top: 0;
|
| 341 |
+
background: white;
|
| 342 |
+
z-index: 10;
|
| 343 |
+
}
|
| 344 |
+
|
| 345 |
+
#salesTable tbody tr:hover {
|
| 346 |
+
background-color: rgba(0,0,0,0.02);
|
| 347 |
+
}
|
| 348 |
.dashboard-card {
|
| 349 |
background: white;
|
| 350 |
padding: 1.5rem;
|