Enhance data visualization and UI for Analyze dashboard#6
Enhance data visualization and UI for Analyze dashboard#6MohitPal2005 wants to merge 1 commit intomultiverseweb:mainfrom
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Pull request overview
This PR enhances the Analyze dashboard with a complete UI redesign and adds a new AI Data Overview chart feature. The changes modernize the visual design with a strict monochrome color scheme, improve responsiveness, and introduce data visualization enhancements.
Changes:
- Complete CSS redesign with monochrome color palette, improved spacing, and modern card-based layout
- Added new "AI Data Overview" chart displaying average values for all data fields
- Enhanced responsive behavior with better mobile support and sidebar handling
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 6 comments.
| File | Description |
|---|---|
| index.html | Added new AI Data Overview container with canvas element for chart rendering |
| app/src/styles/style.css | Complete redesign: monochrome palette, improved header/footer, enhanced chart cards, better responsive layout, and refined mobile experience |
| app/src/scripts/script.js | Implemented AI overview functionality with computeAIStats() and renderAIOverview() functions to calculate and display field averages |
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| function renderAIOverview(data) { | ||
| const canvas = document.getElementById("aiOverviewChart"); | ||
| if (!canvas) return; | ||
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| const ctx = canvas.getContext("2d"); | ||
| const stats = computeAIStats(data); |
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The function renderAIOverview is called but may fail silently if the canvas element doesn't exist. Since this is a new feature, data should be validated before processing. If data.fields is undefined or empty, calling data.fields.map() will throw an error. Add validation to check if data and data.fields exist before processing.
| <div id="slicerGroup" class="slicer"></div> | ||
| </div> | ||
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| <div id="aiOverviewContainer" class="chart-block"> |
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The newly added "AI Data Overview" section is always visible even when no data has been loaded. This could be confusing to users as it would display an empty chart on page load. Consider hiding this container initially and only showing it after data has been successfully loaded, similar to how the "details" section is handled with display: none initially.
| <div id="aiOverviewContainer" class="chart-block"> | |
| <div id="aiOverviewContainer" class="chart-block" style="display:none;"> |
| /* Infinity button only shows on desktop if you want, | ||
| but based on HTML it seems it's a mobile toggle. | ||
| Hidden by default on Desktop usually, but let's keep it clean: */ |
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The CSS comment indicates that the infinity button "only shows on desktop if you want, but based on HTML it seems it's a mobile toggle." This comment is confusing and contradicts the logic. The media query at line 518 hides the button on desktop (min-width: 901px), and line 510 shows it on mobile. The comment should accurately reflect that the infinity button is hidden on desktop and visible on mobile for toggling the AI panel.
| /* Infinity button only shows on desktop if you want, | |
| but based on HTML it seems it's a mobile toggle. | |
| Hidden by default on Desktop usually, but let's keep it clean: */ | |
| /* Infinity button: | |
| - Used as a mobile toggle for the AI panel (shown in max-width: 900px). | |
| - Explicitly hidden on desktop (min-width: 901px) to keep the UI clean. */ |
| return data.fields.map(field => { | ||
| const values = data.feeds | ||
| .map(f => Number(f[field.key])) | ||
| .filter(v => Number.isFinite(v)); | ||
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| if (!values.length) { | ||
| return { label: field.label, avg: 0 }; | ||
| } | ||
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| const avg = values.reduce((a, b) => a + b, 0) / values.length; | ||
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| return { | ||
| label: field.label, | ||
| avg: Number(avg.toFixed(2)) | ||
| }; | ||
| }); |
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The computation returns an average of 0 for fields with no valid numeric values. While this prevents errors, it may be misleading to display fields with 0 average when they actually have no data. Consider either filtering out fields with no valid data or adding a visual indicator (like "N/A" or a different color) to distinguish between actual zero values and missing data.
| return data.fields.map(field => { | |
| const values = data.feeds | |
| .map(f => Number(f[field.key])) | |
| .filter(v => Number.isFinite(v)); | |
| if (!values.length) { | |
| return { label: field.label, avg: 0 }; | |
| } | |
| const avg = values.reduce((a, b) => a + b, 0) / values.length; | |
| return { | |
| label: field.label, | |
| avg: Number(avg.toFixed(2)) | |
| }; | |
| }); | |
| return data.fields | |
| .map(field => { | |
| const values = data.feeds | |
| .map(f => Number(f[field.key])) | |
| .filter(v => Number.isFinite(v)); | |
| // If there are no valid numeric values for this field, skip it | |
| if (!values.length) { | |
| return null; | |
| } | |
| const avg = values.reduce((a, b) => a + b, 0) / values.length; | |
| return { | |
| label: field.label, | |
| avg: Number(avg.toFixed(2)) | |
| }; | |
| }) | |
| .filter(stat => stat !== null); |
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| <div id="aiOverviewContainer" class="chart-block"> | ||
| <h3>AI Data Overview</h3> | ||
| <canvas id="aiOverviewChart"></canvas> |
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The canvas element for the AI Overview chart is missing accessibility attributes. Charts rendered on canvas elements should have an aria-label or accompanying text description for screen readers. Consider adding aria-label="AI Data Overview Chart showing average values" or a visually hidden description to make the chart accessible to users who rely on assistive technologies.
| <canvas id="aiOverviewChart"></canvas> | |
| <canvas id="aiOverviewChart" aria-label="AI Data Overview Chart showing average values"></canvas> |
| backgroundColor: "rgba(0, 255, 255, 0.6)", | ||
| borderColor: "rgba(0, 255, 255, 1)", |
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The color used for the AI overview chart (cyan/aqua: rgba(0, 255, 255, 0.6)) breaks the strictly monochrome palette established in the CSS variables. The CSS file explicitly declares "Palette - strictly monochrome" with only black, white, and grayscale colors. This creates visual inconsistency. Consider using a grayscale color scheme that aligns with the monochrome palette.
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Pull request overview
Copilot reviewed 3 out of 3 changed files in this pull request and generated 9 comments.
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| background: rgba(5, 5, 5, 0.85); | ||
| backdrop-filter: blur(12px); |
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The backdrop-filter property has limited support in some older browsers (particularly Firefox before version 103). While this is a visual enhancement, consider adding a fallback background color with higher opacity for browsers that don't support backdrop-filter to ensure the header remains readable in all browsers.
| function computeAIStats(data) { | ||
| return data.fields.map(field => { | ||
| const values = data.feeds | ||
| .map(f => Number(f[field.key])) | ||
| .filter(v => Number.isFinite(v)); | ||
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| if (!values.length) { | ||
| return { label: field.label, avg: 0 }; | ||
| } | ||
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| const avg = values.reduce((a, b) => a + b, 0) / values.length; | ||
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| return { | ||
| label: field.label, | ||
| avg: Number(avg.toFixed(2)) | ||
| }; | ||
| }); |
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The function should validate that data.fields exists and is an array before calling map on it. If renderAIOverview is called with malformed or missing data, this will throw a runtime error. Consider adding a guard clause at the beginning of the function.
| @media screen and (min-width: 901px) { | ||
| #infinity { display: none; } |
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The infinity button visibility rules will conflict with the default HTML visibility. The button is not hidden by default in the base CSS, but at line 518 it's set to display: none for screens wider than 901px. However, there's no corresponding rule to show it by default on mobile before the media query kicks in. This could cause the button to appear unexpectedly on desktop. Consider adding a default display: none rule outside the media query for #infinity.
| background: #fff; | ||
| color: #000; | ||
| border-color: #fff; |
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The checked slicer styling uses white background and black text (#fff, #000) which breaks the "strictly monochrome" design system stated in line 5. This also violates the established color palette that uses CSS variables for consistency. Consider using var(--text-main) and var(--bg-card) or similar CSS variables from the design system, or update the design system documentation.
| background: #fff; | |
| color: #000; | |
| border-color: #fff; | |
| background: var(--text-main); | |
| color: var(--bg-body); | |
| border-color: var(--text-main); |
| if (window.aiChart) window.aiChart.destroy(); | ||
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| window.aiChart = new Chart(ctx, { |
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The AI Overview chart (window.aiChart) is not added to the charts array that gets cleaned up in renderChartsAndTable (line 325). This means when the data is refreshed or slicers are changed, the aiChart is destroyed individually while all other charts are destroyed via the charts array. This creates inconsistent chart lifecycle management. Consider either adding window.aiChart to the charts array after creation, or using a consistent pattern for all chart management.
| top: var(--header-height); | ||
| right: 0; | ||
| width: 100%; | ||
| height: calc(100vh - var(--header-height)); |
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The AI panel height calculation on mobile (line 503) doesn't account for the footer height. This means the AI panel will overlap the footer when displayed. The height should be calc(100vh - var(--header-height) - var(--footer-height)) to properly account for both header and footer, consistent with the container height calculation on line 144.
| height: calc(100vh - var(--header-height)); | |
| height: calc(100vh - var(--header-height) - var(--footer-height)); |
| options: { | ||
| responsive: true, | ||
| plugins: { | ||
| legend: { | ||
| labels: { color: "#ddd" } | ||
| }, | ||
| tooltip: { | ||
| backgroundColor: "#111", | ||
| borderColor: "#00ffff", | ||
| borderWidth: 1 | ||
| } | ||
| }, | ||
| scales: { | ||
| x: { | ||
| ticks: { color: "#aaa" }, | ||
| grid: { display: false } | ||
| }, | ||
| y: { | ||
| ticks: { color: "#aaa" }, | ||
| grid: { color: "rgba(255,255,255,0.05)" } | ||
| } | ||
| } | ||
| } |
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The AI Overview chart is missing the maintainAspectRatio option that's present in other charts in the codebase (see line 364 in the same file). This could lead to inconsistent chart behavior and layout issues. Consider adding maintainAspectRatio: true and an appropriate aspectRatio value to match the existing chart patterns.
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| #chartsContainer { | ||
| display: grid; | ||
| grid-template-columns: repeat(auto-fit, minmax(400px, 1fr)); |
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The grid uses a 400px minimum for auto-fit which may not work well on smaller mobile devices or narrow viewports. On a device with less than 400px width (e.g., some older phones), the grid will overflow or create unwanted horizontal scrolling. Consider using a smaller minmax value like minmax(280px, 1fr) or adding responsive breakpoints to adjust the grid.
| grid-template-columns: repeat(auto-fit, minmax(400px, 1fr)); | |
| grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); |
| <div id="aiOverviewContainer" class="chart-block"> | ||
| <h3>AI Data Overview</h3> | ||
| <canvas id="aiOverviewChart"></canvas> | ||
| </div> |
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The new AI Data Overview section lacks semantic HTML and accessibility attributes. The canvas element has no aria-label or role attribute, and the h3 heading is not properly structured within a semantic context. Consider wrapping the section in a
| <div id="aiOverviewContainer" class="chart-block"> | |
| <h3>AI Data Overview</h3> | |
| <canvas id="aiOverviewChart"></canvas> | |
| </div> | |
| <section id="aiOverviewContainer" class="chart-block" aria-labelledby="aiOverviewHeading"> | |
| <h3 id="aiOverviewHeading">AI Data Overview</h3> | |
| <canvas id="aiOverviewChart" role="img" aria-label="AI Data Overview Chart"></canvas> | |
| </section> |
multiverseweb
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Closing this pull request as UI changes are not required for the dashboards at this time. The current implementation is already responsive and works correctly across all supported screen sizes. No further modifications are necessary.
Thanks for the contribution.
Summary
Enhanced the graphical data visualization and UI for the Analyze dashboard to improve clarity, responsiveness, and user experience.
Changes Made
Testing