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Test recording
Correlation Studio — app walkthrough
56,972 ms · 0 pixels changed · matches baseline
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export async function test(page, baseUrl, screenshotPath, stepLogger) {
const shot = (n, slug) => screenshotPath.replace(/\.png$/, `-${n}-${slug}.png`);
// Block analytics/GTM noise
await page.route('**/(gtm|google-analytics|googletagmanager|pagead|doubleclick|redditstatic|snap.licdn|connect.facebook).**', r => r.abort());
// Step 1: Login
stepLogger.log('Step 1: Login');
await page.goto('https://correlationstudio.com/login', { waitUntil: 'domcontentloaded' });
await page.waitForTimeout(1500);
await page.locator('input[type=email]').first().fill('[email protected]');
await page.locator('input[type=password]').first().fill('LastestDemo2026!');Checks run
Notes from the demo run
AI-generatedCorrelation Studio is a no-code data science platform for discovering statistical relationships in datasets. The app features a clean, data-centric dashboard with dedicated sections for Datasets, Experiments, Portfolios, Posts, and a Usage tracker. New users get 5K tokens and 10GB storage quota on registration. The data upload and experiment creation flows are modal-based and straightforward. The platform shows real promise for analysts who want correlation mining without writing code.
- Datasets managerTabular view with drag-to-reorder, visibility toggles (public/private), publish/unpublish, and one-click Analyze action per dataset
- New Dataset modalClean multi-step upload form; supports defining columns, rows, topics, and source metadata before import
- Experiments dashboardShows Mean Correlation, Discoveries count, and Skipped metrics per experiment in a sortable table
- New Experiment flowLinks experiments to existing datasets; the primary business interaction the platform is built around
- Usage dashboardReal-time storage quota (10 GB), token budget, and per-experiment row/column stats in one view
- Profile settingsLight/dark mode toggle, email notification preferences, password change, and danger-zone account deletion
- Community feedPublic home feed showing 9,671+ community items (datasets, experiments, portfolios, posts) from all users
- CatalogTopic-based organization layer for datasets and references; helps structure large data collections
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