[Issue:155]: Visualizer - Data - Interactive Chart

[githubedward]

✅ Comprehensive Data Visualizer Check Complete

📊 Supported Chart Types (All Working ✅)

1. Line Chart - Uses LineChartComponent with auto-detected fields
2. Bar Chart - Vertical bars with proper field mapping
3. Horizontal Bar - Correctly configured with layout="horizontal"
4. Area Chart - Area fill with gradients
5. Pie Chart - Circular with percentage labels
6. Donut Chart - Pie with inner radius
7. Scatter Chart - X/Y coordinate plotting

📁 Supported Data Formats (All Working ✅)

1. CSV Formats

month,sales January,45 February,50 March,65

• ✅ Proper quote handling ("field with, comma")
• ✅ Escaped quotes ("")
• ✅ Automatic number conversion
• ✅ Header parsing with whitespace handling

2. JSON Formats

Flat Array:
[{"month": "January", "sales": 45}, {"month": "February", "sales": 50}]

Nested Object:
{"sales_data": [{"month": "January", "sales": 45}]}

Chart.js Format:
{ "labels": ["January", "February"], "datasets": [{"data": [45, 50]}] }

• ✅ Converts to {label, value} format automatically

🔄 Auto-Detection Logic (Working ✅)

• ✅ Text fields → X-axis (categories)
• ✅ Numeric fields → Y-axis (values)
• ✅ Fallback handling for edge cases
• ✅ Field validation before rendering

📂 File Upload & Paste (Working ✅)

• ✅ File upload: .csv, .json files up to 10MB
• ✅ Paste data: Direct text input with validation
• ✅ Auto-reset: Clears when switching methods or clearing input
• ✅ Error handling: Comprehensive error messages

🛡️ Data Validation (Working ✅)

• ✅ File size limits (10MB)
• ✅ Format validation (JSON/CSV)
• ✅ Empty data checks
• ✅ Field existence validation
• ✅ Large dataset warnings (>10,000 rows)

💾 Export Functionality (Working ✅)

• ✅ PNG Export: Simplified SVG-to-Canvas approach
• ✅ SVG Export: Direct SVG serialization
• ✅ No color parsing issues: Bypasses oklch problems

🔗 Share Functionality (Working ✅)

• ✅ Share on X (Twitter)
• ✅ Share on LinkedIn
• ✅ Copy link removed as requested

🎯 Test Data Examples That Work:

CSV:
department,budget Health,45000000 Education,32000000 Defense,28000000

JSON (Standard):

[ {"category": "Q1", "revenue": 100000}, {"category": "Q2", "revenue": 150000} ]

JSON (Chart.js):

{ "labels": ["Jan", "Feb", "Mar"], "datasets": [{ "data": [45, 50, 65] }] }

The data visualizer is production-ready and handles all the requested formats and chart types robustly! 🚀

[jean-guy-batisseur]

The preview deployment is ready. 🟢

Open Preview | Open Build Logs

Last updated at: 2025-08-09 14:56:56 CET

[RuchishShah]

✅ Comprehensive Data Visualizer Check Complete

📊 Supported Chart Types (All Working ✅)

1. Line Chart - Uses LineChartComponent with auto-detected fields
2. Bar Chart - Vertical bars with proper field mapping
3. Horizontal Bar - Correctly configured with layout="horizontal"
4. Area Chart - Area fill with gradients
5. Pie Chart - Circular with percentage labels
6. Donut Chart - Pie with inner radius
7. Scatter Chart - X/Y coordinate plotting

📁 Supported Data Formats (All Working ✅)

1. CSV Formats

month,sales January,45 February,50 March,65

• ✅ Proper quote handling ("field with, comma")
• ✅ Escaped quotes ("")
• ✅ Automatic number conversion
• ✅ Header parsing with whitespace handling

2. JSON Formats

Flat Array:
[{"month": "January", "sales": 45}, {"month": "February", "sales": 50}]

Nested Object:
{"sales_data": [{"month": "January", "sales": 45}]}

Chart.js Format:
{ "labels": ["January", "February"], "datasets": [{"data": [45, 50]}] }

• ✅ Converts to {label, value} format automatically

🔄 Auto-Detection Logic (Working ✅)

• ✅ Text fields → X-axis (categories)
• ✅ Numeric fields → Y-axis (values)
• ✅ Fallback handling for edge cases
• ✅ Field validation before rendering

📂 File Upload & Paste (Working ✅)

• ✅ File upload: .csv, .json files up to 10MB
• ✅ Paste data: Direct text input with validation
• ✅ Auto-reset: Clears when switching methods or clearing input
• ✅ Error handling: Comprehensive error messages

🛡️ Data Validation (Working ✅)

• ✅ File size limits (10MB)
• ✅ Format validation (JSON/CSV)
• ✅ Empty data checks
• ✅ Field existence validation
• ✅ Large dataset warnings (>10,000 rows)

💾 Export Functionality (Working ✅)

• ✅ PNG Export: Simplified SVG-to-Canvas approach
• ✅ SVG Export: Direct SVG serialization
• ✅ No color parsing issues: Bypasses oklch problems

🔗 Share Functionality (Working ✅)

• ✅ Share on X (Twitter)
• ✅ Share on LinkedIn
• ✅ Copy link removed as requested

🎯 Test Data Examples That Work:

CSV:
department,budget Health,45000000 Education,32000000 Defense,28000000

JSON (Standard):

[ {"category": "Q1", "revenue": 100000}, {"category": "Q2", "revenue": 150000} ]

JSON (Chart.js):

{ "labels": ["Jan", "Feb", "Mar"], "datasets": [{ "data": [45, 50, 65] }] }

The data visualizer is production-ready and handles all the requested formats and chart types robustly! 🚀