This page demonstrates various Table features in JSPlots.
Every table includes a 'Download as CSV' button for easy data export!
A simple table showing product inventory. Click the download button to export as CSV.
| Product | Price | Stock | Category |
|---|---|---|---|
| Widget | 9.99 | 100 | Tools |
| Gadget | 14.99 | 50 | Electronics |
| Gizmo | 24.99 | 25 | Accessories |
| Tool | 19.99 | 75 | Tools |
| Device | 34.99 | 15 | Electronics |
Data: basic_table
Financial performance with calculated metrics (Profit, Margin %, Average Price)
| Month | Revenue | Expenses | Units_Sold | Profit | Margin_Percent | Avg_Price |
|---|---|---|---|---|---|---|
| January | 45000 | 30000 | 450 | 15000 | 33.3 | 100.0 |
| February | 52000 | 32000 | 520 | 20000 | 38.5 | 100.0 |
| March | 48000 | 29000 | 480 | 19000 | 39.6 | 100.0 |
| April | 61000 | 35000 | 610 | 26000 | 42.6 | 100.0 |
| May | 58000 | 33000 | 580 | 25000 | 43.1 | 100.0 |
| June | 67000 | 38000 | 670 | 29000 | 43.3 | 100.0 |
Data: financial_table
Descriptive statistics comparing two groups
| Statistic | Group_A | Group_B |
|---|---|---|
| Count | 50.0 | 50.0 |
| Mean | 75.26 | 83.66 |
| Median | 75.76 | 81.21 |
| Std Dev | 10.17 | 10.14 |
| Min | 53.91 | 65.48 |
| Max | 91.05 | 108.94 |
| Q1 | 68.04 | 76.12 |
| Q3 | 83.05 | 91.09 |
Data: statistics_table
Table demonstrating HTML escaping and missing value handling
| Name | Description | Price | Rating | Status |
|---|---|---|---|---|
| Alice & Bob | Tools & Hardware | 100.5 | 4.5 | Active |
| Charlie's Shop | Books <Rare> | 4.8 | Active | |
| Electronics | 250.0 | Pending | ||
| D&D Store | 75.25 | 3.9 | Active | |
| E-Corp | Software "Pro" | 500.0 | 4.2 |
Data: special_chars_table
Top 5 performers this quarter
| Rank | Employee | Department | Score |
|---|---|---|---|
| 1 | Sarah Johnson | Sales | 98 |
| 2 | Mike Chen | Engineering | 96 |
| 3 | Emma Williams | Sales | 95 |
| 4 | David Brown | Marketing | 94 |
| 5 | Lisa Garcia | Engineering | 93 |
Data: top_performers
Department-level summary statistics
| Department | Employees | Avg_Score | Budget |
|---|---|---|---|
| Sales | 12 | 87.3 | 500000 |
| Engineering | 25 | 84.5 | 1200000 |
| Marketing | 8 | 79.2 | 350000 |
| Operations | 15 | 81.8 | 600000 |
Data: department_summary
Monthly sales summary (download for detailed analysis)
| Month | Days | Total_Revenue | Avg_Daily_Revenue |
|---|---|---|---|
| Jan | 31 | 200200.0 | 6458.06 |
| Feb | 29 | 192346.0 | 6632.62 |
| Mar | 31 | 197561.0 | 6372.94 |
| Apr | 30 | 201245.0 | 6708.17 |
| May | 31 | 200050.0 | 6453.23 |
| Jun | 30 | 196475.0 | 6549.17 |
Data: monthly_sales
Data: detailed_sales
Example image included in the dashboard
images.jpeg
Large table with 100 rows - demonstrates scrolling and CSV download capability
| ID | Customer | Order_Date | Product | Quantity | Unit_Price | Total |
|---|---|---|---|---|---|---|
| 1 | Customer_1 | 2024-06-18 | Product E | 16 | 19.99 | 319.84 |
| 2 | Customer_2 | 2024-03-29 | Product B | 44 | 14.99 | 659.56 |
| 3 | Customer_3 | 2024-04-22 | Product C | 19 | 24.99 | 474.81 |
| 4 | Customer_4 | 2024-06-18 | Product C | 16 | 19.99 | 319.84 |
| 5 | Customer_5 | 2024-02-13 | Product E | 39 | 34.99 | 1364.61 |
| 6 | Customer_6 | 2024-06-29 | Product B | 16 | 9.99 | 159.84 |
| 7 | Customer_7 | 2024-02-03 | Product B | 34 | 14.99 | 509.66 |
| 8 | Customer_8 | 2024-06-27 | Product D | 1 | 19.99 | 19.99 |
| 9 | Customer_9 | 2024-05-20 | Product A | 49 | 14.99 | 734.51 |
| 10 | Customer_10 | 2024-01-07 | Product E | 9 | 14.99 | 134.91 |
| 11 | Customer_11 | 2024-06-05 | Product E | 15 | 19.99 | 299.85 |
| 12 | Customer_12 | 2024-04-09 | Product C | 15 | 14.99 | 224.85 |
| 13 | Customer_13 | 2024-06-18 | Product C | 6 | 34.99 | 209.94 |
| 14 | Customer_14 | 2024-05-31 | Product C | 38 | 19.99 | 759.62 |
| 15 | Customer_15 | 2024-02-04 | Product E | 19 | 14.99 | 284.81 |
| 16 | Customer_16 | 2024-02-15 | Product D | 34 | 24.99 | 849.66 |
| 17 | Customer_17 | 2024-03-13 | Product E | 15 | 24.99 | 374.85 |
| 18 | Customer_18 | 2024-03-04 | Product B | 14 | 19.99 | 279.86 |
| 19 | Customer_19 | 2024-06-04 | Product B | 37 | 19.99 | 739.63 |
| 20 | Customer_20 | 2024-05-31 | Product D | 10 | 9.99 | 99.9 |
| 21 | Customer_21 | 2024-04-25 | Product A | 46 | 19.99 | 919.54 |
| 22 | Customer_22 | 2024-05-25 | Product D | 23 | 14.99 | 344.77 |
| 23 | Customer_23 | 2024-03-28 | Product C | 8 | 24.99 | 199.92 |
| 24 | Customer_24 | 2024-05-20 | Product B | 47 | 24.99 | 1174.53 |
| 25 | Customer_25 | 2024-01-29 | Product E | 32 | 34.99 | 1119.68 |
| 26 | Customer_26 | 2024-01-26 | Product A | 12 | 24.99 | 299.88 |
| 27 | Customer_27 | 2024-01-21 | Product A | 49 | 24.99 | 1224.51 |
| 28 | Customer_28 | 2024-02-14 | Product E | 43 | 19.99 | 859.57 |
| 29 | Customer_29 | 2024-02-10 | Product E | 31 | 9.99 | 309.69 |
| 30 | Customer_30 | 2024-04-19 | Product B | 34 | 34.99 | 1189.66 |
| 31 | Customer_31 | 2024-05-20 | Product B | 15 | 14.99 | 224.85 |
| 32 | Customer_32 | 2024-01-05 | Product C | 9 | 9.99 | 89.91 |
| 33 | Customer_33 | 2024-03-26 | Product D | 37 | 34.99 | 1294.63 |
| 34 | Customer_34 | 2024-01-17 | Product C | 39 | 9.99 | 389.61 |
| 35 | Customer_35 | 2024-02-17 | Product E | 9 | 24.99 | 224.91 |
| 36 | Customer_36 | 2024-03-17 | Product A | 10 | 14.99 | 149.9 |
| 37 | Customer_37 | 2024-03-28 | Product C | 39 | 19.99 | 779.61 |
| 38 | Customer_38 | 2024-05-16 | Product E | 11 | 24.99 | 274.89 |
| 39 | Customer_39 | 2024-05-17 | Product C | 7 | 14.99 | 104.93 |
| 40 | Customer_40 | 2024-03-31 | Product C | 3 | 24.99 | 74.97 |
| 41 | Customer_41 | 2024-04-30 | Product D | 39 | 24.99 | 974.61 |
| 42 | Customer_42 | 2024-05-07 | Product A | 34 | 19.99 | 679.66 |
| 43 | Customer_43 | 2024-06-02 | Product E | 11 | 9.99 | 109.89 |
| 44 | Customer_44 | 2024-05-30 | Product B | 47 | 19.99 | 939.53 |
| 45 | Customer_45 | 2024-05-16 | Product B | 17 | 19.99 | 339.83 |
| 46 | Customer_46 | 2024-06-12 | Product A | 19 | 24.99 | 474.81 |
| 47 | Customer_47 | 2024-05-22 | Product D | 7 | 14.99 | 104.93 |
| 48 | Customer_48 | 2024-02-19 | Product E | 43 | 14.99 | 644.57 |
| 49 | Customer_49 | 2024-05-13 | Product D | 8 | 9.99 | 79.92 |
| 50 | Customer_50 | 2024-02-24 | Product C | 47 | 34.99 | 1644.53 |
| 51 | Customer_51 | 2024-02-07 | Product B | 8 | 14.99 | 119.92 |
| 52 | Customer_52 | 2024-06-12 | Product D | 25 | 19.99 | 499.75 |
| 53 | Customer_53 | 2024-02-17 | Product A | 29 | 9.99 | 289.71 |
| 54 | Customer_54 | 2024-06-28 | Product A | 11 | 9.99 | 109.89 |
| 55 | Customer_55 | 2024-05-12 | Product A | 36 | 19.99 | 719.64 |
| 56 | Customer_56 | 2024-06-26 | Product E | 49 | 14.99 | 734.51 |
| 57 | Customer_57 | 2024-05-05 | Product C | 26 | 34.99 | 909.74 |
| 58 | Customer_58 | 2024-04-30 | Product B | 6 | 24.99 | 149.94 |
| 59 | Customer_59 | 2024-06-01 | Product E | 32 | 14.99 | 479.68 |
| 60 | Customer_60 | 2024-06-03 | Product A | 5 | 34.99 | 174.95 |
| 61 | Customer_61 | 2024-03-02 | Product C | 27 | 24.99 | 674.73 |
| 62 | Customer_62 | 2024-04-20 | Product A | 8 | 34.99 | 279.92 |
| 63 | Customer_63 | 2024-05-01 | Product C | 33 | 14.99 | 494.67 |
| 64 | Customer_64 | 2024-05-30 | Product A | 12 | 19.99 | 239.88 |
| 65 | Customer_65 | 2024-06-22 | Product D | 48 | 9.99 | 479.52 |
| 66 | Customer_66 | 2024-06-28 | Product B | 28 | 14.99 | 419.72 |
| 67 | Customer_67 | 2024-02-23 | Product E | 28 | 34.99 | 979.72 |
| 68 | Customer_68 | 2024-04-11 | Product B | 50 | 14.99 | 749.5 |
| 69 | Customer_69 | 2024-01-28 | Product B | 17 | 19.99 | 339.83 |
| 70 | Customer_70 | 2024-01-30 | Product C | 11 | 34.99 | 384.89 |
| 71 | Customer_71 | 2024-03-22 | Product E | 34 | 34.99 | 1189.66 |
| 72 | Customer_72 | 2024-02-13 | Product A | 33 | 34.99 | 1154.67 |
| 73 | Customer_73 | 2024-05-22 | Product D | 8 | 9.99 | 79.92 |
| 74 | Customer_74 | 2024-02-08 | Product A | 41 | 9.99 | 409.59 |
| 75 | Customer_75 | 2024-03-22 | Product E | 49 | 14.99 | 734.51 |
| 76 | Customer_76 | 2024-04-19 | Product A | 47 | 34.99 | 1644.53 |
| 77 | Customer_77 | 2024-03-09 | Product B | 44 | 24.99 | 1099.56 |
| 78 | Customer_78 | 2024-01-03 | Product B | 25 | 14.99 | 374.75 |
| 79 | Customer_79 | 2024-01-28 | Product A | 41 | 14.99 | 614.59 |
| 80 | Customer_80 | 2024-04-13 | Product A | 27 | 19.99 | 539.73 |
| 81 | Customer_81 | 2024-04-22 | Product C | 9 | 19.99 | 179.91 |
| 82 | Customer_82 | 2024-06-07 | Product E | 20 | 24.99 | 499.8 |
| 83 | Customer_83 | 2024-02-07 | Product C | 8 | 24.99 | 199.92 |
| 84 | Customer_84 | 2024-03-21 | Product B | 45 | 9.99 | 449.55 |
| 85 | Customer_85 | 2024-03-04 | Product A | 35 | 34.99 | 1224.65 |
| 86 | Customer_86 | 2024-02-08 | Product E | 36 | 34.99 | 1259.64 |
| 87 | Customer_87 | 2024-05-08 | Product A | 28 | 19.99 | 559.72 |
| 88 | Customer_88 | 2024-01-06 | Product B | 23 | 14.99 | 344.77 |
| 89 | Customer_89 | 2024-03-25 | Product C | 1 | 14.99 | 14.99 |
| 90 | Customer_90 | 2024-05-31 | Product E | 5 | 34.99 | 174.95 |
| 91 | Customer_91 | 2024-02-16 | Product B | 9 | 24.99 | 224.91 |
| 92 | Customer_92 | 2024-03-31 | Product A | 47 | 14.99 | 704.53 |
| 93 | Customer_93 | 2024-03-22 | Product B | 1 | 34.99 | 34.99 |
| 94 | Customer_94 | 2024-05-05 | Product B | 10 | 9.99 | 99.9 |
| 95 | Customer_95 | 2024-06-13 | Product A | 38 | 9.99 | 379.62 |
| 96 | Customer_96 | 2024-05-06 | Product D | 31 | 19.99 | 619.69 |
| 97 | Customer_97 | 2024-05-11 | Product B | 4 | 34.99 | 139.96 |
| 98 | Customer_98 | 2024-02-17 | Product A | 44 | 24.99 | 1099.56 |
| 99 | Customer_99 | 2024-03-04 | Product A | 28 | 34.99 | 979.72 |
| 100 | Customer_100 | 2024-02-25 | Product C | 34 | 9.99 | 339.66 |
Data: large_orders
This table compares features across different plot types in JSPlots.
Use the Table type when you need:
Use PivotTable when you need interactive data exploration with drag-and-drop capabilities.
Comparison of different JSPlots types
| Feature | PivotTable | Table | TextBlock |
|---|---|---|---|
| Interactive | ✓ | ✗ | ✗ |
| Downloadable | ✓ | ✓ | ✗ |
| Data Embedded | ✓ | ✓ | ✗ |
| Multiple Formats | ✓ | ✗ | ✗ |
| Custom Styling | ✓ | ✓ | ✓ |
Data: feature_comparison
This page demonstrated all key Table features:
Tip: Every table includes a 'Download as CSV' button for easy data export!
This page was created using JSPlots.jl.