TapClicks has many grid widget styling options that can help you communicate more clearly with data listed in a grid or table view.
These enhancements give you greater control over how your data is presented, with features like color coding, heat maps, and grouped column formatting. Whether you’re creating detailed reports or presenting key metrics, these styling tools make it easy to highlight trends, focus on priorities, and deliver impactful insights.
Color Banding
Color banding is a grid styling feature that alternates row or column colors to improve data readability. By applying a subtle background color to every other row or column, this feature makes it easier to track data points across wide tables or dense datasets.
When presenting campaign performance data with multiple metrics (e.g., impressions, clicks, and conversions), color banding helps users quickly follow a specific row across the grid without losing focus.
Color banding helps by:
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Enhancing visual clarity by distinguishing rows or columns.
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Reducing the likelihood of misreading data when working with large grids.
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Providing a clean and professional look for reports and dashboards.
Wrap Text
The Wrap Text feature ensures that longer text fields automatically adjust to fit within the grid cell. Instead of being cut off or overflowing, text wraps to multiple lines, keeping all content visible.
When dealing with lengthy campaign names, product descriptions, or notes, Wrap Text ensures that the full content is displayed within the grid without compromising other data fields.
Wrap text helps by:
• Preventing important information from being truncated.
• Maintaining a clean and organized grid layout.
• Saving users from the hassle of resizing columns manually.
Grouped Column Plot
The Grouped Column Plot organizes metrics into multiple labeled groupings within a grid. Each group can have distinct background colors, improving readability and emphasis.
Compare performance metrics such as impressions, clicks, and conversions for different campaigns in a visually distinct manner.
Grouped Column Plot helps by:
- Clearly separating metric categories for quick comparison.
- Enhancing the visual structure of reports, especially when dealing with multiple related columns.
Heat Map Plot
The Heat Map Plot applies a gradient background color to each cell in a column, visually representing the range of values and their relative magnitudes.
Assess click-through rates across campaigns, with darker colors indicating higher performance.
Heat Map Plot helps by:
- Quickly illuminating outliers or top-performing data points.
- Highlighting trends within a dataset for better decision-making.
For more inspiration, see these articles:
How to Style the Grid/Table Widget
Using Data Grid (Table) Widget Plot Types: Best Practices