Marking a row as “cost” labels it as such. This allows positive variances in expenses to be considered unfavorable to the bottom line, while positive variances in revenue rows are considered beneficial. Additionally, the new version offers greater flexibility in measuring column placement and subtotals.
A horizon chart is an advanced visual tool used to represent time series data. Its main purpose is to reveal trends and anomalies in data over time. The distinctive feature of a horizon chart is that it displays stacked layers of data, allowing users to compare multiple categories while maintaining clarity of information.
These charts are especially useful for monitoring belgium telegram data and analyzing complex data over time. By visualizing the stacked layers of data, analysts can identify patterns, changes, and relationships between different categories. This makes them a valuable tool for informed decision-making in areas such as business analysis, strategic planning, and trend assessment.
Key Features:
Horizon Styles: Choose Natural, Linear, or Stepped with adjustable scale.
Layer: Data layer by range or custom criteria. Displays positive and negative values together or separately at the top.
Reference Line: Highlight patterns with lines and X-axis labels.
Colors: Apply over 30 color palettes and use FX rules to color dynamically.
Sort: Filter top/bottom N values, with “Others”.
Grid Line – Adds grid lines to the X and Y axes.