VPasCode Docs

When mapping interconnected networks, structural hierarchies, or complex entity relationships, the Graph Chart (or Network Graph) is the ideal visual framework. By displaying items as nodes and connections as directed or undirected links, graph charts allow users to explore clusters,…

When analyzing activity density, continuous trends, or correlations across two discrete dimensions, the Heatmap Chart provides a powerful visual solution. By mapping data values to a dynamic color scale across a two-dimensional grid, heatmaps allow users to spot peak usage…

When you need to analyze data dispersion and identify unusual data points across groups, the Boxplot Chart (or Box-and-Whisker Plot) is the standard statistical visual tool. By summarizing continuous data into five key numbers—Minimum, First Quartile (Q1), Median (Q2), Third…

When tracking financial markets and asset price movements over time, the Candlestick Chart is the industry-standard visualization tool. By combining four key price points—Open, High, Low, and Close (OHLC)—into a single visual bar, candlestick charts show price volatility, trading range,…

When evaluating complex performance profiles across multiple qualitative or quantitative metrics simultaneously, the Radar Chart (or Spider Web Chart) is an ideal visualization tool. By placing multiple feature scales along radial axes originating from a central point, radar charts display…

When exploring relationships or correlations between two continuous variables, the Scatter Chart (or Scatter Plot) is the primary analytical tool. By plotting data points across a two-dimensional grid based on numeric X and Y coordinates, scatter charts help reveal clusters,…

When presenting cyclical data or visually striking categorical proportions, the Nightingale Chart (also known as a Polar Rose Chart or Coxcomb Chart) offers a compelling visual structure. Created by Florence Nightingale to map public health data, this chart encodes data…

When presenting relative category allocations, the Doughnut Chart offers a modern, high-contrast alternative to traditional solid pie charts. By removing the center core, a doughnut chart shifts visual emphasis from filled area size to arc lengths along the outer ring….

When presenting relative proportions or percentage shares of a single static total, the Pie Chart is a familiar and intuitive choice. By dividing a circle into proportional slices, pie charts allow viewers to quickly grasp how individual components contribute to…

When you need to track both overall total volume and individual sub-component contributions over time, the Stacked Area Chart is the ideal visualization tool. Stacking area fills vertically creates a continuous composite view where the topmost line represents the aggregate…