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Understanding Chart Types

Every chart tells a different story. Some charts help you compare values, while others reveal trends, relationships, distributions, or patterns hidden in your data. Choosing the right chart makes your data easier to interpret and helps you communicate insights more effectively. The following chart types are available in Qvista.

Chart Types

Bar Chart

Compare values across different categories using vertical or horizontal bars. Bar charts make it easy to identify the highest, lowest, and overall differences between categories. Best for: Comparing products, regions, departments, or any grouped data.

Line Chart

Track how values change over time by connecting data points with a continuous line. Line charts help reveal trends, growth, declines, and recurring patterns. Best for: Revenue trends, daily visitors, monthly sales, KPI tracking.

Area Chart

An Area Chart builds on a Line Chart by filling the space beneath the line, making overall volume and cumulative growth easier to visualize. Best for: Showing trends while emphasizing total values.

Pie Chart

Display how individual categories contribute to a whole. Each slice represents a percentage of the total, making proportions easy to understand. Best for: Budget allocation, market share, expense breakdown.

Donut Chart

A Donut Chart offers the same insights as a Pie Chart but includes an open center that can display totals or key metrics. Best for: Showing proportions with additional summary information.

Scatter Plot

Plot individual data points to explore relationships between two numeric values. Scatter plots help identify trends, clusters, and outliers. Best for: Correlation analysis and performance comparisons.

Bubble Chart

Bubble Charts extend Scatter Plots by using bubble size to represent an additional value, allowing three variables to be analyzed together. Best for: Multi-dimensional comparisons.

Histogram

Group numeric values into ranges to show how frequently they occur. Histograms reveal the distribution and spread of your data. Best for: Frequency analysis and understanding data distribution.

Stacked Bar Chart

Display totals while also showing how individual categories contribute to those totals. Each bar is divided into segments representing different groups. Best for: Comparing composition across categories.

Stacked Area Chart

Visualise cumulative trends over time while showing the contributions of multiple categories to the total. Best for: Tracking cumulative growth across several data series.

Heatmap

Represent values using color intensity instead of bars or lines. Heatmaps quickly highlight areas of high activity, low activity, and hidden patterns. Best for: Pattern detection, activity analysis, and performance monitoring.

Customization Options

After selecting a chart type, Qvista lets you tailor your visualization to match your data and reporting needs. You can customize:
  • Chart title and description
  • Data source and fields
  • X-axis and Y-axis
  • Colors and themes
  • Labels and legends
  • Sorting and filtering
  • Grouping and aggregation
  • Conditional formatting
  • Drill-down interactions
  • Tooltips and data labels
  • Date ranges
  • Responsive sizing and layout