About the Chart component

For example, a pie chart could show the number of transactions for each region.

Pie charts are good for doing a quick assessment of how each value contributes to the whole.

The values are displayed as a pie wedge for each group dimension value. The size of the wedge reflects the relative size of the metric value.

For example, a bar chart could show both the total sales and projected sales for each region.

Bar charts are good for more precise comparisons of one or more values.

On a basic bar chart, for each group dimension value, the series metric values are displayed as a cluster of bars.

Each series metric value may be subdivided using a series dimension value. For example, the chart could show the total sales and projected sales per region for each product line.

If there is a series dimension, then for each group dimension value, the chart displays a separate bar for each combination of series metric and series dimension.

However, instead of displaying a cluster of bars for each metric, the chart creates sections within a single bar.

The stacked bar chart is useful if it is important to see the total value for the series metric.

For example, a line chart could show the change in total sales and the change in sales margins over several years.

Line charts are usually designed to show changes or trends.

For each group dimension value, the series metric value is a data point on the line. Each metric is plotted on a separate line.

Each series metric value may be subdivided using series dimensions. For example, the chart could show the change in total sales per year for each region.

Each combination of series metric and series dimension displays as a separate line on the chart.

For each group dimension value, the series metric value is a data point along the top of the shaded area. Multiple metrics are represented by multiple stacked shaded areas.

Each series metric value may be subdivided further using a series dimension.

The values for some metrics are displayed as bars, and the values for others as lines.

In the single-axis version of the chart, both the bars and lines are plotted against the left vertical axis.

If the lines and bars have different scales, then you can use the dual-axis version, where the bars are plotted against the left vertical axis and the lines against the right vertical axis.

The color dimension determines the number of colors, and the detail dimension controls the number of points in each color. Each color also uses a different shape.

The location of each data point corresponds to the values of the X-axis and Y-axis metrics.

Scatter charts allow you to show correlations between metrics. Hovering the mouse over a data point displays the complete set of dimension and metric values for that point.

The location of each bubble corresponds to the values of the X-axis and Y-axis metrics. The size of each bubble indicates the relative value of a third metric.

Bubble charts allow you to show correlations among multiple metrics. Hovering the mouse over a bubble displays the complete set of dimension and metric values for that bubble.