A large variety of chart types are included in Micro Charts. Chart types can be combined in many interesting and visually appealing ways.
A line chart, also commonly known as a sparkline, renders quantitative data as a series of points connected by line segments. Lines can be straight, curved, or stepped. Lines falling below a baseline value can have an alternate style applied. Markers can optionally be displayed and various highlight effects can be applied to certain marker values (such as first/last, high/low, negative, etc.).
Scatter charts render data points where each point is represented by a marker. Similar to line charts, the markers can have various highlight effects applied. Markers can use numerous built-in shapes or can be set to use custom shapes.
An area chart is a derivative of a line chart, where the area between the line and axis is filled in. As with line charts, areas can also be rendered using straight, curved, or stepped lines. Areas falling below a baseline value can have an alternate style applied.
A stacked area chart combines multiple area series to represent cumulative totals.
A 100% stacked area chart ensures that the combined areas fill the chart, and that each area is representative of its percentage of the cumulative total.
A bar chart displays rectangular bars with lengths proportional to the values they represent. Bar spacing can be set and the bars can be changed to render in a vertical orientation instead. High/low and negative bar highlight effects are available.
A stacked bar chart combines multiple bar series to represent cumulative totals.
A 100% stacked bar chart ensures that the combined bars fill the chart, and that each area is representative of its percentage of the cumulative total.
A win/loss chart is a special kind of bar chart where any positive value renders as a full-height upward bar, any negative value renders as a full-height downward bar, and zero values render as a line in the middle. This type of chart provides an absolute view of the data.
A micro chart can contain multiple series, even series of differing types. For instance a line series can be plotted on top of a bar series.
The combination of multiple kinds of series can help make data visualization even more attractive.
A box plot visualizes key statistical measures for a data set, such as the median, mean and quartile values.
A bullet graph is a special kind of bar chart used to display a single value in a context of one or more related values.
Candlestick charts are designed to visualize a change in value over an interval of time, and as such are excellent at showing price movements in stocks, currency values, or securities such as bonds.
A heat map is a type of chart that displays a data value matrix represented through markers of varying colors and/or sizes. The gradient used to determine the color to render for any given value is fully customizable.