Charts (Basic)
What is a Chart Component?
The Chart component creates visual representations of data, making it easier for users to interpret information by converting raw data into intuitive graphical formats. Adding charts to your solution enables interactive and insightful data visualizations.
When to use
Use Charts when you need to present data in a way that highlights key insights and trends. Charts allow for interactions such as zooming, filtering, and drilling down into specific data points, and they convert complex data into easy-to-understand visual formats like bar charts, line graphs, pie charts, and more. Charts are ideal for solutions that require tracking performance and KPIs over time, allowing for easy monitoring and analysis.
When not to use
The Chart dashboard component should not be used if the data to be presented is minimal and does not require detailed visualization or when the data is primarily text-based. In this instance visual representations may not be the most effective way to communicate information.
Properties
Chart Types
Area: An area chart or area graph displays graphically quantitative data, and it is based on the line chart. The area between the axis and the line is commonly emphasized with colors, textures, and hatchings. Commonly, two or more quantities are compared with an area chart. Area charts are used to represent cumulated totals using numbers or percentages over time. Use the area chart to show trends over time among related attributes.
Bar: A bar graph is a chart that uses vertical bars to show comparisons among categories. One axis of the chart shows the specific categories being compared, and the other axis represents a discrete value.
Bubble: A bubble chart is a variation of a scatter chart in which the data points are replaced with bubbles, and an additional Dimension of the data is represented in the size of the bubbles.
Candlestick: A candlestick chart blends elements of a line chart and a bar chart, with each bar showing the price range movement over a specified time interval.
Doughnut: A doughnut chart is similar to a pie chart but includes a blank center and can consolidate multiple data statistics into a single visualization.
Horizontal Bar: A horizontal bar graph is a chart that uses horizontal bars to show comparisons among categories. One axis of the chart shows the specific categories being compared, and the other axis represents a discrete value.
Horizontal Stacked Bar: A horizontal stacked bar chart stacks multiple data points in each bar on the chart instead of a single data point.
Line: A line chart displays information as a series of data points connected by straight line segments.
Pie: A pie chart is a circular chart divided into sectors, illustrating numerical proportions.
Range: The range chart displays a range of data by plotting two Y values per data point, with each Y value being drawn as a line chart. The range between the Y values can then be filled with color.
Scatter: A scatter chart displays numerical values along the horizontal and the vertical axis, combining these values into single data points that are displayed in uneven intervals.
Spline: A spline chart is a specialized form of a line chart. Unlike conventional charts which connect data points with straight lines, a spline chart draws a fitted curve through the data points.
Spline Area: A spline area chart is a specialized form of an area chart. Unlike conventional charts which connect data points with straight lines, a spline chart draws a fitted curve through the data points.
Spline Range: The spline range chart displays a range of data by plotting two Y values per data point, with each Y value drawn as a line chart. The range between the Y values can be filled with color.
Stacked Area: The stacked area chart stacks two or more data series on top of one another.
Stacked Area 100: The stacked area 100 chart displays multiple series of data as stacked areas. The cumulative proportion of each stacked element is always 100% of the Y axis.
Stacked Bar: A stacked bar chart stacks multiple data points in each bar on the chart instead of a single data point.
Stacked Bar 100: A stacked bar 100 chart displays multiple data series as stacked bars where the cumulative proportion of each stacked element always totals 100%.
Stacked Line: A stacked line chart has lines that do not intersect because they are cumulative at each point.
Stacked Spline: A stacked spline chart has lines that do not intersect because they are cumulative at each point. Like a stacked line chart, but also includes shaded areas between successive data lines
Stacked Spline Area: A stacked spline area chart is very similar to a spline chart. Data is displayed using different colors in the "area" below the line. Each series of points is represented in a different color.
Stacked Spline Area 100: The stacked spline area 100 chart is a variation of the spline area chart. The areas are stacked so that each series adjoins but does not overlap with the preceding series. This chart displays contributions for each data point to the category as a percentage that totals 100%.
Stick: A stick chart is a combination of a line and a bar chart.
Waterfall: A Waterfall chart is a visualization of the sequence of positive and negative values that arrive at a final value.
Create a Chart
- Click Application > Presentation > Workspaces
- Expand the Workspace and Dashboard Maintenance Unit where the Chart will be created, then click on Components.
- Click Create Dashboard Component in the dashboard toolbar.
- Select Chart (Basic) (Windows App Only) from the dialog, then click OK.
- In Name and Description, enter a name and description for the Chart component. Do not use special characters, dashes (-) or underscores (_) in names.
- In the Data Adapters tab, assign a Data Adapter to the Chart.
- Configure the rest of the Chart component properties.
- Click Save.
- Add the Chart component to Dashboard.
- Click Save.
- Test the Dashboard by clicking View Dashboard. The Dashboard with the Chart pulling from the Data Adapter will be displayed in OneStream.