This topic describes how to create a chart.
See Dashboard overview and Dashboard basic operations before reading this topic. You must create and edit a dataset before creating a chart. For example, you must switch the dimension field type to Location.
For more information about how to create and edit a dataset, see Create a dataset.
For more information about how to switch the dimension type, see Change the dimension type.
Line charts display the trends of data at equal intervals or over time.
Stacked area charts
A stacked area chart is an extension of an area chart. The values of each measure are displayed on top of each other. A stacked area chart displays the data trend and proportions.
100% stacked area charts
A 100% stacked area chart is a stacked area chart that shows percentages rather than absolute numbers.
Vertical bar charts
Vertical bar charts display the differences between data of different categories and the trends of data.
Stacked vertical bar charts
Each bar in a stacked vertical bar chart represents a whole, and segments in the bar represent different parts or categories of that whole.
100% stacked vertical bar charts
Each segment in a bar shows percentages rather than absolute numbers. Each bar in the chart represents a whole, and segments in the bar represent different parts or categories of that whole.
A circular bar chart displays the differences between data of different categories and the trends of data.
A combination chart can display data of different magnitudes by using dual Y-axis.
Horizontal bar charts
Stacked horizontal bar charts
Splits each entry to display the data size of each entry of the same type. Each bar in a chart represents a whole, and segments in the bar represent different parts or categories of that whole.
100% stacked horizontal bar charts
Each segment in a bar shows percentages rather than absolute numbers. Each bar in a chart represents a whole, and segments in the bar represent different parts or categories of that whole.
Pie charts display the size and proportion of each data category.
Bubble maps display the size and distribution scope of metrics by region or country.
Colored maps show the size and distribution of data by using shades of color.
LBS bubble maps
LBS bubble maps use bubbles on a map to reflect the data size.
LBS heat maps
LBS heat maps use different colors to show the data values and ranges.
LBS flying line maps
LBS flying line maps use dynamic flying lines on a map to reflect the data size between two or more locations. It also shows data indicators and the distribution of data for a country or region.
Cross tables show the aggregated value of a field in the table, including the sum, average, count, maximum, and minimum.
Gauges show the range of a specific indicator.
Radar charts show analyzed numbers or ratios.
Scatter charts show the correlation and distribution of data.
A bubble chart displays the data distribution and aggregation information by placing proportionally sized bubbles in corresponding locations.
Funnel charts show values across multiple stages in a process.
Kanbans show the data changes in each stage.
Treemaps display hierarchical data as a set of nested rectangles.
Polar diagrams compare multiple data values.
Word clouds can be used in user profiles and user labels.
Tornado-leaned funnel charts
Tornado-leaned funnel charts compare two objects under different indicators or analyzes a process that has complicated steps.
Hierarchy charts analyze an organizational structure.
Flow analysis charts
Flow analysis charts illustrate the conversion rate of a webpage by comparing page views (PVs) and the number of unique visitors (UVs).