These visualizations can be used for the following purposes:

• View precise values or compare individual data items
• Visualize a list of words, where the size of each word represents a measure assigned to it
• Provide text labels and text boxes

The visualizations can be used for the following purposes:

• Offer precision of numbers and text labels

• Visualize KPI (Key Performance Indicators)

These widgets can be used for the following purposes:

• Control which data is displayed in the visualizations
• Highlight relevant data in visualizations

Column visualizations display data as vertical bars. They are best used for comparisons.

Column visualizations can have the following objectives:

• Display dimensions related to time (months, quarters, years, and so on)
• Display dimensions that represent age or ranges
• Show trends
• Display datasets with negative values

Bar visualizations display data as horizontal bars. They are best used for comparisons.

Bar visualizations can have the following objectives:

• Display dimensions that are not related to time (for example, products, projects, or countries)
• Display data that has long labels
• Rank data
• Show a large difference between the measure values

Line visualizations display information as a series of data points connected through straight lines. They best show changes and trends for periodical data over time.

Markers visualizations show data as a collection of points or bubbles (markers). Each marker has several values that determine its position on the horizontal and vertical axes. The markers can be displayed in different colors if an additional dimension is selected. Markers show various types of correlation in your data.

Area visualizations are similar to line visualizations, but the area between the line segments and the x-axis is filled with a color. They are best used for an overview of the data and not for exact values.

These chart types are used to compare categories that are parts of a whole.

They are usually used to show the percentage of proportional data. All the pieces add up to 100%.

Stock visualizations show the price changes over time for stocks, bonds, currencies, commodities, and other types of financial instruments. These chart types are frequently used in the technical analysis of financial market trends.

Network visualizations show complex relationships between a number of entities.

The geospatial visualizations show the distribution, patterns, or trends of the data related to the geographical location.

Build a visualization based on your custom JavaScript code.