Creating a visualization
Data can be of many different kinds. Therefore, several types of visualizations are offered to present it in a relevant way. To create visualizations, either use Recommended visualizations or create the visualizations from scratch.
Using Recommended visualizations
When adding data and selecting data columns of interest, you are presented with recommended visualizations. Simply choose visualizations you find suitable, and use them as they are, or adjust them to suit your needs. To open the Recommended visualizations dialog again, click
.
- Creating a table
The table visualization presents all details of the loaded data. The individual values are arranged in columns and rows. - Creating a cross table
Cross tables are used to summarize large amounts of data, and then present the result in a structured table format. - Creating a bar chart
In a bar chart, you can compare values for different categories in your data. - Creating a waterfall chart
A waterfall chart shows how a value changes after being affected by various factors that either increase the value, or decrease it. The resulting value is then presented. - Creating a line chart
A line chart is used for showing trends, and in most cases trends over time. It can also be used for discerning certain patterns. - Creating a combination chart
In a combination chart, you have the option to display both bars and lines in a single visualization. Because of the overlay effect, lines are drawn on top of the bars, it is easy to compare values for different columns or categories in your data. Trends can be identified, and you can spot deviations directly. - Creating a pie chart
A pie chart is a circle graph that is divided into sectors. It is used to compare values for different categories in your data on a relative basis. Each pie sector represents a specific category, and its size the category's contribution to the whole value, expressed as a percentage. The values are usually sums. - Creating a scatter plot
In a scatter plot, markers are displayed in a two-dimensional coordinate system. It is useful for getting an overview of how your data is distributed across two dimensions. - Creating a map chart
The Spotfire Business Author map chart is a container designed to hold map layers to display data in a geographical context. The map chart has its own properties that control the characteristics of the container and the layers you add to it. When you create a map chart, a map layer is also supplied by default, and optionally a feature or marker layer (depending on the data Spotfire Business Author is interpreting). - Creating a treemap
A treemap is used for displaying huge amounts of data that can be structured hierarchically (tree-structured). It presents the data using differently sized and colored rectangles. - Creating a KPI chart
A KPI chart is used to quickly inform about the current performance of a company or organization. You create different KPIs, Key Performance Indicators, which measure factors that are crucial to monitor, and present them in a grid of tiles. Examples of KPIs to monitor are net revenue, sales growth, or customer satisfaction. - Creating a parallel coordinate plot
A parallel coordinate plot is used to compare data values which are of completely different types or magnitudes within a single visualization. The values are normalized and then presented as points on a line with one point per data column. The visualization is useful also for examining patterns. - Creating a histogram
In a histogram, you can show the distribution of numerical data. The entire range of the numerical values is divided into equal intervals on the Category axis, and for each interval, it is indicated on the Value axis how many individual data values that fall within it. - Creating a trellised visualization
A visualization that is trellised is split into a number of panels, where each panel represents a subset of the data. Using trellised visualizations, you can spot similarities and differences between the subsets of data, or within the subsets. - Duplicating a visualization
A copy of a visualization can be created to be used as starting point for creating another similar visualization.
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