Modifying a visualization
When a new visualization is created, a suggestion of what to visualize is created by default. You can then modify the visualization to show the values you are interested in by changing the columns shown on various axes, changing the aggregation, the coloring, etc.
Columns and aggregations are changed using the column selectors directly in the visualization, whereas appearance settings are specified using the visualization properties. Right-click the visualization, and select Properties in the opened menu, to change properties.
- Selecting columns on an axis
When creating a visualization, you select which data columns to show on various axes such as on the X-axis, the Y-axis and the color axis. - Aggregating data
Visualizing data involves presenting aggregated values of the data you have loaded. Examples of aggregated values are sums, averages, counts of occurrences, or results from various statistical calculations. That is, they represent collections of data as single values. In most cases, the data to aggregate is numerical, but also non-numerical data can be aggregated. - Adjusting scales on axes
By default, there is only one scale on an axis, and all measures are shown on this scale. If the measures are of completely different magnitudes, or use different units, you might benefit from using other options, for example, adding more than one scale on an axis to visualize the measures. - Adding a zoom slider
Zoom sliders are used to get a closer look at details in your visualization. - Changing display name for an axis
You can specify your own display name for an axis. - Showing/hiding the legend
The legend provides information that helps the viewer identify what is represented in a visualization. You can decide whether or not the legend should be visible. - Specifying the legend appearance
The legend provides information that helps the viewer identify what is represented in a visualization. You can specify the position of the legend within the visualization and what items it should include. - Grouping categories
Sometimes a column in your data contains many categorical values, but some of them are not important to display as separate values. Then you can group these values into a new categorical value. - Creating intervals of numerical data
Numerical data can be grouped into intervals. The intervals are named bins and can be handled as categories in an analysis. - Showing gridlines
You can add gridlines to the visualization background to make it easier to get a reading of the value for an item. Gridlines are dotted lines that are drawn horizontally or vertically from the tick marks on numerical axes.
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