Filtering data
You can base the visualizations on the entire set of data, or you can base them on certain data values you have filtered to.
When loading data into Spotfire, each column in the data table is represented by a filter.
As data columns contain different types of data, their associated filters are of different types to make it easy to filter to the values you want to keep. However, you can change the filter type that is suggested, if desired.
How to filter data is described in Filtering data using the Data in analysis flyout and Filtering data using the Filters panel. An analysis author with access to the installed client can also add filters to a text area.
Information about filtered data



Above, the expanded view for the Filters panel is shown. To collapse the filter details, click the

Filters can be reset to their original state (all values selected) in different ways:
- Click the
buttons to reset separate filters.
- Right-click a filter in the upper section of the Filters panel and select Reset filter.
- To reset all filters,
click the
button in the detailed view of the Filters panel or the Data in analysis flyout, or select .
- To reset only visible
filters, click the
Reset Visble Filters button,
, in the header of the Filters panel or select . This functionality is based on which filters are shown in the Filters panel only, and not related to any filters added to a text area. This means that if a filter is hidden from the Filters panel, it will not be updated using this action, regardless if it is visible in the text area or not.
- Filtering data using the Data in analysis flyout
In your analysis, you can filter to data in which you are particularly interested and filter out the rest. The filtering can be handled from the Data in analysis flyout. - Filtering data using the Filters panel
In your analysis, you can filter to data in which you are particularly interested and filter out the rest. The filtering can be handled from the Filters panel. - Filter types
A number of filter types are available for filtering the loaded data to certain values in which you are particularly interested. Each filter type has its own characteristics, allowing you to select the most suitable way to filter your data. - Changing filter type
Data columns are by default associated with filters. The filters are of different types depending on the type of data. You can change the filter type though. - Creating a filter transformation
Filtering out data using filters, or deleting marked rows, might sometimes not be permanent enough to remove unwanted data from your analysis, because reloading the data or resetting the filters might bring the undesired data back. If you want to make sure that values gets permanently removed, you can instead add a filter transformation. - Filtering schemes
One of the main strengths of Spotfire is the ability it gives you to filter your data, that is, to control which data should be visible and used in calculations. This means that you can easily show or hide data for specific categories, change the time range to look at, step through a sequence of values one at a time, and so on. Filtering usually affects all pages and visualizations, but you can also define different filtering schemes to be used by different pages or visualizations. - Filtering in related data tables
When you have multiple data tables that are related to each other in your analysis, and the data tables do not include exactly the same values, you might want to handle filtering in the related data tables in different ways, depending on whether you are interested in the filtered values or the filtered out values in the columns that define the relation.