Analyzing data
You have many opportunities to interact with your data.
- Opening an analysis saved in the library
You can open analyses saved in the library to continue working with them, or to just view analyses created by colleagues. - 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. - Analyzing marked data with recommendations
You can mark data that you are particularly interested in and then explore it from different perspectives. For example, you can view the details of the marked data in Details-on-demand, or you can create details visualization. - Drilling down into details
If you want to drill down into specific data in a visualization, you can create a details visualization of a suitable type and configure it to your needs. In the main visualization, you mark the data that you want detailed information about, and in the created details visualization, solely the currently marked data will be shown. - Displaying item details
The actual values of the data rows that are included in visualization items (like bars in a bar chart or sectors in a pie chart) can be viewed in the Details-on-Demand panel. - Making your own calculations
To get insight into your data, you set up visualizations using various data columns, aggregation methods, and visualization properties. Often you can retrieve even more knowledge of the data by making your own calculations on it. - Grouping data
When working with an analysis, it might be beneficial to group the data in various ways to serve different purposes. - Find
The Find tool is a fast way to find contents in your data. It consists of a text field where you enter a search string and a list of results for the search. - Statistical tools
When you are authoring analyses in the installed client, you often have access to additional calculation and prediction tools. Which tools you can use depends on the license features enabled.
- Opening an analysis saved in the library
You can open analyses saved in the library to continue working with them, or to just view analyses created by colleagues. - 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. - Analyzing marked data with recommendations
You can mark data that you are particularly interested in and then explore it from different perspectives. For example, you can view the details of the marked data in Details-on-demand, or you can create details visualization. - Drilling down into details
If you want to drill down into specific data in a visualization, you can create a details visualization of a suitable type and configure it to your needs. In the main visualization, you mark the data that you want detailed information about, and in the created details visualization, solely the currently marked data will be shown. - Displaying item details
The actual values of the data rows that are included in visualization items (like bars in a bar chart or sectors in a pie chart) can be viewed in the Details-on-Demand panel. - Making your own calculations
To get insight into your data, you set up visualizations using various data columns, aggregation methods, and visualization properties. Often you can retrieve even more knowledge of the data by making your own calculations on it. - Grouping data
When working with an analysis, it might be beneficial to group the data in various ways to serve different purposes. - Find
The Find tool is a fast way to find contents in your data. It consists of a text field where you enter a search string and a list of results for the search. - Statistical tools
When you are authoring analyses in the installed client, you often have access to additional calculation and prediction tools. Which tools you can use depends on the license features enabled.