A typical interactivity may look like the app you are now looking at. It would consist of:

  • A header and a footer with static information such as the name of the interactivity and links to OpenRisk resources
  • The Tasks tabs (like the one you are now reading). These tabs hold instructions for performing specific tasks
  • Content blocks that be numerical data inputs or outputs, visual outputs (graphs), and various controls (sliders, dials or buttons). The content blocks provide you with information that you need to analyze and controls with which to interact with the app to reach a desired outcome.
Time to get to know some of the content blocks using the Task tabs. Click first on the "Tabular data" tab to learn about the display and use of tables.

In this first task our objective is to understand how to work with input data tables. This app has two data table areas. The one to the left (which is now highlighted) is a data input area. There is also a data output on the right, which we will explore in another task. In this simplified rendition the input data consists of only two columns, an exposure ID and an exposure amount. The numbers in the exposure column are italicized. This means that the data in this column are editable. You can click on any of the values and adjust it. Why don't you go ahead and try it out!

Here is a list of points to remember about input data tables:

  • They hold the key quantitative information for the app
  • The editable data are italicized
  • The app will automatically check for permissible values and will reject these that are outside the required range (try to enter negative values for example).
  • You may get visual feedback of the changed data also in associated graphs

Once you know how to adjust input tabular data by direct editing you can move on to the next task: Alternative ways to adjust data

In the second task we look into alternative ways of modifying the inputs to the app. Here we have set of slider inputs (highlighted). These sliders are in this instance bound to the first four values of the exposures table. Go ahead, try out modifying the slider settings and observe the changes in the page.

Here is a list of points to remember about alternative input methods data tables:

  • They come in different forms (sliders, dials etc.)
  • They are bound to select input data elements
  • They will have built-in ranges of variation
  • You may get visual feedback of the changed data also in associated tables and graphs

Finally in the next task we use further controls to actually calculate something and look at the outcome

In the final task we look at the last element required for using this particular app, which involves using controls to calculate or restart and output elements reporting the results. The relevant elements are again highlighted. At the lower left corner we have the execution controls. In this case this is simply a "calculate" button that uses the current dataset to calculate certain metrics. The outcomes are shown in the outputs box in the upper right corner. If you really have not pressed the calculate button so far you are hereby granted permission to do so!

Here is a list of points to remember about control buttons and outputs:

  • You use control buttons to execute a calculation or restart an exercise
  • Depending on the app, the calculation may be a long one, in which case you might see a progress bar or a similar indicator
  • Once the outputs are available they will be shown (with annotation) in a output content block
  • You can repeat calculations as many times as you need

You have now reached the end of this interactivity demo. You can close this page and return to your Academy course.

Exposure Data
Exposure ID Exposure
1 40
2 20
3 13.3
4 10
5 8
6 6.7
7 5.7
8 5
9 4.4
10 4
11 3.6
12 3.3
13 3.1
14 2.9
15 2.7
16 2.5
17 2.4
18 2.2
19 2.1
20 2
Simple Exposure Metrics
Metric Value
Max 0.0
Min 0.0
Mean 0.0
Exposure 1:
Exposure 2:
Exposure 3:
Exposure 4: