Uncover valuable insights from your survey responses by conducting in-depth data analysis. Drill-down into survey responses using built-in formula engine, machine learning, and artificial intelligence capabilities.
Survey Analysis Work Flow:
Steps to perform analysis of survey data:
Step 1: Fetch Data from Data Store
Step 2: Analyze and Visualize Data
Step 1: Fetch Data from Data Store
As discussed in Surveys, data generated from surveys is saved in Klera’s Data Store. To begin the analysis, you need to fetch the data from the Data Store.
1. Create an Exploration
A. On the Home page, click on 
-> New Exploration. You will now see a New Exploration.
B. Name your exploration.
2. Get Data from Store
A. Right-click on the Floor > Select Dataset > Get Records.
B. In the Get Records pop-up:
- Select Dataset from which you want to retrieve the data.
- Click on Get Records.
3. Bring Data on the Floor
A. You will see the resulting dataset in the View Panel.
B. Drag and drop the dataset from the View Panel on the Floor.
Step 2: Analyze and Visualize Data
With the necessary data on the Floor, you can start analyzing it.
1. Apply Formulas
A. Create computed columns, leverage machine learning, and artificial intelligence to derive intelligence from this data.
To learn more about applying formulas and adding computed columns, refer here.
2. Create Visualizations to analyze complex data
Each visualization has a specific objective. Choosing the right helps you represent and interpret your data effectively.
A. Right-click on the column > select View > New > desired visualization.
To learn more about creating visualizations, refer here .
Final dashboard for this example looks like:
3. Distribute/Publish the Analysis
Once your analysis is complete, you can save your analysis as an App and publish the App to users who are interested in the insights.
A. Save your analysis as an App.
B. Now you are ready to publish this survey to other Klera users in your organization.
To learn more about how to save and publish an App, click here
4. Coordinated Visualizations
A. App users can make use of interactive data filtering and highlighting to drill down for contextual insights.
- When you select a data item in one visualization, the corresponding data in all the other visualizations either gets filtered or highlighted.
B. App users can apply dataset level filters:
- Select view elements (e.g. Slices of a Donut chart or Bar on a Bar chart etc.), a pop-up menu will appear.
- To apply filtering, select the option to Keep Only or Exclude the selected values.
The following image shows that when a data item is selected, the data in the highlighted containers are filtered.
To learn more about Coordinated Visualizations, refer here.
5. Refresh Analysis
App users can fetch the latest data to look at the refreshed analysis.
A. Click on File > Re-execute to refresh the data.
