This tutorial is part of the First Steps series. Complete Normalize with Rosetta Stone before starting.
Prerequisites
- A Narrative I/O account
- At least one dataset in My Data
What you’ll learn
- How to access Data Studio
- How to use Query Builder to select data sources
- How to choose output fields
- How to add filters to narrow your data
- How to create and save a dataset
Steps
Open Data Studio
From the navigation menu, go to My Data to view your available datasets. Then navigate to Data Studio to start creating a new dataset with Query Builder.
Add a data source
In Query Builder, click Add under Sources to choose where your dataset should pull data from. Select My Data as your source, then pick the dataset you want to work with. This dataset becomes the foundation for your filtered output.
Configure output fields
Click Add under Output to control which columns appear in the final dataset. Click Add field to select each column you want to include. Choose the fields that are relevant to your use case—these might include identifiers, timestamps, or any attributes you need for analysis.After selecting your fields, click Continue to confirm your output configuration.
Add a filter
Click Add under Filter to narrow your dataset to specific records. Choose a field to filter on, then select an operator (such as “Is greater than” or “Equals”) and provide a value.For date fields, you can use the calendar picker to select a specific cutoff date. Click Add to apply the filter condition, then confirm to finalize your filter logic.
Create the dataset
Once your sources, outputs, and filters are configured, click Create dataset. Enter a unique name that makes your dataset easy to find and reference later. Click Save to generate the dataset from your query configuration.Your new filtered dataset is now available in My Data for use in analysis, exports, or collaborations.