- Setting up data 2 articles →
- Settings and controls 7 articles →
- Browsing Data 6 articles →
- Analyzing Data 13 articles →
- Importing data 4 articles →
- Deriving Variables 4 articles →
- Using Crunch for analysis 3 articles →
- Sharing Data Crunch allows users to share data easily. Learn how: from sharing a dataset to managing permissions and teams. 8 articles →
- Reporting and deliverables 5 articles →
- Importing and Cleaning Data Quickly import and clean your data in Crunch. Learn how to create, hide, delete, and organize variables. 15 articles →
- How to do stuff in R 28 articles →
- Dataset Properties Learn how to completely manage your datasets properties 9 articles →
- Crunch How-To Guides 1 articles →
- How To Step-by-step guides of some common workflows 25 articles →
- Dashboards 6 articles →
- Dataset Level User Access ★
- Navigating datasets
- How to find a dataset
- The Filter Builder: making a filter with two or more variables
- Filtering data
- Changing user settings
- Time series analysis with time plots ★
- How to investigate the significance between variables
- Customize Export Settings
- Category Subtotals
- An Introduction to Crunch’s Hypothesis Testing
- Hypothesis testing in Crunch
Sharing Data
Crunch allows users to share data easily. Learn how: from sharing a dataset to managing permissions and teams.
- Dataset Sharing for Dataset Editors
- Dataset Sharing for Dataset Viewers
- Team-based user management workflow
- Creating a CrunchBox
- Editing, Deleting, and Refreshing CrunchBoxes
- Managing Permissions on Folders and Datasets
Importing and Cleaning Data
Quickly import and clean your data in Crunch. Learn how to create, hide, delete, and organize variables.
- Combining Datasets
- Creating and Publishing Drafts
- Joining Data
- Appending Data
- Weighting
- Hiding and Deleting Variables
- Setting up a dataset with R ★
- Stacking a dataset using R
- Creating a datetime variable from a categorical wave variable using R
- How to detect straight-liners (flat-liners) using R
- Coding spontaneous brand awareness questions using R
- Transforming different mentions of coded text data into a single multiple response variable in R
Dataset Properties
Learn how to completely manage your datasets properties
- Viewer Permissions and Default Weight
- Users
- Dataset History
- Archiving and Deleting Datasets
- Exclusions
- Organizing Variables
How To
Step-by-step guides of some common workflows
- How to add subtotals to a variable
- How do missing values work in Crunch?
- Market size and Population can be confusing when we select "complete cases"
- How to share a single dataset with a user
- How to set a dataset's market size
- How to organize variables in folders