UPCOMING WEBINAR: DIY Data Cleaning & Prep: Super Fast, Super Good Displayr contains all the advanced analysis tools you need and want, they are easy to find and easy to use, and specifically designed for survey data.
All the advanced analyses you dream of using
There's no type of advanced analysis that cannot be performed in Displayr. All the standard tools are available in menus, including:
- Text analysis (e.g., automatic categorization, principal component analysis of text, entity extraction).
- Generalized linear models (e.g., linear regression, binary logistic regression).
- Driver analysis (e.g., Shapley, Johnson's Relative Weights).
- Machine learning (e.g., deep learning, random forest).
- Dimension reduction (e.g., Principal Component Analysis/factor analysis, correspondence analysis).
- MaxDiff (experimental design, Hierarchical Bayes, preference shares).
- Choice-based conjoint (e.g., experimental design, Hierarchical Bayes, utilities, simulators).
Thousands of additional advanced analyses are available via code.
Easy to find out how to do things
There's no need to read through manuals to find the more advanced features. You can search for them, and the "yellow brick road" will show you the way.
Easy to use
Displayr's advanced analyses are designed for busy people in a rush. In particular:
- They are all designed with sensible defaults.
- Each works in the same way as the more standard analyses. That is, you can easily drag data into them, swap data, filter them, and apply weights.
- The outputs are designed so that a single output contains all the key diagnostics on the one output, so there's no need to hunt through multiple outputs trying to extract the key results.
- Expert systems automatically check models and give feedback. For example, the screenshot below shows coaching provided if a user selects the moonplot from a correspondence analysis:
Designed for survey data
Traditional data analysis tools are not designed for surveys. They cannot properly account for weights (the stat tests end up being wrong), they cannot analyze multiple response data and grids, and some can't even display categorical data.
All Display's advanced analysis tools are designed to be used with survey data. In particular, they are designed to be used with categorical data and are designed to produce valid statistical tests with sampling weights.