Core use
Q
Analysis of surveys
by survey research
specialists (e.g., market
researchers, pollsters)
DISPLAYR
Data science novices
through to experts
General-purpose statistics
Online reporting/dashboards
Shared features.
Identical basic computational engine
All statistical analyses are identical
All chart types and visualizations are identical
Each is 100% compatible with the other
Unique features.
Q
Automatic creation of multiple tables
Banners
QScripts
Ready-made formulas
Rules
Large-scale latent class &
mixture model models
Bigger data
Exporting editable charts to Office
Automatically update Office documents
Drag and drop for weights
& complex filters
DISPLAYR
Lay out multiple outputs on a
single PowerPoint-like page
Publish data as an online
report/dashboard
Automatically update data
(e.g., every hour)
Automatically update data
(e.g., every hour
Accessible from a web-browser
Workflow: One-off projects
Analyze in Q
Upload, format, publish +
present in Displayr
Workflow: Ongoing projects (e.g.,
trackers)
1.
Perform the
initial setup
in Q
2.
Upload the Q Pack
to Displayr
(the host)
3.
Use Q for special-
purpose re-analysis on
an as-needs basis
Why host in Displayr?
Displayr documents can be:
- Edited by multiple people at the same time
- Exported as dashboards, permitting them to be viewed
by people that do not have licenses - Any work done in Q can be viewed in Displayr
- Displayr can automatically update with data and republish documents
Workflow: Crosstab-lite projects.
Do it all in Displayr
Import
Analyze
Visualize
