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

Publish

Get started with Displayr

TRY DISPLAYR

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