Features

Making it easy for all market researchers to do advanced analysis and visualization.

Easy updating
and automation

Automatically update reports when you get new data.

Full support of the
R Language

Advanced users have the flexibility to
do whatever computations they wish.

Simple to create
and manipulate variables

Intuitive, drag-and-drop, point-and-click.

Statistical testing
based on data type

Automatically performs appropriate
statistical tests based on data type.

Analysis software designed just for market research

  • Top 2 box and other nets by dragging and dropping
  • Multiple statistics on a table (sample size, percentage, average, median, p-values, etc.)
  • Run batches of tables
  • Automatically find the most interesting tables (Smart Tables)
  • Banners of multiple questions
  • Excel as tables, charts and raw data
  • PowerPoint as tables and charts
  • Word as tables and charts
  • PDFs, SPSS files, CSV files, QPacks
  • Online dashboards (hosting priced separately)
  • Editable office graphics
  • Pie charts
  • Column charts
  • Bar charts
  • Line charts
  • Bubble charts
  • Histograms
  • Scatter plots
  • Labelled scatter plots
  • Perceptual maps
  • Gauge plots
  • Single response
  • Multiple response
  • Back coding
  • Share code frames between projects
  • Automatically code identical text
  • Automatic creation of standard variables (sums, averages, counts, etc.)
  • Excel-style formulas for creation of simple variables
  • Fully-featured programming language, JavaScript, for creation of complex variables
  • Apply multiple filters to table and to multiple tables at the same time
  • Create simple filters by selecting cells on a table
  • Create advanced Boolean-logic filter
  • Principal components analysis
  • Latent class analysis – categorical, numeric, rankings
  • K-means cluster analysis
  • Correspondence analysis
  • Multiple correspondence analysis
  • Correspondence analysis of asymmetric square matrices
  • Max-Diff
  • Anchored max-diff
  • Logit
  • Mixed logit
  • Ranking-ordered logit
  • Best-worst logit
  • Availability designs
  • Latent class logit
  • Mixtures of constrained normal distributions
  • Automatically update tables with new data
  • SPSS data files (.sav)
  • SPSS syntax files (.sps)
  • Triple S (.sss)
  • Excel files (.xls and .xlsx)
  • IBM SPSS Data Model files (.mdd)
  • CSV
  • Merge observations to a data file
  • Merge variables to a data file
  • Stack data files
  • Works with massive data files
  • Date questions
  • Moving averages
  • Time series plots
  • Automatically update tables with new data
  • Multiple regression
  • Binary logit
  • Ordered logit
  • Multinomial logit
  • Regression trees
  • Classification trees
  • Full R integration
  • Run code in the R Language from within Q
  • Complete codability
  • GUI interface for common R analyses
  • Correlation
  • Average
  • Percent Column
  • Percent Row
  • Percent Total
  • Percent Sum
  • Coefficient
  • Probability Percent
  • Percent Share
  • Percent Share Rows
  • Percent Share Columns
  • Percent Share Total
  • Trimmed Average
  • Median
  • Mode
  • Standard Deviation
  • Minimum
  • 5th Percentile
  • 25th Percentile
  • 75th Percentile
  • 95th Percentile
  • Maximum
  • Variance
  • Range
  • Interquartile Range
  • Population
  • Base Population
  • Sample Size
  • Effective Sample Size
  • Expected Value
  • z-Statistic
  • T-Statistic
  • p-Value
  • Degrees Of Freedom
  • Effective sample size adjustments for weights to all tests
  • Bonferroni corrections
  • False discovery rate
  • Independent samples
  • t-test with equal variances
  • Independent samples
  • t-test with unequal variances

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