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
