# Create menu

Additional information about the menu items in each section of the **Create** menu, particularly those which use R, can be found by clicking the links below.

**Tables** Tools for generating batches of tables, and for generating special tables.

**Drag and Drop**Create a new question, combining multiple questions together.**Code**Define the columns of a banner by writing code. See Logic Variables for more information.

**Text** Create a text item (i.e., where you can type and format text).

**Image** Insert an image.

**R Output** Create a new output from R Code.

**Correlation** Tools for displaying correlations. For example, create a scatterplot matrix.

**Classifier** Tools for classification. For example, create a classification tree.

**Dimension Reduction** Tools for reducing multi-dimensional data. For example, perform a Principal Components Analysis.

**Analysis of Variance** Tools for ANOVA.

**Regression** Tools for running regression models and driver analysis.

**Segments** Tools for segmentation, including latent class analysis and cluster analysis.

**Marketing** Tools used in market research. Includes TURF and MaxDiff.

**Test** Additional tools for statistical testing.

**Text Analysis** Tools for processing and analyzing text data.

**Variables and Questions**

- Insert Variable(s) Menu Tools for creating new variables.
- Insert Ready-Made Formula(s) Menu Built-in formulas for processing existing variables.

## Earlier Versions of Q

This page describes the **Create** menu in Q4.11.

**Map** Create a perceptual map of the selected data.

**Segments** Create segments using latent class analysis, trees and clustering.

**Table** Create a summary table or crosstab.

**Plot** Create a chart, using the data in the table.

**Text** Create a text item (i.e., where you can type text).

**Image** Insert an image.

**Test for Statistical Significance** Computes the p-value for the cells selected in the table.

**Traditional Multivariate Analysis**

**Cluster Analysis**k-Means Cluster Analysis of the selected data.

**Principal Components Analysis**Principal Components Analysis of the selected data.

**Regression**Regression where the blue drop-down question is the dependent variable.

**Banner** Create a new question, combining multiple questions together.

**Basic Tables** Create a large number of tables.

**Smart Tables** Crosstab one question by other questions, sorting the resulting tables according to statistical significance.

**Variables and Questions**