Create > Tables
Previous |
New |
Paste Data |
Paste or Enter Table |
Lots of Crosstabs |
Crosstabs |
Splice Tables |
(removed) |
Create > Banner
Previous |
New |
Code... |
Logic Variable... |
Create > Correlation
Previous |
New |
Distances |
Distance Matrix |
Create > Correlation
Previous |
New |
Distances |
Distance Matrix |
Create > Dimension Reduction
Previous |
New |
Save Variable(s) |
Save Variable(s) > Components/Dimensions |
Diagnostic > Quality |
Diagnostic > Quality Table |
Plot > Component Plot |
Diagnostic > Component Plot |
Plot > Goodness of Fit |
Diagnostic > Goodness of Fit Plot |
Plot > Scree Plot |
Diagnostic > Scree Plot |
Create > Regression
Previous |
New |
Diagnostic > Heteroscedasticity |
Diagnostic > Test Residual Heteroscedasticity |
Diagnostic > Multicollinearity (VIF) |
Diagnostic > Multicollinearity Table (VIF) |
Diagnostic > Normality (Shapiro-Wilk) |
Diagnostic > Test Residual Normality (Shapiro-Wilk) |
Diagnostic > Serial Correlation (Durbin-Watson) |
Diagnostic > Test Residual Serial Correlation (Durbin-Watson) |
Save Variable(s) > Probabilities |
Save Variable(s) > Probabilities of Each Response |
Create > Marketing > MaxDiff
Previous |
New |
Ensemble |
Ensemble of Models |
(Custom Data Files >) Survey Gizmo MaxDiff |
Convert Alchemer (Survey Gizmo) MaxDiff Data for Analysis |
Diagnostic > Class Parameters |
Diagnostic > Class Parameters Table |
Diagnostic > Class Preference Shares |
Diagnostic > Class Preference Shares Table |
Diagnostic > Parameter Statistics |
Diagnostic > Parameter Statistics Table |
Diagnostic > Posterior Intervals |
Diagnostic > Posterior Intervals Plot |
Save Variable(s) > Compute Preference Shares |
Save Variable(s) > Preference Shares |
Save Variable(s) > Compute Sawtooth-Style Preference Shares (K Alternatives) |
Save Variable(s) > Sawtooth-Style Preference Shares (K Alternatives) |
Save Variable(s) > Compute Zero-Centered Utilities |
Save Variable(s) > Zero-Centered Utilities |
Save Variable(s) > Membership |
Save Variable(s) > Class Membership |
Save Variable(s) > Proportion Correct |
Save Variable(s) > Proportion of Correct Predictions |
Save Variable(s) > RLH |
Save Variable(s) > RLH (Root Likelihood) |
Create > Text Analysis
Previous |
New |
Advanced > Create Term Document Matrix |
Advanced > Term Document Matrix |
Automate > Browse Online Library > Choice Modeling
Previous |
New |
Ensemble |
Ensemble of Models |
(Custom Data Files >) Survey Gizmo Conjoint |
Convert Alchemer (Survey Gizmo) Conjoint Data for Analysis |
Diagnostic > Class Parameters |
Diagnostic > Class Parameters Table |
Diagnostic > Parameter Statistics |
Diagnostic > Parameter Statistics Table |
Diagnostic > Posterior Intervals |
Diagnostic > Posterior Intervals Plot |
Diagnostic > Experimental Design > Balances and Overlaps |
Diagnostic > Experimental Design > Balances and Overlaps of Design |
Diagnostic > Experimental Design > Standard Errors |
Diagnostic > Experimental Design > Parameter Standard Errors of Design |
Save Variable(s) > Membership |
Save Variable(s) > Class Membership |
Save Variable(s) > Proportion Correct |
Save Variable(s) > Proportion of Correct Predictions |
Save Variable(s) > RLH |
Save Variable(s) > RLH (Root Likelihood) |
Legacy Choice Modeling > Choice-Based Conjoint (CBC) Setup > JMP |
Analyze with Experiment Question (Legacy) > Experiment Question from JMP Files |
Legacy Choice Modeling > Choice-Based Conjoint (CBC) Setup > Sawtooth CHO Format |
Analyze with Experiment Question (Legacy) > Experiment Question from Sawtooth CHO Files |
Legacy Choice Modeling > Choice-Based Conjoint (CBC) Setup > Sawtooth Dual File Format |
Analyze with Experiment Question (Legacy) > Experiment Question from Sawtooth Dual Format Files |
Legacy Choice Modeling > Compute Importance |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Compute Importance |
Legacy Choice Modeling > Compute Utilities |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Utilities |
Legacy Choice Modeling > Compute Utilities with 0 to 100 Scaling |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Utilities (Min 0, Max 100) |
Legacy Choice Modeling > Compute Within-Attribute Preference Shares (Utilities) |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Within-Attribute Preference Shares |
Legacy Choice Modeling > Compute Zero-Centered Diffs (Utilities) |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Zero-Centered Diffs (Utilities with Mean 0, Mean Range 100) |
Automate > Browse Online Library > Computations
Previous |
New |
Adding Average Columns to Tables Containing Spans |
Add Average Columns to Tables Containing Spans |
Adding Average Rows to Tables Containing Spans |
Add Average Rows to Tables Containing Spans |
Adding Rows to Display the Effective Column n |
Add Rows to Display Effective Column n |
The Average of Each Column |
Average of Each Column |
The Average of Each Row |
Average of Each Row |
The Difference Between a Pair of Columns |
Difference Between Pair of Columns |
The Difference Between a Pair of Rows |
Difference Between Pair of Rows |
The Weighted Average of Each Column |
Weighted Average of Each Column |
Automate > Browse Online Library > Correlation
Previous |
New |
Correlation > Distances |
Correlation > Distance Matrix |
Automate > Browse Online Library > Create New Variables
Previous |
New |
Binary |
Binary Variable(s) |
Combine Several Questions as a Grid |
Combine Variable Sets as a Grid |
Bottom 2 Category Variables (That is, Bottom 2 Boxes) |
Bottom 2 Category Variable(s) (Bottom 2 Boxes) |
Bottom 3 Category Variables (That is, Bottom 3 Boxes) |
Bottom 3 Category Variable(s) (Bottom 3 Boxes) |
Bottom K Category Variables (That is, Bottom K Boxes) |
Bottom K Category Variable(s) (Bottom K Boxes) |
Top 2 Category Variables (That is, Top 2 Boxes) |
Top 2 Category Variable(s) (Top 2 Boxes) |
Top 3 Category Variables (That is, Top 3 Boxes) |
Top 3 Category Variable(s) (Top 3 Boxes) |
Top K Category Variables (That is, Top K Boxes) |
Top K Category Variable(s) (Top K Boxes) |
Create Variables from Merged Categories |
Variable(s) from Merged Categories |
Flatten Variable Set(s) |
Flatten |
Identifying and Removing Outliers |
Variable(s) with Outliers Removed |
Log |
Log Transform Variable(s) |
Midpoint Coding and Quantification |
Numeric Variable(s) from Code/Category Midpoints |
NPS Recoding |
Recode Net Promoter Score (NPS) Variable(s) |
Rebase Multiple Response Data to NET |
Rebase Multiple Response Data in Variable(s) to NET |
Scale Within Case > Center |
Scale Variable(s) > Center Within Case |
Scale Within Case > Rank |
Scale Variable(s) > Ranks Within Case |
Scale Within Case > Standardize |
Scale Variable(s) > Standardize Within Case |
Scale Within Case > Unit |
Scale Variable(s) > Unit Interval Within Case |
Scale Within Variable > Center |
Scale Variable(s) > Center Within Variable |
Scale Within Variable > Rank |
Scale Variable(s) > Ranks Within Variable |
Scale Within Variable > Standardize |
Scale Variable(s) > Standardize Within Variable |
Scale Within Variable > Unit |
Scale Variable(s) > Unit Interval Within Variable |
Square-root |
Square-Root Variable(s) |
Translate |
Translate Text |
Automate > Browse Online Library > Data
Previous |
New |
Geocode IPs |
Countries from IP Addresses (Geocoding) |
Automate > Browse Online Library > Delete Tables and Plots
Previous |
New |
Broken Tables |
Delete If Broken |
If not significant at the 0.001 level (99.9%) |
Delete If Not Significant at the 0.001 Level (99.9%) |
If not significant at the 0.01 level (99%) |
Delete If Not Significant at the 0.01 Level (99%) |
If not significant at the 0.05 level (95%) |
Delete If Not Significant at the 0.05 Level (95%) |
Delete If Not Significant at a Specified Level |
Delete If Not Significant at Specified Level |
Delete If Sample Size Lower Than Specified Value |
Delete If Sample Size Lower Than Specified Value |
Automate > Browse Online Library > Dimension Reduction
Previous |
New |
Save Variable(s) |
Save Variable(s) > Components/Dimensions |
Diagnostic > Quality |
Diagnostic > Quality Table |
Plot > Component Plot |
Diagnostic > Component Plot |
Plot > Goodness of Fit |
Diagnostic > Goodness of Fit Plot |
Plot > Scree Plot |
Diagnostic > Scree Plot |
Automate > Browse Online Library > Filtering
Previous |
New |
Change Filters on Selected Tables |
Change Filter on Selected Tables |
Filter One Question by Another Question |
Filter One Question by Another |
Train-Test Split |
Filters for Train-Test Split |
Train-Validation-Test Split |
Filters for Train-Validation-Test Split |
Automate > Browse Online Library > Hide/Unhide
Previous |
New |
Change Filters on Selected Tables |
Change Filter on Selected Tables |
Train-Test Split |
Filters for Train-Test Split |
Hide |
Hide Questions |
Hide Large Questions |
Hide Questions with Many Categories |
Hide Selected Questions |
Hide Questions from a List |
Unhide All |
Unhide All Hidden Questions |
Unhide Large Questions |
Unhide Questions with Many Categories |
Unhide Selected Questions |
Unhide Questions from a List |
Automate > Browse Online Library > Marketing
Previous |
New |
Legacy TURF (Total Unduplicated Reach and Frequency) |
Legacy TURF Analysis |
Automate > Browse Online Library > Marketing > MaxDiff
Previous |
New |
Ensemble |
Ensemble of Models |
(Custom Data Files >) Survey Gizmo MaxDiff |
Convert Alchemer (Survey Gizmo) MaxDiff Data for Analysis |
Diagnostic > Class Parameters |
Diagnostic > Class Parameters Table |
Diagnostic > Class Preference Shares |
Diagnostic > Class Preference Shares Table |
Diagnostic > Parameter Statistics |
Diagnostic > Parameter Statistics Table |
Diagnostic > Posterior Intervals |
Diagnostic > Posterior Intervals Plot |
Save Variable(s) > Compute Preference Shares |
Save Variable(s) > Preference Shares |
Save Variable(s) > Compute Sawtooth-Style Preference Shares (K Alternatives) |
Save Variable(s) > Sawtooth-Style Preference Shares (K Alternatives) |
Save Variable(s) > Compute Zero-Centered Utilities |
Save Variable(s) > Zero-Centered Utilities |
Save Variable(s) > Membership |
Save Variable(s) > Class Membership |
Save Variable(s) > RLH |
Save Variable(s) > RLH (Root Likelihood) |
Analyze as a Ranking Question > Compute Preference Shares from Individual-Level Parameter Means (All Alternatives) |
Analyze with Ranking Question (Legacy) > Preference Share Variables Computed from Individual-Level Parameter Means (All Alternatives) |
Analyze as a Ranking Question > Compute Sawtooth-Style Preference Shares from Individual-Level Parameter Means (K Alternatives) |
Analyze with Ranking Question (Legacy) > Sawtooth-Style Preference Share Variables Computed from Individual-Level Parameter Means (K Alternatives) |
Analyze as a Ranking Question > Compute Zero-Centered Utilities from Individual-Level Parameter Means (All Alternatives) |
Zero-Centered Utilities Computed from Individual-Level Parameter Means (All Alternatives) |
Analyze as a Ranking Question > MaxDiff Setup from an Experimental Design) |
Analyze with Ranking Question (Legacy) > MaxDiff Ranking Question from Design and Choice Data |
Automate > Browse Online Library > Missing Data
Previous |
New |
Save Variable(s) > Complete Cases |
Save Variable(s) > Filter of Complete Cases |
Automate > Browse Online Library > Modifying Cell Content
Menu renamed to Modify Cell Content.
Previous |
New |
Adding Text to Cells with Large Numbers |
Add Text to Cells with Large Numbers |
Blanking Cells with Small Sample Sizes |
Blank Cells with Small Sample Sizes |
Blanking Cells with Small Values |
Blank Cells with Small Values |
Changing the Color of Cells with Small Sample Sizes |
Change Color of Cells with Small Sample Sizes |
Changing the Missing Data (NaN) Symbol |
Change Missing Data (NaN) Symbol |
Color > Color Selected Rows or Columns |
Color Selected Rows or Columns |
Color - Shade Rows or Columns |
Shade Alternate Rows or Columns |
Color - Shade Spans |
Shade Alternate Spans |
Highlighting Cells Above and Below NET |
Highlight Cells Above and Below NET |
Shading NET Rows and Columns |
Shade NET Rows and Columns |
Automate > Browse Online Library > Modifying Data
Menu renamed to Modify Data.
Previous |
New |
Apply Custom Merges to Scales |
Merge Scales (Custom) |
Create New Bottom K Category NETs (That is, Bottom K Boxes) |
New Bottom K Category NETs (Bottom K Boxes) |
Create New Top K Category NETs (That is, Top K Boxes) |
New Top K Category NETs (Top K Boxes) |
Merge Categories Less Than or Equal To 0.5% |
Merge Categories of Size 0.5% or Less |
Merge Categories Less Than or Equal To 1% |
Merge Categories of Size 1% or Less |
Merge Categories Less Than or Equal To 2% |
Merge Categories of Size 2% or Less |
Merge Categories Less Than or Equal To 3% |
Merge Categories of Size 3% or Less |
Merge Categories Less Than or Equal To 4% |
Merge Categories of Size 4% or Less |
Merge Categories Less Than or Equal To 5% |
Merge Categories of Size 5% or Less |
Move the NET to the Top for all Questions |
Move NET to the Top for All Questions |
Menu renamed to Modify Footers.
Previous |
New |
Adding a Column Header Footnote Indicating Small Sample Sizes |
Add Column Header Footnote Indicating Small Sample Sizes |
Adding a Footer Showing the Smallest Sample Size on the Table |
Add Footer Showing Smallest Sample Size on Table |
Adding a Footnote to Cells with Small Sample Sizes |
Add Footnote for Cells with Small Sample Sizes |
Adding Column Base Sizes |
Add Column Base Sizes |
Menu renamed to Modify Headers.
Previous |
New |
Adding Column Names to the Column Labels |
Add Column Names to Column Labels |
Adding Sample Size to the Column Labels |
Add Sample Size to Column Labels |
Automatically Removing NET From a Table |
Automatically Remove NETs from Table |
Automatically Removing The NET Column |
Automatically Remove NET Column |
Automatically Removing The NET Row |
Automatically Remove NET Row |
Automate > Browse Online Library > Modifying Labels
Menu renamed to Modify Labels.
Previous |
New |
Other Specify Categories as Other |
Relabel Other/Specify Categories as Other |
Automate > Browse Online Library > Modifying Tables or Plots
Menu renamed to Modify Tables or Plots.
Previous |
New |
Number all of the Tables in the Project |
Number All Tables in Project |
Replacing One Question with Another in All Selected Tables and Plots |
Replace Question in All Selected Tables and Plots |
Update Table Page Names and Titles |
Rename Table Page Names and Titles with Table Name |
Ignore Missing Values In Column n In Statistics Below |
Ignore Missing Values in Column n in Statistics Below |
Show Maximum Column n In Statistics Below |
Show Maximum Column n in Statistics Below |
Automate > Browse Online Library > Modifying the Whole Table or Plot
Menu renamed to Modify the Whole Table or Plot.
Previous |
New |
Avoid Showing Outputs With Small Sample Sizes |
Avoid Showing Outputs with Small Sample Sizes |
Creating Rolling Averages |
Replace with Rolling Averages |
Showing A Range Of Rows |
Show a Range of Rows |
Showing Only the Top k and Specified Rows |
Show Only Top K and Specified Rows |
Showing Only the Top k Rows (e.g., top 5 rows) |
Show Only Top K Rows (e.g., Top 5 Rows) |
Show Each Statistic in a Separate Column |
Show Each Statistic in Separate Column |
Unnest a Nested Banner on a Table |
Unnest Nested Banner on Table |
Automate > Browse Online Library > Move Data
Previous |
New |
Move Variables to a New Position |
Move Variables to New Position |
Automate > Browse Online Library > Multivariate
Previous |
New |
All Combinations of Pick Any Categories |
Table of All Combinations of Pick Any Categories |
Automate > Browse Online Library > Plot/Chart
Previous |
New |
Automatically Color Rows or Bars of Plots (and Tables) |
Color Rows of Tables or Bars of Plots |
Automate > Browse Online Library > Preliminary Project Setup
Previous |
New |
Checking for Errors in Data File Construction |
Check for Errors in Data File Construction |
Create Tables for Data Checking |
Tables for Data Checking |
Reverse Scales |
Reverse Scales in Questions |
Automate > Browse Online Library > Quality Assurance
Previous |
New |
Auditing a Project |
Audit This Project |
Automate > Browse Online Library > Quality Assurance
Previous |
New |
Auditing a Project |
Audit This Project |
Automate > Browse Online Library > Recoding
Menu renamed to Recode.
Previous |
New |
Midpoint Coding and Quantification |
Recode Variable(s) Using Code/Category Midpoints |
Recoding Higher Values (Capping) |
Recode High Values (Capping) in Numeric Variable(s) |
Recoding Lower Values (Capping) |
Recode Low Values (Capping) in Numeric Variable(s) |
Setting Higher Values to Missing |
Set High Values to Missing in Numeric Variable(s) |
Setting Lower Values to Missing |
Set Low Values to Missing in Numeric Variable(s) |
Setting the Value of Don't Knows to NaN |
Set Value of Don't Knows to NaN |
Automate > Browse Online Library > Regression
Previous |
New |
Diagnostic > Heteroscedasticity |
Diagnostic > Test Residual Heteroscedasticity |
Diagnostic > Multicollinearity (VIF) |
Diagnostic > Multicollinearity Table (VIF) |
Diagnostic > Normality (Shapiro-Wilk) |
Diagnostic > Test Residual Normality (Shapiro-Wilk) |
Diagnostic > Serial Correlation (Durbin-Watson) |
Diagnostic > Test Residual Serial Correlation (Durbin-Watson) |
Save Variable(s) > Probabilities |
Save Variable(s) > Probabilities of Each Response |
Driver (Importance) Analysis > Beta |
Legacy Driver Analysis > Table of Beta Scores |
Driver (Importance) Analysis > Contribution |
Legacy Driver Analysis > Table of Contribution Scores |
Driver (Importance) Analysis > Elasticity |
Legacy Driver Analysis > Table of Elasticity Scores |
Driver (Importance) Analysis > Kruskal Importance |
Legacy Driver Analysis > Table of Kruskal Importance Scores |
Driver (Importance) Analysis > Linear Regression Coefficients |
Legacy Driver Analysis > Table of Linear Regression Coefficients |
Driver (Importance) Analysis > Relative Importance Analysis |
Legacy Driver Analysis > Table of Relative Weights (Relative Importance Analysis) |
Driver (Importance) Analysis > Shapley Importance |
Legacy Driver Analysis > Table of Shapley Importance Scores |
Automate > Browse Online Library > Segments
Menu renamed to Cluster.
Previous |
New |
Save Variable(s) > Membership |
Save Variable(s) > Cluster Membership |
Automate > Browse Online Library > Significance Testing
Menu renamed to Significance Testing in Tables.
Previous |
New |
Identify Interesting Tables |
Table of Interesting Tables |
Compute Column Comparisons on Grids with Lots of Missing Data |
Column Comparisons on Grids with Lots of Missing Data |
Color Comparisons with a Specific Column |
Color Comparisons with Specific Column |
Automate > Browse Online Library > Sorting and Reordering
Menu renamed to Sort/Reorder Rows or Columns.
Previous |
New |
Sort from Highest to Lowest (Does Not Update When Data Changes) |
Sort Categories from Highest to Lowest (Does Not Update When Data Changes) |
Making One Column Appear After Another |
Make One Column Appear After Another |
Making One Row Appear After Another |
Make One Row Appear After Another |
Sort Rows (Automatically Updates when Data Changes) |
Sort Rows (Automatically Updates When Data Changes) |
Move the NET Row to the Top |
Move NET Row to the Top |
Automate > Browse Online Library > Tables
Previous |
New |
Creating Tables Showing Don't Knows |
Tables Showing Don't Knows |
Lots of Crosstabs |
Crosstabs |
Splice Tables |
(removed) |
Automate > Browse Online Library > Text Analysis > Advanced
Previous |
New |
Create Term Document Matrix |
Term Document Matrix |
Automate > Browse Online Library > TURF
Previous |
New |
Total Unduplicated Reach and Frequency |
TURF Analysis |
(absent) |
Legacy TURF Analysis |
Automate > Browse Online Library > Visualization
Previous |
New |
Create Template |
Template |
Automate > Browse Online Library > Weighting
Previous |
New |
Create Plots with Different Weights for Each Time Period |
Plots with Weights for Each Time Period |
Create Tables with Different Weights for Each Time Period |
Tables with Weights for Each Time Period |
Make Merged Categories Available for Weighting |
Save Question with Merged Categories for Weighting |
Apply a Weight to a Column |
Apply Weight to Column |
Apply a Weight to a Column Span |
Apply Weight to Column Span |