Create > Tables
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New |
| Paste Data |
Paste or Enter Table |
| Lots of Crosstabs |
Crosstabs |
| Splice Tables |
(removed) |
Create > Banner
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New |
| Code... |
Logic Variable... |
Create > Correlation
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New |
| Distances |
Distance Matrix |
Create > Correlation
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New |
| Distances |
Distance Matrix |
Create > Dimension Reduction
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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
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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
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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
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New |
| Advanced > Create Term Document Matrix |
Advanced > Term Document Matrix |
Automate > Browse Online Library > Choice Modeling
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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
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| 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 Add Average of Each Column |
Add Average of Each Column |
| The Add Average of Each Row |
Add Average of Each Row |
| The Difference Between a Pair of Columns |
Add Difference Between Pair of Columns |
| The Difference Between a Pair of Rows |
Add Difference Between Pair of Rows |
| The Add Weighted Average of Each Column |
Add Weighted Average of Each Column |
Automate > Browse Online Library > Correlation
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New |
| Correlation > Distances |
Correlation > Distance Matrix |
Automate > Browse Online Library > Create New Variables
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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
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New |
| Geocode IPs |
Countries from IP Addresses (Geocoding) |
Automate > Browse Online Library > Delete Tables and Plots
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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
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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
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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
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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
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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.
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| 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 Values |
| Shading NET Rows and Columns |
Shade NET Rows and Columns |
Automate > Browse Online Library > Modifying Data
Menu renamed to Modify Data.
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| 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.
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| Adding a Column Header Footnote Indicating Small Sample Sizes |
Add Footnote to Column Label with Small Sample Sizes |
| Adding a Footer Showing the Smallest Sample Size on the Table |
Add Smallest Sample Size |
| Adding a Footnote to Cells with Small Sample Sizes |
Add Footnote to Cells with Small Sample Sizes |
| Adding Column Base Sizes |
Add Column Base Sizes |
Menu renamed to Modify Headers.
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| Adding Column Names to the Column Labels |
Add Column Letters to Column Labels |
| Adding Sample Size to the Column Labels |
Add Sample Size to Column Labels |
| Automatically Removing NET From a Table |
Hide NET Row and Column |
| Automatically Removing The NET Column |
Hide NET Column |
| Automatically Removing The NET Row |
Hide NET Row |
Automate > Browse Online Library > Modifying Labels
Menu renamed to Modify Labels.
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| 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.
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| 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.
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New |
| Avoid Showing Outputs With Small Sample Sizes |
Hide Output if has Small Sample Sizes |
| Creating Rolling Averages |
Replace Value with Rolling Average |
| 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
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New |
| Move Variables to a New Position |
Move Variables to New Position |
Automate > Browse Online Library > Multivariate
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| All Combinations of Pick Any Categories |
Table of All Combinations of Pick Any Categories |
Automate > Browse Online Library > Plot/Chart
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New |
| Automatically Color Rows or Bars of Plots (and Tables) |
Color Rows Based on Row Label |
Automate > Browse Online Library > Preliminary Project Setup
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| 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
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New |
| Auditing a Project |
Audit This Project |
Automate > Browse Online Library > Quality Assurance
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New |
| Auditing a Project |
Audit This Project |
Automate > Browse Online Library > Recoding
Menu renamed to Recode.
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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
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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.
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New |
| Save Variable(s) > Membership |
Save Variable(s) > Cluster Membership |
Automate > Browse Online Library > Significance Testing
Menu renamed to Significance Testing in Tables.
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| 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 for Specified Column |
Automate > Browse Online Library > Sorting and Reordering
Menu renamed to Sort/Reorder Rows or Columns.
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| 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 |
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
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New |
| Create Term Document Matrix |
Term Document Matrix |
Automate > Browse Online Library > TURF
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New |
| Total Unduplicated Reach and Frequency |
TURF Analysis |
| (absent) |
Legacy TURF Analysis |
Automate > Browse Online Library > Visualization
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New |
| Create Template |
Template |
Automate > Browse Online Library > Weighting
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| 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 Specified Column |
| Apply a Weight to a Column Span |
Apply Weight to Specified Column Span |