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# Text

### DISPLAYR.COM

### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

USING R IN DISPLAYR VIDEO SERIES R is one of the most powerful coding languages for analyzing data. It's used by millions of people across the globe, and is free to boot. Here at Displayr, we've seamlessly integrated R with our software to enable those with special custom requirements or analysis needs the ability to implement those alongside our standard features. MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machine### learning.

EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH Convert Strings to Times and Dates in R! References. The source code for flipTime can be viewed and downloaded here.. You can find more information about working with dates and times in R below. HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. 5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER ANALYSIS Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr is an all-in-one statistical analysis and reporting tool designed for survey data. Analyze, visualize and share beautiful dashboards & interactive reports. INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

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USING R IN DISPLAYR VIDEO SERIES R is one of the most powerful coding languages for analyzing data. It's used by millions of people across the globe, and is free to boot. Here at Displayr, we've seamlessly integrated R with our software to enable those with special custom requirements or analysis needs the ability to implement those alongside our standard features. MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machine### learning.

EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH Convert Strings to Times and Dates in R! References. The source code for flipTime can be viewed and downloaded here.. You can find more information about working with dates and times in R below. HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. 5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER ANALYSIS Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25.### LOG IN | DISPLAYR

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### DISPLAYR FOR TURF

Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an eye, but is so easy to use that you can do your own TURF even if you haven't even done one before. HOW TO SORT DATA IN R By default, R will sort the vector in ascending order. However, you can add the decreasing argument to the function, which will explicitly specify the sort order as in the example above.. Sorting Data Frames. In R, a data frame is an object with multiple rows and multiple### columns.

LEARN HOW TO OPTIMIZE PRODUCT RANGES USING TURF, FACTOR Tim Bock, Founder of Displayr. Tim is a data scientist, who has consulted, published academic papers, and won awards, for problems/ techniques as diverse as neural networks, mixture models, data fusion, market segmentation, IPO pricing, small sample research, and data### visualization.

### SIGN UP | DISPLAYR

Visualize and analyze data Create and share dashboards Access Displayr Professional features for up to 10 hours### WHAT IS R-SQUARED?

Key properties of R-squared. R-squared, otherwise known as R² typically has a value in the range of 0 through to 1.A value of 1 indicates that predictions are identical to the observed values; it is not possible to have a value of R² of more than 1. A value of 0 indicates that there is no linear relationship between the observed and predicted values, where “linear” in this context means HOW CORRESPONDENCE ANALYSIS WORKS (A SIMPLE EXPLANATION Correspondence analysis is a data science tool for summarizing tables.This post explains the basics of how it works. It focuses on how to understand the underlying IDENTIFYING DRIVERS OF CUSTOMER SATISFACTION It's one thing to know how satisfied your customers are, it's quite another to understand why.Customer satisfaction driver analysis aims to uncover the factors that influence -- or drive -- satisfaction. A customer feedback survey should ask respondents for their level of satisfaction with various features or aspects of your product or service, not just their overall satisfaction. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? Structurally missing data. Structurally missing data is data that is missing for a logical reason.In other words, it is data that is missing because it should not exist. In the table below, the first and third observations have missing values for Age of youngest child. HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR Sometimes it's necessary to direct users away from your lovely dashboards. Manually entering links into Displayr (with Insert Hyperlink) means that you can link from any image or text on your pages, but what if you have a lot of links to create, or if you have a sample of companies' (with their website URLs) websites and would like to direct the dashboard user to that website? DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

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USING R IN DISPLAYR VIDEO SERIES Using R in Displayr Video Series. R is one of the most powerful coding languages for analyzing data. It's used by millions of people across the globe, and is free to boot. Here at Displayr, we've seamlessly integrated R with our software to enable those with special custom requirements or analysis needs the ability to implement those### alongside

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH days.alive = (AsDate(Sys.time()) - AsDate(birthday)) / ddays(1) days.alive. The function AsDate () is also able to interpret date intervals or periods, which can be useful when working with aggregated data. If the function encounters date periods, it will convert the start of the period to a date and return it. 1. HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machine### learning.

5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25. HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

USING R IN DISPLAYR VIDEO SERIES Using R in Displayr Video Series. R is one of the most powerful coding languages for analyzing data. It's used by millions of people across the globe, and is free to boot. Here at Displayr, we've seamlessly integrated R with our software to enable those with special custom requirements or analysis needs the ability to implement those### alongside

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH days.alive = (AsDate(Sys.time()) - AsDate(birthday)) / ddays(1) days.alive. The function AsDate () is also able to interpret date intervals or periods, which can be useful when working with aggregated data. If the function encounters date periods, it will convert the start of the period to a date and return it. 1. HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machine### learning.

5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25. HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R.### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

### DISPLAYR FOR TURF

Displayr for TURF Easily optimize product portfolios using TURF. Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an### eye.

HOW TO SORT DATA IN R By default, R will sort the vector in ascending order. However, you can add the decreasing argument to the function, which will explicitly specify the sort order as in the example above.. Sorting Data Frames. In R, a data frame is an object with multiple rows and multiple### columns.

HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR In Displayr, go to Insert > R Output. Under Properties > R CODE paste in the code below. You need to edit the list of URLs (unless you just want to visit my favorite sites), and the list of the link text to show. The latter is text that gets shown on screen instead of the URL itself. Tick Automatic to run the code. HOW CORRESPONDENCE ANALYSIS WORKS (A SIMPLE EXPLANATION Correspondence analysis is a data science tool for summarizing tables.This post explains the basics of how it works. It focuses on how to understand the underlying### WHAT IS R-SQUARED?

Key properties of R-squared. R-squared, otherwise known as R² typically has a value in the range of 0 through to 1.A value of 1 indicates that predictions are identical to the observed values; it is not possible to have a value of R² of more than 1. A value of 0 indicates that there is no linear relationship between the observed and predicted values, where “linear” in this context means LEARN HOW TO OPTIMIZE PRODUCT RANGES USING TURF, FACTOR Tim Bock, Founder of Displayr. Tim is a data scientist, who has consulted, published academic papers, and won awards, for problems/ techniques as diverse as neural networks, mixture models, data fusion, market segmentation, IPO pricing, small sample research, and data### visualization.

### SIGN UP | DISPLAYR

Visualize and analyze data Create and share dashboards Access Displayr Professional features for up to 10 hours WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? LinkedIn. Email. There are four qualitatively distinct types of missing data. Missing data is either: structurally missing, missing completely at random (MCAR), missing at random, or nonignorable (also known as missing not at random). Different types of missing data need to be treated differently in order for any analysis to be meaningful. SAMPLE SIZES FOR NET PROMOTER SCORE When designing and executing Net Promoter Score research, companies should consider various factors when deciding on a survey sample size. Keep reading to find out what sample size you need! DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE### WHAT IS R-SQUARED?

EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH days.alive = (AsDate(Sys.time()) - AsDate(birthday)) / ddays(1) days.alive. The function AsDate () is also able to interpret date intervals or periods, which can be useful when working with aggregated data. If the function encounters date periods, it will convert the start of the period to a date and return it. 1. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machine### learning.

5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25. HOW TO INTERPRET LOGISTIC REGRESSION COEFFICIENTS HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE### WHAT IS R-SQUARED?

EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH days.alive = (AsDate(Sys.time()) - AsDate(birthday)) / ddays(1) days.alive. The function AsDate () is also able to interpret date intervals or periods, which can be useful when working with aggregated data. If the function encounters date periods, it will convert the start of the period to a date and return it. 1. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machine### learning.

5 WAYS TO DEAL WITH MISSING DATA IN CLUSTER Missing data in cluster analysis example 1,145 market research consultants were asked to rate, on a scale of 1 to 5, how important they believe their clients regard statements like Length of experience/time in business and Uses sophisticated research technology/strategies.Each consultant only rated 12 statements selected randomly from a bank of 25. HOW TO INTERPRET LOGISTIC REGRESSION COEFFICIENTS HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R.### LOG IN | DISPLAYR

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DISPLAYR FOR WEIGHTING| THE COMPLETE SOLUTION FOR Displayr is a general purpose app that does everything from crosstabs to text coding to advanced analysis to dashboards, driver analysis, and segmentation. Once you have weights, you can easily use them in all your subsequent analyses and reporting. There's no need to use one package for creating weights and another package for analyzing them.### DISPLAYR FOR TURF

Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an eye, but is so easy to use that you can do your own TURF even if you haven't even done one before.### SIGN UP | DISPLAYR

Visualize and analyze data Create and share dashboards Access Displayr Professional features for up to 10 hours HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR In Displayr, go to Insert > R Output. Under Properties > R CODE paste in the code below. You need to edit the list of URLs (unless you just want to visit my favorite sites), and the list of the link text to show. The latter is text that gets shown on screen instead of the URL itself. Tick Automatic to run the code. WHAT ARE DUMMY VARIABLES? A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something (e.g., a 0 may indicate a placebo and 1 may indicate a drug).Where a categorical variable has more than two categories, it can be represented by a set of dummy variables, with one variable for each category.Numeric variables can also be dummy coded to explore nonlinear HOW CORRESPONDENCE ANALYSIS WORKS (A SIMPLE EXPLANATION Correspondence analysis is a data science tool for summarizing tables.This post explains the basics of how it works. It focuses on how to understand the underlying LEARN HOW TO OPTIMIZE PRODUCT RANGES USING TURF, FACTOR Tim Bock, Founder of Displayr. Tim is a data scientist, who has consulted, published academic papers, and won awards, for problems/ techniques as diverse as neural networks, mixture models, data fusion, market segmentation, IPO pricing, small sample research, and data### visualization.

IDENTIFYING DRIVERS OF CUSTOMER SATISFACTION Identifying Drivers of Customer Satisfaction. Customer surveys are an important way of collecting feedback about your product. They generally involve a question about overall satisfaction, coupled with questions about specific attributes. It's invaluable to evaluate what the most important attributes contributing to your overall CSAT score### are.

HOW TO MAKE AN AREA CHART IN R 1. plot + geom_area() The above chart was created with the default ggplot2 settings, but there are several chart formatting options that can be modified. In ggplot2 you can build a plot in stages. This means that you can sequence the functions for modifying the plot by "adding" them with a "+" sign. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter.### DISPLAYR FOR TURF

Displayr for TURF Easily optimize product portfolios using TURF. Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an### eye.

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE### MACHINE LEARNING

Introduction to Displayr 5: Machine Learning and Multivariate Statistics. by Tim Bock. Prepare to watch, play, learn, make, and discover! Get access to all the premium content on Displayr. First### name. Last name.

PRINCIPAL COMPONENT ANALYSIS OF TEXT DATA This post introduces our new Principal Component Analysis (PCA) tool for analyzing text data. It takes a single text variable as an input, and returns numeric variables that summarize the text data, as well as tables of loadings to facilitate interpretation. HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots package### created by

HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter.### DISPLAYR FOR TURF

Displayr for TURF Easily optimize product portfolios using TURF. Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an### eye.

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE### MACHINE LEARNING

Introduction to Displayr 5: Machine Learning and Multivariate Statistics. by Tim Bock. Prepare to watch, play, learn, make, and discover! Get access to all the premium content on Displayr. First### name. Last name.

PRINCIPAL COMPONENT ANALYSIS OF TEXT DATA This post introduces our new Principal Component Analysis (PCA) tool for analyzing text data. It takes a single text variable as an input, and returns numeric variables that summarize the text data, as well as tables of loadings to facilitate interpretation. HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots package### created by

HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R.### LOG IN | DISPLAYR

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INTRODUCTION TO DISPLAYR 1: OVERVIEW Introduction to Displayr 1: Overview. What is Displayr? It's two apps in one. First, it's a complete data science platform, which does everything from simple tables through to advanced machine learning. It's also a comprehensive reporting platform that creates online### dashboards and

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE The first step is to create a table where in addition to the data to be displayed, we also have a column containing z- scores. In the code below I first hide the column called z ( z = FALSE ), add arrows for z-scores of less than -1.96 and greater than 1.96, and make USING R IN DISPLAYR VIDEO SERIES Using R in Displayr Video Series. R is one of the most powerful coding languages for analyzing data. It's used by millions of people across the globe, and is free to boot. Here at Displayr, we've seamlessly integrated R with our software to enable those with special custom requirements or analysis needs the ability to implement those### alongside

### WHAT IS MAXDIFF?

What is MaxDiff? MaxDiff is a survey research technique for working out relative preferences. What do people like most? Second-most? Etc. It is useful in situations when simpler techniques – such as asking people to rate things or provide rankings – are considered likely to give poor data. It is also known as maximum difference scaling and HOW IS SPLITTING DECIDED FOR DECISION TREES? The root node begins with all the training data. The colored dots indicate classes which will eventually be separated by the decision tree. One of the predictor variables is chosen to make the root split.This creates three child nodes, one of which contains only black cases and is a leaf node. HOW TO ANALYZE FREE-FORM TEXT DATA FROM SURVEYS 1. Coding. The traditional approach to analyzing text data is to code the data. Coding works as follows: One or two people read through some of the data (e.g., 200 randomly selected responses), and use their judgment to identify some main categories. For example, for the question asked about attitudes to Tom Cruise, the categories may be:### 1.

EASILY CONVERTING STRINGS TO TIMES AND DATES IN R WITH days.alive = (AsDate(Sys.time()) - AsDate(birthday)) / ddays(1) days.alive. The function AsDate () is also able to interpret date intervals or periods, which can be useful when working with aggregated data. If the function encounters date periods, it will convert the start of the period to a date and return it. 1. ANALYZING GOOGLE TRENDS DATA IN R Analyzing Google Trends Data in R. Google Trends shows the changes in the popularity of search terms over a given time (i.e., number of hits over time). It can be used to find search terms with growing or decreasing popularity or to review periodic variations from the past such as seasonality. HOW IS VARIABLE IMPORTANCE CALCULATED FOR A RANDOM FOREST After training a random forest, it is natural to ask which variables have the most predictive power. Variables with high importance are drivers of the outcome and their values have a significant impact on### the outcome values.

DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr is an all-in-one statistical analysis and reporting tool designed for survey data. Analyze, visualize and share beautiful dashboards & interactive reports.### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

### DISPLAYR FOR TURF

Displayr for TURF Easily optimize product portfolios using TURF. Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an### eye.

INSTALLING R PACKAGES FROM GITHUB As an example, this post illustrates how to install the flipPlots package to create Sankey diagrams (click here for some example code).. Installing GitHub packages into R Step 1: Install the devtools package. To install a R package, start by installing the devtools### package.

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE HOW TO USE BASIC R CODE FOR CREATING FILTERS Filters based on single-response questions. When dealing with single variable questions, whether numeric or categorical, it is easy to set up basic binary 'Yes' or 'No' conditions.### MACHINE LEARNING

Easily analyze and present your data in a whole new flexible and live### way.

HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr is an all-in-one statistical analysis and reporting tool designed for survey data. Analyze, visualize and share beautiful dashboards & interactive reports.### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

### DISPLAYR FOR TURF

Displayr for TURF Easily optimize product portfolios using TURF. Displayr is the easiest and most efficient TURF tool in the world. It has all the tools needed to do a best-practice TURF in the blink of an### eye.

INSTALLING R PACKAGES FROM GITHUB As an example, this post illustrates how to install the flipPlots package to create Sankey diagrams (click here for some example code).. Installing GitHub packages into R Step 1: Install the devtools package. To install a R package, start by installing the devtools### package.

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE HOW TO USE BASIC R CODE FOR CREATING FILTERS Filters based on single-response questions. When dealing with single variable questions, whether numeric or categorical, it is easy to set up basic binary 'Yes' or 'No' conditions.### MACHINE LEARNING

Easily analyze and present your data in a whole new flexible and live### way.

HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R.### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

INTRODUCTION TO DISPLAYR 1: OVERVIEW A quick tour of the interface. The screenshot below shows you Displayr. In the middle, you can see a page of a document created in Displayr.On the right-hand-side of the page you can see a decision### tree.

MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE More customized column formatting. In the example above, prior to using formattable I divided the last column by 100, as formattable 's percent function assumes the inputs are decimals. However, we can perform transformations within formattable.In the code below, I divide by 100 and I also color the values as red or green depending on their### value.

USING R IN DISPLAYR VIDEO SERIES R is one of the most powerful coding languages for analyzing data. It's used by millions of people across the globe, and is free to boot. Here at Displayr, we've seamlessly integrated R with our software to enable those with special custom requirements or analysis needs the ability to implement those alongside our standard features.### WHAT IS MAXDIFF?

MaxDiff is a survey research technique for working out relative preferences. What do people like most? Second-most? Etc. It is useful in situations when simpler techniques – such as asking people to rate things or provide rankings – are considered likely to give poor### data.

HOW IS SPLITTING DECIDED FOR DECISION TREES? The root node begins with all the training data. The colored dots indicate classes which will eventually be separated by the decision tree. One of the predictor variables is chosen to make the root split.This creates three child nodes, one of which contains only black cases and is a leaf node. HOW TO ANALYZE FREE-FORM TEXT DATA FROM SURVEYS Text analytics involves using algorithms to automatically convert text to numbers to perform a quantitative analysis. For example, sentiment analysis automatically calculates the sentiment of phrases based on the number of positive and negative words that appear. All else being equal, text analytics is less informative than coding, as humans are better at correctly interpreting meaning in text HOW TO MAKE AN AREA CHART IN R The above chart was created with the default ggplot2 settings, but there are several chart formatting options that can be modified. In ggplot2 you can build a plot in stages. This means that you can sequence the functions for modifying the plot by "adding" them with a### "+" sign.

HOW TO CALCULATE JACCARD COEFFICIENTS IN DISPLAYR USING R There is a big overlap between iPhone owners and iPad owners in this sample. The Jaccard coefficient is the number of people in the overlapping area in the middle of the diagram, divided by the total number of people represented by the colored area. HOW IS VARIABLE IMPORTANCE CALCULATED FOR A RANDOM FOREST After training a random forest, it is natural to ask which variables have the most predictive power. Variables with high importance are drivers of the outcome and their values have a significant impact on### the outcome values.

DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

### WHAT IS MAXDIFF?

HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots package### created by

HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. DISPLAYR | ANALYSIS AND REPORTING SOFTWARE FOR SURVEY DATAFEATURESPRICINGCONNECT DATAANALYZEREPORTINGDASHBOARDING Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software tell us. Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well,### that's Displayr! If

### LOG IN | DISPLAYR

Log in to Displayr. Enter your details below. EMAIL. PASSWORD Forgot### password?

INTRODUCTION TO DISPLAYR 3: CREATING TABLES, CHARTS, ANDSEE MORE ON### DISPLAYR.COM

### WHAT IS MAXDIFF?

HOW TO SORT DATA IN R HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. WHAT ARE THE DIFFERENT TYPES OF MISSING DATA? INSTALLING R PACKAGES FROM GITHUB Step 2: Install the package of interest from GitHub. Install the package of interest from GitHub using the following code, where you need to remember to list both the author and the name of the package (in GitHub jargon, the package is the repo, which is short for repository). In this example, we are installing the flipPlots package### created by

HOW TO CREATE A CORRELATION MATRIX IN R A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The coefficient indicates both the strength of the relationship as well as the direction (positive vs. negative correlations). In this post I show you how to calculate and visualize a correlation matrix using R. PROFESSIONAL SERVICES Professional Services. Need help hooking up your data, building and beautifying dashboards, customizing visualizations, or transferring SPSS syntax? Our team of experts can help build you a custom solution (even if it involves multiple programming languages like R, Python, SQL and JavaScript)! Get in touch to find out how we can help achieve MAKE BEAUTIFUL TABLES WITH THE FORMATTABLE PACKAGE The first step is to create a table where in addition to the data to be displayed, we also have a column containing z- scores. In the code below I first hide the column called z ( z = FALSE ), add arrows for z-scores of less than -1.96 and greater than 1.96, and make HOW TO USE BASIC R CODE FOR CREATING FILTERS We have already covered how to create and connect filters to a control box. The following deals with other common scenarios that can be easily updated to fit your requirements. The process to create an R filter is to go to Insert > R > Numeric Variable, add the condition in the R CODE window and then select Usable as a filter. HOW TO DYNAMICALLY CREATE HYPERLINKS IN DISPLAYR In Displayr, go to Insert > R Output. Under Properties > R CODE paste in the code below. You need to edit the list of URLs (unless you just want to visit my favorite sites), and the list of the link text to show. The latter is text that gets shown on screen instead of the URL itself. Tick Automatic to run the code.### HELP CENTER

Easily analyze and present your data in a whole new flexible and live### way.

HOW TO INTERPRET LOGISTIC REGRESSION OUTPUTS Logistic regression, also known as binary logit and binary logistic regression, is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities.It is used to predict outcomes involving two options (e.g., buy versus not buy). In this post I explain how to interpret the standard outputs from logistic regression, focusing on those that PRINCIPAL COMPONENT ANALYSIS OF TEXT DATA This post introduces our new Principal Component Analysis (PCA) tool for analyzing text data. It takes a single text variable as an input, and returns numeric variables that summarize the text data, as well as tables of loadings to facilitate interpretation. WHAT IS A ROC CURVE AND HOW TO INTERPRET IT A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal detection theory but is now used in many other areas such as medicine, radiology, natural hazards and machine### learning.

WHAT ARE DUMMY VARIABLES? A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something (e.g., a 0 may indicate a placebo and 1 may indicate a drug).Where a categorical variable has more than two categories, it can be represented by a set of dummy variables, with one variable for each category.Numeric variables can also be dummy coded to explore nonlinear HOW TO ANALYZE FREE-FORM TEXT DATA FROM SURVEYS 1. Coding. The traditional approach to analyzing text data is to code the data. Coding works as follows: One or two people read through some of the data (e.g., 200 randomly selected responses), and use their judgment to identify some main categories. For example, for the question asked about attitudes to Tom Cruise, the categories may be:### 1.

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BASIC ANALYSIS AND CROSSTABS Quickly create tables using drag and drop or automatically churn them out by the thousand. EASILY MANIPULATE DATA Create filters and new variables with the click of a mouse, and merging categories is as easy as drag and drop. EFFORTLESSLY SEE THE STORIES IN THE DATA Automated, state-of-the-art statistical tests that highlight the key results. You can automatically sort and delete uninteresting tables. UPDATE EVERYTHING AUTOMATICALLY Update your raw data and watch all your work update automatically.### NOTHING’S MISSING

From rim weighting to complicated filters to recoding to automatic detection of flat-lining, it’s all there, built in.### Find out how

TEXT ANALYSIS AND CODING RAPIDLY ANALYZE AND CODE TEXT With a click of the mouse, you can automatically categorize your data, perform sentiment analysis, entity extraction, and create word clouds.### GREATER ACCURACY

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INSTANT UPDATING WITH NEW TEXT DATA To save you even more time, when new text data comes in, Displayr automatically and accurately assigns it to existing categories. DESIGNED FOR MARKET RESEARCH DATA All the tools to categorize any type of text data, including single response, multiple response, brand lists, and back-coding.### NOTHING’S MISSING

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ALL ANALYSIS TECHNIQUES ARE BUILT-IN Everything you’ll ever need including regression, PCA, clustering, latent class analysis, machine learning, MaxDiff, conjoint, TURF, and### so much more.

DESIGNED FOR SURVEY DATA All the analysis techniques work with categorical data, sampling weights, and filters. ANALYSIS FOR EVERYONE Displayr guides you through your analyses, alerting you when there are problems and suggesting solutions along the way.### NOTHING’S MISSING

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ANY REPORT EXPORTS TO POWERPOINT Automatically update entire PowerPoint reports with new data (e.g., waves of survey data, country level reports, automatically batch### export).

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And the problem is that these painful manual tasks don't leave you with much time to find and report your brilliant insights - stressful! We, at Displayr, don't think you should have to do these manual tasks at all. So, we combined our expertise in quantitative analysis and software engineering to create Displayr. It's analysis and reporting software that automatically does all your painful manual tasks for you. It also makes it easy to do the tricky things that usually take ages to figure out - like machine learning, automatic text coding, statistical testing, driver analysis, and even building dashboards. The result? Displayr will cut your analysis and reporting times in half. That's what 1000s of researchers who already use our software### tell us.

Imagine blending Powerpoint, SPSS, Excel, and Tableau into one tool that's also fast, easy to use, and excellent for survey data - well, that's Displayr! If you analyze data, it'll make you thrive. And by using fewer resources to do more work, Displayr won't just save you time, it will make you money. You'll produce higher quality work faster, without needing to outsource or use other tools. So, stop throwing away your valuable time to painful manual tasks and quit spending hours figuring stuff out! Schedule a demo of Displayr and discover how you can transform your survey data to brilliant insights in a fraction of the time.### Read more

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