 # Can We Code Numeric Variables Into String Variables And Vice Versa?

## How do I recode a numeric variable in SPSS?

Using the Dialog WindowsClick Transform > Recode into Different Variables.Double-click on variable Rank to move it to the Input Variable -> Output Variable box.

In the Output Variable area, give the new variable the name RankIndicator.

Click the Old and New Values button.

Click OK..

## What does string variable mean in SPSS?

String variables are one of SPSS’ two variable types. What really defines a string variable is the way its values are stored internally. … A simpler definition is that string variables are variables that hold zero or more text characters. String values are always treated as text, even if they contain only numbers.

## Why do we recode variables?

The values of the variables to be used in the analysis usually have to be changed first. The reasons for recoding a variable are many. There may be errors in the original coding of the data that must be corrected.

## What are 3 types of variables?

A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by the scientist.

## Is age categorical or numerical?

In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old.

## Can we code numeric and string variables?

If you have already recorded your categorical variables as strings, you can easily convert them to a numerically coded variable using the Automatic Recode procedure. This procedure assigns each unique category a numeric code, then saves the converted values as a new variable.

## How do I convert a string to a date in SPSS?

SPSS String to Date Syntax*1. Create mini dataset. data list free/s1 s2(2a20). begin data. … *2. Extract day, month and year from string. compute day = number(char. substr(s1,char. … *3. Compute date variable. compute d1 = date. dmy(day,month,year). … *4. Display as date. formats d1(adate10).

## How do you handle categorical variables?

Below are the methods to convert a categorical (string) input to numerical nature:Label Encoder: It is used to transform non-numerical labels to numerical labels (or nominal categorical variables). … Convert numeric bins to number: Let’s say, bins of a continuous variable are available in the data set (shown below).

## How do I convert a string variable to a numeric variable in SPSS?

To do this, you need to create a new variable using the compute command. To use the number function, you need to enclose the name of the string variable and a format for the new numeric variable. compute score1 = number(score, F2). execute.

## What is a string variable?

String variables, simply speaking, are variables that contain not just numbers, but also other characters (possibly mixed with numbers). But actually a string variable may contain characters such as “\” or “-” or “:” and so on — anything a keyboard may produce. …

## Is age a string variable?

We’d like to know the average age of our participants but we can’t calculate it because age is a string variable in our data. The syntax below first copies and converts it to a numeric variable.

## What is string example?

A string is a data type used in programming, such as an integer and floating point unit, but is used to represent text rather than numbers. … For example, the word “hamburger” and the phrase “I ate 3 hamburgers” are both strings. Even “12345” could be considered a string, if specified correctly.

## What is a numeric variable?

Numeric variables have values that are numbers (in standard format or scientific notation). Missing numeric variables appear as a period (i.e., “.”). Example: Continuous variables that can take on any number in a range (e.g., height, weight, blood pressure, …) would be considered numeric variables.

## How do you declare a string variable?

To declare and initialize a string variable:Type string str where str is the name of the variable to hold the string.Type =”My String” where “My String” is the string you wish to store in the string variable declared in step 1.Type ; (a semicolon) to end the statement (Figure 4.8).

## How can I convert string variables into date variables?

dmy function to combine the numeric variables into a single date variable. The date. dmy function requires numeric variables as arguments, so we must make numeric versions of the string variables for use with this function. We then use the formats command to format the new date variable (called my_date).

## What is the difference between numeric and string variables?

Numeric variables contain only numbers and are suitable for numeric calculations such as addition and multiplication. String variables may contain letters, numbers and other characters. You can’t do calculations on string variables -even if they contain only numbers.

## How do I convert a string to a date in R?

You can use the as. Date() function to convert the string to date in R Programming. You can increment the date to check whether it is converted to date format or not using.

## How do you create a date variable in SPSS?

Select “Date” from the list of variable types. Then, on the right, select the format in which the date/time for that variable should appear (by selecting the date/time format in which the values already appear). Click OK. Now SPSS will recognize the variable as date/time.

## How do you convert categorical variables to dummy variables?

One of the methods to create dummy variables involves following steps: 1) creating dummy variables for each of the columns, 2) concatenate the new columns to the main data frame, 3) drop corresponding categorical columns. Above code is dropping first dummy variable columns to avoid dummy variable trap.

## Why do we encode categorical variables?

A categorical variable is a variable whose values take on the value of labels. … Machine learning algorithms and deep learning neural networks require that input and output variables are numbers. This means that categorical data must be encoded to numbers before we can use it to fit and evaluate a model.