missing values on other variables vs missing values for other variables

Both phrases are correct, but they are used in slightly different contexts. 'Missing values on other variables' is commonly used when referring to the presence of missing data points on other variables in a dataset. On the other hand, 'missing values for other variables' is used when discussing the absence of values that should be present for other variables.

Last updated: March 27, 2024 • 662 views

This phrase is correct and commonly used when referring to the presence of missing data points on other variables in a dataset.

"missing values on other variables"

This phrase is used to indicate that there are missing data points specifically on other variables in a dataset.

Examples:

The dataset contains missing values on other variables that need to be imputed.

Show examples from the web [+]

There will be no missing values in the classifying variables (waste category, economic activity, NUTS 2 region, type of waste treatment facility).
Missing value on line %d.
Core variables, for which no missing value shall be accepted, nor imputation permitted are:
Key variables, for which every effort should be made to avoid missing values and for which imputation is recommended are:
You look at the other variable - location.
I'm not introducing any other variables into this equation.
Income from shares and other variable-yield securities
Title: Income from shares and other variable-yield securities
Now they measured one other variable.
97% of your actions prioritize relational bonds over other variables.
Usual: for all other variables.
other variables that the designated authority considers relevant for addressing cyclical systemic risk.
In contrast, results based upon the yield response variable are dependent upon all these other variables.
Income from shares and other variable-yield securities
Other variable resistors, including rheostats and potentiometers
income from shares and other variable yield securities,
For certain fields, Eurostat may recommend the use of specific codes for missing values or other special values (see column specific codes for missing values).
For certain fields, Eurostat may recommend the use of specific codes for missing values or other special values (see column 'specific codes for missing values').
percentage of missing values for each income component collected or compiled at household/personal level,
missing value, data exist but were not collected,

Alternatives:

missing values on certain variables
missing data points on other variables

This phrase is also correct and is used when discussing the absence of values that should be present for other variables.

"missing values for other variables"

This phrase is used to indicate that there are values missing for other variables that should have been present.

Examples:

There are missing values for other variables that need to be filled in.

Show examples from the web [+]

There will be no missing values in the classifying variables (waste category, economic activity, NUTS 2 region, type of waste treatment facility).
percentage of missing values for each income component collected or compiled at household/personal level,
"Imputation" means estimating plausible (but artificial) substitute values for missing values
Some conventional string when value for the piece of datum cannot be provided: missing value, value hidden because of confidentiality.
Where a population interval is not known but information exists on either minimum or maximum population size, estimate the missing value for the interval.
Core variables, for which no missing value shall be accepted, nor imputation permitted are:
Key variables, for which every effort should be made to avoid missing values and for which imputation is recommended are:
Missing value on line %d.
You look at the other variable - location.
I'm not introducing any other variables into this equation.
Income from shares and other variable-yield securities
Title: Income from shares and other variable-yield securities
Now they measured one other variable.
97% of your actions prioritize relational bonds over other variables.
Usual: for all other variables.
other variables that the designated authority considers relevant for addressing cyclical systemic risk.
In contrast, results based upon the yield response variable are dependent upon all these other variables.
Income from shares and other variable-yield securities
Other variable resistors, including rheostats and potentiometers
income from shares and other variable yield securities,

Alternatives:

missing values in other variables
missing data for other variables

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missing values on other variables vs missing values for other variables