Posts Tagged ‘ Proc STDIZE ’

Numerical variables profiling in very large data set

June 21, 2011
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Profiling numerical variables is an integral part of data analytics, which generally consists of obtaining standard descriptive statistics such as quantiles, first central moments as well as missing ratio. It is easily obtainable by using PROC MEANS...
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Numerical variables profiling in very large data set

June 21, 2011
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Profiling numerical variables is an integral part of data analytics, which generally consists of obtaining standard descriptive statistics such as quantiles, first central moments as well as missing ratio. It is easily obtainable by using PROC MEANS...
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Numerical variables profiling in very large data set

June 21, 2011
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Profiling numerical variables is an integral part of data analytics, which generally consists of obtaining standard descriptive statistics such as quantiles, first central moments as well as missing ratio. It is easily obtainable by using PROC MEANS...
Read more »

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Replace Missing Numeric Values using Missing Option/Proc STDIZE

February 12, 2010
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MISSING OPTION Replacing missing values with the desired value like a zero is always a challenge, especially when we have a dataset with a number of columns to standardize. The OLD WAY of doing it to write a DATA step code with  ...
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