In data analysis, variables are connected through their relationships and dependencies, forming the basis for understanding patterns and making informed decisions.

Visual variables are the basic components of any data visualization. They are the attributes of the graphical elements that you use to encode your data, such as shape, size, color, position ...

Secondary use or reuse of biomedical research data has drawn significant attention and is of growing importance. Non-standardized representation and wide variability of clinical and observational data ...

An easy descriptive statistics approach to summarize the numeric and categoric data variables for every Exploratory Data Analysis process. Topics python data-science statistics ...

proc print data=teststat noobs; title1 'Univariate Statistics for Two College Tests'; title2 'Output Data Set from PROC UNIVARIATE'; run; Output The TESTSTAT data set contains one observation with the ...

In this paper, a procedure of applying correspondence analysis to a large space-time data set for multiple environmental variables is shown. In particular, nitrogen dioxide and carbon monoxide hourly ...