No; there is no such thing as "hard data".
Program data can be stored in the program's data segment, on the stack or on the heap. Constants, static variables and global variables are always stored in the program's data segment. Local variables are always stored on the stack. Dynamic variables are always stored on the heap. User data is typically stored in files, but those files could exist literally anywhere, such as a local hard-disk drive, a file-server or "the cloud". However, data must be brought into working memory in order to operate upon it. Small amounts of data can be allocated within the data segment via static variables but generally you will use the heap. If the data is too large to fit into working memory all at once, use one or more temporary files on one or more local hard-disk drives and pull in what you need as and when you need it.
variables that think too hard....
In programming languages, variables are used to store data values, while pointers are variables that store memory addresses of other variables. Variables directly hold data, while pointers hold the location of where data is stored in memory.
a set of data that is made up of two paired variables
Without variables, you won't be able to do much programming. Variables is where you store data; such data may change over time. And computer programming is all about manipulating data.
In statistics, bivariate data refers to data that comes with two variables.
it is the varyable that you mesure data from
the variables from experiment.
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Data with two variables is commonly referred to as bivariate data. This type of data allows for the analysis of the relationship between the two variables, which can be represented through various statistical methods, including scatter plots and correlation coefficients. Bivariate analysis helps identify patterns, trends, and potential causal relationships between the variables.
Laboratory-based data collection involves collecting data in an environment where all the conditions and variables are controlled, so that you are only measuring the variables in question.
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.