# Statistical treatments and operations

There are many different kinds of operations that can be applied on an existing set of data 
(disregarding their origin, *i.e.* whether they come from experiments, simulations...). They are all 
listed below and the main ones are described in more details in the following subsections. For the 
sake of simplicity, the input variable is called $x$ leading to an output variable called $y$. The 
dataset contains $N$ points and $i$ is be an iterator that goes from 0 to $N-1$. In few words, here 
what's easily calculable with {{uranie}}:

```{include} /../core/dataserver/statistics.md
```

```{toctree}
treatment_operations/normalising_variable
treatment_operations/computing_ranking
treatment_operations/computing_elementary
treatment_operations/quantile_computation
treatment_operations/correlation_matrix
```