Updated documentation

Documentation/.vitepress/cache/deps/_metadata.json

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-  "browserHash": "c0859cb5",
+  "hash": "1cd17bc6",
+  "browserHash": "cc3e279a",
   "optimized": {
     "vue": {
       "src": "../../../node_modules/vue/dist/vue.runtime.esm-bundler.js",
       "file": "vue.js",
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Documentation/.vitepress/config.js

@@ -149,6 +149,10 @@ function envSidebar() {
           text: "Update",
           link: "/env/update",
         },
+        {
+          text: "UwpApp",
+          link: "/env/uwpapp",
+        },
       ],
     },
   ];

Documentation/core/maths/stats.md

@@ -1,4 +1,5 @@
 # Stats
+
 This page is about the `Stats` class available in [`PeyrSharp.Core.Maths`](/core/maths).
 You can find here all of its methods.
 
@@ -10,87 +11,182 @@ This class is `static`.
 
 The `Stats` class is part of the `PeyrSharp.Core` module, which is compatible with all of these frameworks and platforms:
 
-| Package/Platform 	| Windows 	| macOS 	| Linux + others 	|
-|------------------	|---------	|-------	|----------------	|
-| Core            	| ✅       	| ✅     	| ✅              	|
-| **Framework**         | **.NET 5** | **.NET 6**  | **.NET 7** |
-| Core            	| ✅       	| ✅     	| ✅              	|
+| Package/Platform | Windows    | macOS      | Linux + others |
+| ---------------- | ---------- | ---------- | -------------- |
+| Core             | ✅         | ✅         | ✅             |
+| **Framework**    | **.NET 5** | **.NET 6** | **.NET 7**     |
+| Core             | ✅         | ✅         | ✅             |
 
 ## Methods
+
 ### Mean(values)
+
 #### Definition
+
 Returns the mean of a dataset as a `double`.
 
 #### Arguments
 
-| Type     	| Name     	| Meaning                   	|
-|----------	|----------	|---------------------------	|
-| `List<double>`   	| `values` 	| The dataset to calculate. 	|
+| Type           | Name     | Meaning                   |
+| -------------- | -------- | ------------------------- |
+| `List<double>` | `values` | The dataset to calculate. |
 
 #### Exceptions
 
-| Type                    	| Meaning                             	|
-|-------------------------	|-------------------------------------	|
-| `ArgumentException`     	| Thrown if the dataset is empty.     	|
+| Type                | Meaning                         |
+| ------------------- | ------------------------------- |
+| `ArgumentException` | Thrown if the dataset is empty. |
 
 #### Usage
 
-~~~ c#
+```c#
 using PeyrSharp.Core.Maths;
 
 List<double> dataset = new List<double> { 1, 2, 3, 4, 5 };
 double mean = Stats.Mean(dataset); // Calculate the mean of the dataset
 // mean = 3
-~~~
+```
 
 ### Median(values)
+
 #### Definition
+
 Returns the median of a dataset as a `double`.
 
 #### Arguments
 
-| Type     	| Name     	| Meaning                   	|
-|----------	|----------	|---------------------------	|
-| `List<double>`   	| `values` 	| The dataset to calculate. 	|
+| Type           | Name     | Meaning                   |
+| -------------- | -------- | ------------------------- |
+| `List<double>` | `values` | The dataset to calculate. |
 
 #### Exceptions
 
-| Type                    	| Meaning                             	|
-|-------------------------	|-------------------------------------	|
-| `ArgumentException`     	| Thrown if the dataset is empty.     	|
+| Type                | Meaning                         |
+| ------------------- | ------------------------------- |
+| `ArgumentException` | Thrown if the dataset is empty. |
 
 #### Usage
 
-~~~ c#
+```c#
 using PeyrSharp.Core.Maths;
 
 List<double> dataset = new List<double> { 1, 2, 3, 4, 5 };
 double median = Stats.Median(dataset); // Calculate the median of the dataset
 // median = 3
-~~~
+```
 
 ### Mode(values)
+
 #### Definition
+
 Returns the mode of a dataset as a `double`.
 
 #### Arguments
 
-| Type     	| Name     	| Meaning                   	|
-|----------	|----------	|---------------------------	|
-| `List<double>`   	| `values` 	| The dataset to calculate. 	|
+| Type           | Name     | Meaning                   |
+| -------------- | -------- | ------------------------- |
+| `List<double>` | `values` | The dataset to calculate. |
 
 #### Exceptions
 
-| Type                    	| Meaning                             	|
-|-------------------------	|-------------------------------------	|
-| `ArgumentException`     	| Thrown if the dataset is empty.     	|
+| Type                | Meaning                         |
+| ------------------- | ------------------------------- |
+| `ArgumentException` | Thrown if the dataset is empty. |
 
 #### Usage
 
-~~~ c#
+```c#
 using PeyrSharp.Core.Maths;
 
 List<double> dataset = new List<double> { 1, 2, 3, 3, 3, 4, 5 };
 double mode = Stats.Mode(dataset); // Calculate the mode of the dataset
 // mode = 3
-~~~
+```
+
+### Range(numbers)
+
+#### Definition
+
+Calculates the range of a list of `double` numbers.
+
+#### Arguments
+
+| Type           | Name      | Meaning                     |
+| -------------- | --------- | --------------------------- |
+| `List<double>` | `numbers` | The list of double numbers. |
+
+#### Exceptions
+
+| Type                | Meaning                                |
+| ------------------- | -------------------------------------- |
+| `ArgumentException` | Thrown when the list is null or empty. |
+
+#### Returns
+
+`double` - The range of the list of double numbers.
+
+#### Usage
+
+```c#
+using PeyrSharp.Core.Maths;
+
+List<double> numbers = new List<double> { 1.5, 2.6, 3.7, 4.8, 5.9 };
+double range = Stats.Range(numbers); // Calculate the range of the list of numbers
+// range = 4.4
+```
+
+### Variance(values)
+
+#### Definition
+
+Calculates the sample variance of a list of `double` values. Returns the sample variance of the list of `double` values as a `double`.
+
+#### Arguments
+
+| Type           | Name     | Meaning                    |
+| -------------- | -------- | -------------------------- |
+| `List<double>` | `values` | The list of double values. |
+
+#### Exceptions
+
+| Type                | Meaning                                |
+| ------------------- | -------------------------------------- |
+| `ArgumentException` | Thrown when the list is null or empty. |
+
+#### Usage
+
+```c#
+using PeyrSharp.Core.Maths;
+
+List<double> dataset = new List<double> { 1, 2, 3, 4, 5 };
+double variance = Stats.Variance(dataset); // Calculate the variance of the dataset
+// variance = 2.5
+```
+
+### StandardDeviation(values)
+
+#### Definition
+
+Calculates the standard deviation of a list of `double` numbers. Returns the standard deviation of the list of `double` numbers as a `double`.
+
+#### Arguments
+
+| Type           | Name     | Meaning                     |
+| -------------- | -------- | --------------------------- |
+| `List<double>` | `values` | The list of double numbers. |
+
+#### Exceptions
+
+| Type                | Meaning                                |
+| ------------------- | -------------------------------------- |
+| `ArgumentException` | Thrown when the list is null or empty. |
+
+#### Usage
+
+```c#
+using PeyrSharp.Core.Maths;
+
+List<double> dataset = new List<double> { 1, 2, 3, 4, 5 };
+double sd = Stats.StandardDeviation(dataset); // Calculate the standard deviation of the dataset
+// sd = 1.5811388300841898
+```