docs(random module): add search terms and popular use cases

docs/random/draw.mdx

@@ -14,3 +14,13 @@ const fish = ['marlin', 'bass', 'trout']
 
 _.draw(fish) // => a random fish
 ```
+
+### Search terms
+
+- Often called `pickRandom`, `chooseRandom`, or `randomItem`.
+
+### Popular use cases
+
+- Selecting a random item from a non-mutated array, useful for implementing random selection in games, lotteries, or sampling data.
+- Drawing random options from predefined lists like quiz answers or promotional offers without altering the original dataset.
+- Safely handling empty arrays by returning `null`, preventing errors or undefined behavior when trying to draw from an empty list.

docs/random/random.mdx

@@ -12,3 +12,13 @@ import * as _ from 'radashi'
 
 _.random(0, 100) // => a random number between 0 and 100
 ```
+
+### Search terms
+
+- Often called `randomInt`, `randomBetween`, or `generateRandomNumber`.
+
+### Popular use cases
+
+- Generating random numbers within a defined range for use in simulations, gaming logic, or random sampling scenarios.
+- Creating randomized values for testing purposes, ensuring coverage of edge cases by varying inputs across test runs.
+- Implementing randomness in user interfaces, such as displaying random quotes, images, or product suggestions in e-commerce applications.

docs/random/shuffle.mdx

@@ -30,3 +30,13 @@ const fish = [
 
 _.shuffle(fish)
 ```
+
+### Search terms
+
+- Often called `randomizeArray`, `shuffleArray`, or `scrambleItems`.
+
+### Popular use cases
+
+- Creating a randomized version of an array without modifying the original, perfect for scenarios like shuffling cards in a game or presenting items in a random order.
+- Generating random permutations of datasets for testing or data analysis, ensuring unbiased sampling and unique configurations.
+- Implementing randomized displays of content such as lists of products, images, or content in dynamic user interfaces.

docs/random/uid.mdx

@@ -15,3 +15,13 @@ _.uid(12, '*') // => egFn*THGelM8
 ```
 
 Note, this function is optimized for simplicity and usability -- not performance or security. If you need to create universally unique or cryptographically random strings use a package specifically for that purpose.
+
+### Search terms
+
+- Often called `generateUID` or `randomString`.
+
+### Popular use cases
+
+- Generating unique identifiers for temporary data, such as session tokens, verification codes, or random usernames.
+- Creating randomized strings with custom special characters, useful for password generation or secure key creation.
+- Producing random strings of a specific length for use in tests, security, or as placeholders in development environments.