---
title: The < Less Than Operator
description: "In Assette, expressions are powerful tools used within Data Objects and Data Blocks to manipulate, compare, and evaluate data for client reports and presentations. One of the fundamental comparison operators available is the **`"
url: "https://learn.assette.com/docs/the-less-than-operator/"
updated: "2024-11-18"
category: Developers / Developer Tools / Data Object Editor / Expressions
---

# The < Less Than Operator

In Assette, expressions are powerful tools used within Data Objects and Data Blocks to manipulate, compare, and evaluate data for client reports and presentations. One of the fundamental comparison operators available is the **`<` Less Than Operator**. This operator allows you to compare two numerical values to determine if one is less than the other, enabling conditional logic and data filtering within your expressions.

This article provides a comprehensive overview of how the `<` operator works in Assette expressions, including its purpose, syntax, usage examples, and practical applications.

## Purpose of the `<` Less Than Operator

The `<` operator is used to compare two numerical values or expressions to check if the left value is less than the right value. It returns a Boolean result:

- **`True`**: If the value on the left side of the operator is less than the value on the right side.
- **`False`**: If the left value is equal to or greater than the right value.

This operator is essential for implementing conditional logic, making decisions within expressions, and filtering data based on numerical criteria.

## Syntax of the `<` Operator

**`value1`**: The first numerical value or expression to compare (left operand).

**`value2`**: The second numerical value or expression to compare (right operand).

```
value1 < value2
```

## Understanding How It Works

When you use the `<` operator in an expression, Assette evaluates both `value1` and `value2` and compares their numerical values:

- If `value1` is numerically less than `value2`, the expression returns `True`.
- If `value1` is equal to or greater than `value2`, the expression returns `False`.

**Note**: Both values should be numerical for a valid comparison.

## Examples of Using the `<` Operator

### Numeric Comparison

**Evaluation:**

- **Result:** `True`
- **5** is less than **10**.

```
5 < 10
```

### Variable Comparison

Assuming you have variables `inventoryCount` and `reorderLevel`.

**Evaluation:**

- Compares current inventory to the reorder level.
- **Result:** Depends on the values of `inventoryCount` and `reorderLevel`.

```
inventoryCount < reorderLevel
```

## Practical Use Cases

1. **Data Filtering:** Filter records where a specific numerical field is less than a threshold.
2. **Conditional Calculations:** Apply different calculations based on a condition.

## Important Considerations

### Data Types

- **Numerical Values Only**: The `<` operator should be used with numerical values. Using it with non-numerical data types may result in errors or unexpected behavior.

### Null and Undefined Values

- **Null Checks**: Ensure that variables are not null or undefined before performing comparisons to prevent errors.

### Logical Operators

- Combine the `<` operator with logical operators like `and`, `or`, and `not` for complex conditions.

### Use with Other Comparison Operators

- **Less Than or Equal To `<=`**: Use `<=` when you want to include the value equal to the right operand.

## Best Practices

1. **Ensure Numerical Compatibility**: Verify that both operands are numerical values to avoid type errors.
2. **Null Value Handling**: Use the `HasValue()` function to check for null or undefined values before comparison.
3. **Use Parentheses for Clarity**: Group conditions with parentheses to enhance readability.
4. **Descriptive Variable Names**: Use meaningful variable names to make expressions self-explanatory.
5. **Test Expressions**: Regularly test your expressions with various data inputs to ensure they work as intended.