Summary  
This chapter explains how to implement conditional logic using an IF function that evaluates relational operators (such as =, <>, >, <, >=, <=) to return different outcomes based on numerical or text comparisons.

General domain of usage  
Spreadsheet data analysis and automation

Understanding the `IF` **function** and **relational operators** is essential for automating decision-making processes within your spreadsheets. 

- Structure the `IF` function using `=IF(logical_test, value_if_true, value_if_false)`;
- Use relational operators like `=`, `<>`, `>`, `<`, `>=`, and `<=` to compare values;
- Incorporate **text conditions** in the `IF` function by using **quotation marks** around text values.

Workbook

import unittest
import json


def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)


class TestUserCode(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        with open("payload.json") as f:
            data = json.load(f)
        cls.sheet = next(iter(data["sheets"].values()))

    def _cell_value(self, row, col):
        cell = self.sheet.get("cellData", {}).get(str(row), {}).get(str(col))
        if cell is None:
            return None
        v = cell.get("v")
        return v if v is not None else cell.get("f")

    def _check_cell_value(self, row, col, cell_ref, *expected_values):
        actual = self._cell_value(row, col)
        _dynamic_test(
            self,
            actual in expected_values,
            f"{cell_ref} contains the correct formula or result.",
            f"{cell_ref} should contain one of {expected_values!r}, but found {actual!r}."
        )

    # Step 1: =IF(F>=G, "Target Met", "Target Not Met") dragged B20:B26
    def test_b20_if_target_met_formula_or_result_is_correct(self):
        self._check_cell_value(
            19, 1, "B20",
            '=IF(F6>=G6,"Target Met","Target Not Met")',
            '=IF(F6>G6,"Target Met","Target Not Met")',
            '=IF(F6>=G6, "Target Met", "Target Not Met")',
            '=IF(F6>G6, "Target Met", "Target Not Met")',
            "Target Not Met"
        )

    def test_b21_if_target_met_formula_or_result_is_correct(self):
        self._check_cell_value(
            20, 1, "B21",
            '=IF(F7>=G7,"Target Met","Target Not Met")',
            '=IF(F7>G7,"Target Met","Target Not Met")',
            '=IF(F7>=G7, "Target Met", "Target Not Met")',
            '=IF(F7>G7, "Target Met", "Target Not Met")',
            "Target Met"
        )

    def test_b26_if_target_met_formula_or_result_is_correct(self):
        self._check_cell_value(
            25, 1, "B26",
            '=IF(F12>=G12,"Target Met","Target Not Met")',
            '=IF(F12>G12,"Target Met","Target Not Met")',
            '=IF(F12>=G12, "Target Met", "Target Not Met")',
            '=IF(F12>G12, "Target Met", "Target Not Met")',
            "Target Not Met"
        )

    # Step 2: =IF(B20="Target Met","20%","0%") dragged B32:B38
    def test_b32_if_bonus_formula_or_result_is_correct(self):
        self._check_cell_value(
            31, 1, "B32",
            '=IF(B20="Target Met","20%","0%")',
            '=IF(B20="Target Met", "20%", "0%")',
            "0%", 0
        )

    def test_b33_if_bonus_formula_or_result_is_correct(self):
        self._check_cell_value(
            32, 1, "B33",
            '=IF(B21="Target Met","20%","0%")',
            '=IF(B21="Target Met", "20%", "0%")',
            "20%", 0.2
        )

    def test_b38_if_bonus_formula_or_result_is_correct(self):
        self._check_cell_value(
            37, 1, "B38",
            '=IF(B26="Target Met","20%","0%")',
            '=IF(B26="Target Met", "20%", "0%")',
            "0%", 0
        )


if __name__ == "__main__":
    unittest.main()


test_main.py

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Kickstart your journey with Excel by understanding its interface, basic functions, and essential data entry techniques. Learn how to navigate toolbars, worksheets, and master the fundamental elements to set a solid foundation.

Dive deeper into Excel by exploring advanced data entry and formatting options. Sharpen your skills in text and number formatting, discover how to effectively use styles, and enhance spreadsheet readability and functionality.

Unleash the power of Excel with an introduction to basic formulas and functions. Gain confidence in creating calculations, using cell references, and employing key functions like SUM, AVERAGE, MIN, and MAX to automate and simplify your data analysis tasks.

In this section, you will master advanced Excel formulas and functions, enhancing your ability to manage complex calculations. Learn to display and audit formulas, utilize nested and logical statements, and apply conditions effectively to streamline your data analysis tasks.

Explore comprehensive techniques for sorting, filtering, and managing data efficiently. This section covers everything from basic data organization to advanced filtering and table management, ensuring you can handle and analyze data effectively.

Dive into the art of data visualization using Excel's powerful charting tools. You'll learn to create various types of charts, customize them to enhance visual appeal, and manipulate data within charts to present clear and compelling visual stories.

Gain proficiency in managing worksheets and workbooks within Excel. This section teaches you how to effectively organize and manipulate workbook elements, utilize formatting tools, and secure your work with passwords, providing a thorough grounding in workbook operations.

Mastering IF Logical Tests and Relational Operators in Excel

Key Points

Solution