Summary  
This chapter covers manipulating text formatting properties by adjusting fonts, sizes, colors, emphasis (bold, italics, underline), and orientation, as well as applying predefined style presets to maintain a cohesive and professional layout.  

General domain of usage  
Spreadsheet design

In this chapter, you'll learn how to enhance the appearance of your spreadsheet by adjusting **fonts, sizes, and colors**, making your data easier to read and more visually appealing. 

We'll cover how to change **font size and style, add color to text, and use bold, italics, and underline** to emphasize key points. 

You'll also discover how to adjust **text orientation** for a unique touch and apply **cell styles** to maintain a cohesive and professional look throughout your spreadsheet. 

## Key Points
- Format the text by using the **Font Size, Font Style and Font Color** buttons in the **Font Group** on the **Home** tab;
- Add emphasis to your text with the **Bold and Italic** buttons in the **Home** tab;
- Use the **Orientation** button on the **Home** tab to change the orientation of the text;
- Use pre-defined **Cell Styles** from the **Home** tab to format headers uniformly.

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))
        )
        return None if cell is None else cell.get("v")

    def _check_cell_value(self, row, col, cell_ref, expected):
        actual = self._cell_value(row, col)

        _dynamic_test(
            self,
            actual == expected,
            f"{cell_ref} contains the expected value.",
            f"{cell_ref} should contain {expected!r}, but found {actual!r}."
        )

    def test_title_is_present(self):
        self._check_cell_value(2, 7, "H3", "Weekly Employee Timesheet")

    def test_company_name_is_present(self):
        self._check_cell_value(4, 7, "H5", "The Great Company")

    def test_employee_name_is_present(self):
        self._check_cell_value(4, 12, "M5", "Sylvia Foot")

    def test_table_header_is_present(self):
        self._check_cell_value(10, 7, "H11", "Date")

    def test_total_column_header_is_present(self):
        self._check_cell_value(10, 14, "O11", "Total [h].mm")

    def test_total_hours_label_is_present(self):
        self._check_cell_value(18, 7, "H19", "Total hrs")


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

test_main.py

Dive into the world of Excel with this comprehensive video course, designed to take you from basic navigation to mastering functions and basic data analysis. Starting with foundational skills like data entry and cell formatting, you'll quickly progress to using powerful tools. Whether you're organizing large datasets, performing statistical analysis, or creating dynamic charts, this course equips you with the practical skills needed in today’s data-driven environment.

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.

Text Formatting in Excel

Key Points

Solution