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Elizabeth Munyao
Elizabeth Munyao

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**The Use of Excel for Data Analysis in the Real World**

One might wonder, what exactly is an Excel sheet? This is especially true for people who have never interacted with Microsoft Excel. To put it simply, Excel is a spreadsheet software program developed by Microsoft. It is part of the Microsoft Office suite and is widely used for various tasks such as data entry and storage, calculations, data analysis, data visualization, automation, and even financial modelling.

When you take a closer look at how Excel functions, you realize its power in data analysis across different industries. For instance, in hospitals, Excel can be used to analyse the number of patients treated over a specific period, their ages, common illnesses, and the types of medication prescribed. With such data, the hospital administration—and even the government—can make informed decisions. They can identify health trends, plan adequately for future cases, and ensure the right medication is available in sufficient quantities. This can also help in identifying the root cause of an outbreak, improving public health responses.

In the aviation industry, Excel plays a significant role in analysing flight data. For example, airlines can track how frequently certain routes are travelled and determine which ones are most profitable. By comparing revenue generated per route with the associated expenses, decision-makers can figure out whether it makes financial sense to add more flights or discontinue a certain route altogether. These kinds of decisions, which could otherwise take weeks to make, become quicker and more precise when the right data is available and well-analysed using Excel.

Moving over to the education sector, Excel is heavily relied upon to assess student performance. Institutions can analyse marks across subjects, identify performance trends, and even normalize grading curves before publishing final results. This is especially important in systems where progression to the next academic level depends on performance. Excel helps administrators ensure fairness and accuracy in grading, making it easier to identify students who need additional support or intervention.

What makes Excel particularly useful is that it is accessible and easy to use for beginners, yet powerful enough for complex data tasks when used by professionals. With built-in functions, charts, pivot tables, and the ability to handle large datasets, Excel bridges the gap between simple data entry and high-level analysis.

Some of the formulas I've found really helpful in Excel include SUM, AVERAGE, MAX, and MIN. They've made it so much easier to work with numbers and get the figures I need in just a short time. For instance, using a formula like =SUM(B1:B22) gives me the total of everything in that row or column—super useful when I'm dealing with a lot of data. Then there's =AVERAGE(B1:B22), which helps me quickly see the average of a set of numbers, especially when I want to understand the general trend. When I need to know the highest or lowest value in a column, I just use =MAX(C1:C10) or =MIN(C1:C10), and Excel does the work instantly. These simple formulas have really made my work smoother and saved me a lot of time.

In conclusion, Excel is more than just a spreadsheet—it is a practical and powerful tool for real-world data analysis. From hospitals to airlines to schools, it helps organizations understand their data, make evidence-based decisions, and improve efficiency. Whether you are a beginner or an expert, Excel gives you the ability to transform raw numbers into meaningful insights, and in today's data-driven world, that is truly invaluable.

Written by: Elizabeth Munyao.

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