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Jean
Jean

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How Excel is Used in Real-World Data Analysis.

What is Excel?

Excel is a spreadsheet software developed by Microsoft that allows you to collect, analyze, calculate and visualize data efficiently. It is also a powerful tool used for personal as well as professional data management.

Features of Excel.

Excel has many features which can be found in the ribbon at the top of an Excel worksheet as shown below:


Excel as many features which are used together in data cleaning and preparation, data enrichment and data analysis enabling data analysts to answer the question, "What happened?" Some of these features include functions such as aggregate and logical functions. Other functions include pivot tables, slicers and charts. Excel enables data cleaning and preparation in that it enables users to take care of errors such as duplicate data using tools such as "Remove duplicates".

Formulas and functions in excel such "SUM", "AVERAGE" allows users to perform calculations quickly and accurately without having to worry about not including some values as one would normally while using a calculator. Logical functions like =IF() enables excel users in schools for example, to know whether a student is an "Excellent performer", "Good performer", "Average performer" or a "Poor performer" enabling one to do analysis for students in a schools easily and swiftly.

Data visualization is also enabled using excel using charts such as pie charts, line charts, bar graphs and scatter plots to transform data into visual representation that are easier to understand and summarize important data in a large dataset.
These charts can be used to analyze trends and patterns enabling industries to make good decisions.

These charts with the help of slicers and KPIs can be used to create a dashboard which enables analysts for example to report and share their insights.

Where is excel used.

Excel is used in industries such as education, business, healthcare and for scientific research enabling such industries in decision making and allowing them to analyze their data to determine whether there are any loses made and where improvement needs to be done in different areas.

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