This report outlines a simple Microsoft Excel task aimed at creating pivot tables that provide insights derived from medical students' data. The task involves data cleaning and analysis.
Data Cleaning: This involves removing duplicated values, errors, and missing values from the dataset before preparing for analysis.
Data Analysis: This involves using a pivot table to perform data analysis and extract key statistics, such as averages, counts, and sums.
- The objective is to create pivot tables displaying the following information from the medical students' data:
- Average Values for Males and Females:
- Age
- BMI (Body Mass Index)
- Temperature
- Heart Rate
- Blood Pressure
- Cholesterol
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Average Height and Weight for Both Genders; These values were rounded to two decimal places.
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Number of Students Across Different Blood Groups
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Number of Students Who Smoke and Those Who Don't
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Number of Students Who Have Diabetes and Those Who Don't
The completion of this task yields valuable insights into the medical students' data, allowing for a better understanding of styudents' population and health-related parameters. This information can be useful for making informed decisions and recommendations. Below is the proof of the pivot tables created.