Data Summary Techniques in Excel | Categorical & Numerical Variables Hands on projects-Part2
Автор: Business Courses
Загружено: 2025-05-20
Просмотров: 4
#DataAnalysis #ExcelTutorial #BusinessAnalytics #CategoricalData #NumericalData #MLBSalaries #SupermarketData #ExcelHistogram #DescriptiveStatistics #DataVisualization #MISLecture #ExcelForBeginners #QuantitativeMethods
In this hands-on lecture, we explore how to summarize and visualize data using Excel, focusing on both categorical and numerical variables. Through real-world datasets—including MLB player salaries and supermarket transactions—you’ll learn how to extract meaningful insights using summary measures and charts.
🔍 Key Topics Covered:
✔ Categorical Data Summary
Using counts and percentages to describe categories
Visualizing with column charts and pie charts
Case Study: Supermarket transactions over two years
Variables: Children, Units Sold, Revenue, Purchase Date, Customer ID
✔ Numerical Data Summary
Measures of central tendency: Mean, Median, Mode
Measures of variability: Range, IQR, Variance, Standard Deviation
Measures of shape: Skewness, symmetry
Case Study: 2015 MLB player salaries
Variables: Name, Team, Position, Salary
✔ Excel Tools in Action
Creating histograms using Excel 2016’s Statistics group
Using functions: AVERAGE, MEDIAN, MODE, MIN, MAX, VAR.S, STDEV.S, PERCENTILE, QUARTILE
Understanding dummy variables, binned variables, and date variables
📈 Why Watch?
This video is perfect for students, analysts, and professionals who want to master data summarization techniques using Excel and apply them to real-world business and sports datasets.
👍 Like, subscribe, and turn on notifications to follow our full series on business analytics and Excel-based data analysis!
Reference: Business Analytics
ISBN: 9781305947542
Author: Albright/Winston
Published by: Cengage

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