Data Frame Construction in R | From Variables to Analysis скачать в хорошем качестве

Data Frame Construction in R | From Variables to Analysis

Unlock the power of R! 📊 In this fourth installment of our series on the Kabacoff code, Professor Golding walks you through one of the most fundamental concepts in R programming: The Data Frame. Whether you're a medical professional tracking patient data or a student just starting your data science journey, understanding how to structure, label, and access data frames is crucial. In this video, you’ll learn: ✅ What exactly a Data Frame is (and why it’s "rectangular"). ✅ How to create a data frame using vectors like patientID, age, and diabetes. ✅ The difference between integer, numeric, and character data types. ✅ Pro-tips on shorthand vs. longhand notation in RStudio. ✅ How to select specific columns and records for analysis. Timestamps: 0:00 - Introduction to Data Frames 0:45 - Defining the Data Frame Object 1:30 - Practical Example: Creating Patient Data 2:55 - Examining Data Classes (Integer vs. Numeric) 3:50 - Selecting Columns & Shorthand Notation 5:10 - Accessing Specific Elements and Records Resources: Book Reference: R in Action by Robert Kabacoff Tools Used: RStudio #RProgramming #DataScience #RStudio #DataFrames #CodingForBeginners #ProfessorGolding #Statistics #DataAnalytics