R Programming Tutorial: How to Create Scatter Plots and Linear Regressions скачать в хорошем качестве

R Programming Tutorial: How to Create Scatter Plots and Linear Regressions

Curious about how tumor size impacts hospital stay duration? In today’s R programming deep dive, we use a real-world medical research dataset to visualize relationships and uncover trends using scatter plots and linear regression.[WHAT YOU’LL LEARN]In this episode of our R Programming Series, we’re moving beyond simple data entry into powerful visualization. You will learn:How to import and clean .csv datasets in RStudio.Calculating Basic Descriptive Statistics (Mean and Standard Deviation) to compare year-over-year data (2015 vs 2020).Building a Linear Regression Line ($y = mx + b$) to identify correlation.Mastering the plot() function: setting X/Y limits, labeling axes, and choosing plot symbols (pch).[TIMESTAMPS]0:00 - Introduction to the Medical Dataset0:35 - Re-running the Program & Data Cleanup1:35 - Descriptive Statistics (Mean & SD)2:55 - Introduction to Linear Regression in R3:45 - Creating your first Scatter Plot4:50 - Customizing Plot Limits and Labels5:30 - What’s coming in the next video![RESOURCES]Subscribe for more R tutorials: [Link]Download the dataset used in this video: [Link]#RProgramming #DataScience #RStudio #DataVisualization #LinearRegression #ScatterPlot #CodingTutorial #Statistics