How to Analyze Data in R: A Beginner's Guide

How to Analyze Data in R: A Beginner's Guide
Five key points R is a powerful tool for data analysis, but it can be intimidating for beginners. How to use R to import, explore, manipulate, model, and evaluate data using various functions and packages. How to use functions from the tidyverse, stats, car, broom, and caret packages to perform different tasks in data analysis. Predicts life expectancy based on GDP per capita and continent using regression models. The complete code and dataset for this project are on rstudiodatalab.com. Data Analysis in R: A Beginner's Guide + Build a Predictive Project R is a robust data analysis tool that can be intimidating for beginners. If you want to learn how to use R to analyze data, this article is for you. In this article, you will learn: How to import data into R How to explore data using descriptive statistics and visualization How to manipulate data using dplyr How to create predictive models using regression How to evaluate and improve your models After this article, you will have a …

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Ph.D. Scholar | Certified Data Analyst | Blogger | Completed 5000+ data projects | Passionate about unravelling insights through data.

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