Section: Module 4: Basic Dataset Analysis in R | Navigating RStudio

Welcome to Module 4, this is the last module of the course. It is a cohesive guide that encompasses setting up RStudio, cleaning datasets, performing basic statistical analysis, and creating graphs for visual data representation. In Lesson 1, we establish the foundation by setting up RStudio and getting data into it, ensuring you're ready for the subsequent lessons. Lesson 2 dives into the crucial process of cleaning and preparing a dataset, an essential step for any data analysis. In Lesson 3, we delve into basic methods of statistical analysis, covering descriptive statistics, frequency tables, and cross-referencing tables enabling you to uncover insights from your data. Lesson 4 encapsulates all the previous lessons, teaching you how to use graphing techniques on RStudio to visualize your data beautifully and effectively. This module should take approximately 6 hours to complete.

Introduction

Course Registration

Peer Corner

Pre-Test

Module 1: Introducing R

Introducing R

Introduction to R

Using R

Exercise 1

Module 1 Activity

Using R Part 1

Using R Part 2

Using R Part 3

Module 2: Data Structures in R

Objects in R

Numbers, Vectors, and Matrices

Up and Running with R

Data Frames, Factors, Lists, Strings, and Boolean Values

Entering and Importing Data into R

Entering and Importing Data into R

Exercise 2

Module 2 Activity: Importing data from Excel into R

Module 3: Creating Graphs in Base R

Introduction to Graphs in R

Parameters for Graphing 1

Parameters for Graphing 2

Graphing Parameters 1

Graphing Parameters 2

Introduction to Graphing with R

Module 3 Activity: Creating a Graph with Parameters

Module 4: Basic Dataset Analysis in R

This is RStudio

Using RStudio

Importing Data into RStudio from Excel

Introduction to RStudio Part 1

Introduction to RStudio Part 2

Module 4 Activity 1

Module 4 Activity 2

Cleaning and Preparing Your Dataset

Preparing and Cleaning Data with RStudio Part 1

Preparing and Cleaning Data with RStudio Part 2

Preparing and Cleaning Data with RStudio Part 3

Module 4 Activity 3

Module 4 Activity 4

Module 4 Activity 5

Patients1

VData2

Basic Methods of Statistical Analysis 1

Basic Methods of Statistical Analysis 2

Module 4 Activity 3

TripData2.xlsx

Summarizing Your Data with RStudio

Basic Graphs of Statistics 1

Visualizing Data with RStudio Part 1

Basic Graphs of Statistics 2

Visualizing Data with RStudio Part 3

Visualizing Data with RStudio Part 2

Module 4 Activity: Basic Data Visualization

Module 4 Activity 8

Doctor.xlsx

Hospital_Dis.xlsx

Patient_Wing9.xlsx

Final Exam

Course and Self Evaluation & Certificate

Course Activities

Section: Module 4: Basic Dataset Analysis in R | Navigating RStudio | NextGenU.org

Module 4: Lesson 1: This is RStudio

Student Learning Outcomes:

Required Learning Resources and Activities

Module 4: Lesson 2: Cleaning and Preparing a Dataset

Student Learning Outcomes:

Required Learning Resources and Activities

Module 4: Lesson 3: Basic Methods of Statistical Analysis

Student Learning Outcomes:

Required Learning Resources and Activities

Module 4: Lesson 4: Basic Graphs of Statistics

Student Learning Outcomes:

Required Learning Resources and Activities