Packt
How to Visualize Data with R

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Packt

How to Visualize Data with R

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify and list the steps to install and configure R and RStudio

  • Describe the structure and purpose of different data types in R

  • Use R to import and inspect datasets from external sources

  • Create scatter plots and apply linear regression models to identify trends in data

Details to know

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Recently updated!

October 2024

Assessments

1 assignment

Taught in English

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There are 4 modules in this course

In this module, we will introduce the course and its objectives, ensuring you understand what to expect. We will guide you through installing R and RStudio, obtaining relevant data from the US National Weather Service, and inspecting the data to comprehend its structure and content.

What's included

5 videos1 reading

In this module, we will delve into coding practices essential for data analysis in R. You'll start by reading data into R and understanding the different data types. We'll cover creating visual data representations, building and assessing linear regression models, and automating plot generation using loops. Finally, you'll learn to display multiple graphs together for comprehensive data comparison.

What's included

7 videos

In this module, we will explore the installation and use of R packages, specifically focusing on the ggplot2 package for data visualization. You will learn to leverage pre-written functions to simplify your coding process and create sophisticated plots. By the end of this section, you will be able to plot and highlight specific data points, such as minimum and maximum temperatures, customize the aesthetics of your plots, and analyze data trends through enhanced graphical representations.

What's included

2 videos

In this module, we will wrap up the course, summarizing the key concepts and skills you have acquired. We will reflect on how you can apply what you've learned in R and RStudio to real-world data analysis projects. Additionally, we will discuss potential next steps for further learning and skill enhancement in data science and programming with R. Lastly, we will provide resources and guidance for continued practice and exploration to further solidify your understanding and expertise.

What's included

1 video1 assignment

Instructor

Packt - Course Instructors
Packt
373 Courses11,888 learners

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