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Plots (Graphics) in R

Mo Rebaie
In this two-hour long project-based course, you will learn Data Visualization plots in Data Science. By the end of this project, you will have created and visualized correlation plots, deviation plots, ranking plots, distribution plots, composition plots,...
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In this two-hour long project-based course, you will learn Data Visualization plots in Data Science. By the end of this project, you will have created and visualized correlation plots, deviation plots, ranking plots, distribution plots, composition plots, time series plots, and clustering plots. This class is for learners who want to use R for Data Visualization and Plots, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization project course. Also, this project provides learners with basic knowledge about data visualization techniques and improves their skills in creating various types of charts and plots which helps them in fulfilling their career goals by adding this project to their portfolios.
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Explores data visualization tools used in Data Science, which is relevant to data professionals
Provides hands-on practice in creating various types of charts and plots, developing practical skills
Suitable for learners with a basic understanding of machine learning who seek to enhance their data visualization skills
Can serve as a portfolio project, demonstrating proficiency in data visualization techniques

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Reviews summary

Practical data visualization project

This two-hour, beginner-friendly project will help you create various R plots and improve your data visualization skills.
Can be completed in a short amount of time.
"In this two-hour long project-based course, you will learn Data Visualization plots in Data Science."
Can add value to your portfolio.
"Also, this project provides learners with basic knowledge about data visualization techniques and improves their skills in creating various types of charts and plots which helps them in fulfilling their career goals by adding this project to their portfolios."
Provides practical hands-on learning.
"By the end of this project, you will have created and visualized correlation plots, deviation plots, ranking plots, distribution plots, composition plots, time series plots, and clustering plots."
"I can draw plots now from nothing."
Suitable for beginners and those with minimal R experience.
"This isn't being taught from a beginner level. Just showing the code and running it."
"suitable for beginners."
Unclear instructor speech may hinder learning.
"THe instructor speach is hard to understand"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Plots (Graphics) in R with these activities:
Read 'Data Visualization: A Practical Introduction'
Gain a comprehensive understanding of data visualization principles and techniques from a respected expert.
View Visualize This: The FlowingData Guide to Design... on Amazon
Show steps
  • Read the book and take notes.
  • Identify key concepts and principles.
  • Apply the techniques to your own data analysis projects.
Explore interactive tutorials on data visualization
Gain hands-on experience and reinforce your learning through guided tutorials and interactive exercises.
Browse courses on Data Visualization
Show steps
  • Identify reputable sources for data visualization tutorials.
  • Select tutorials that align with your learning goals.
  • Follow the instructions and complete the exercises.
  • Review and reflect on your understanding.
Organize and review course materials
Enhance your understanding and retention by organizing and reviewing course materials regularly.
Show steps
  • Gather all course materials, including notes, assignments, and presentations.
  • Create a system for organizing the materials (e.g., folders, binders).
  • Regularly review the materials to reinforce your learning.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Participate in data visualization study groups
Gain diverse perspectives and enhance your understanding through collaborative learning with peers.
Browse courses on Data Visualization
Show steps
  • Identify or form a study group with other students in the course.
  • Establish regular meeting times and discuss data visualization concepts.
  • Share knowledge, insights, and experiences.
  • Collaborate on data visualization projects.
Complete data visualization coding exercises
Practice coding data visualization techniques to reinforce your understanding and improve your skills.
Browse courses on Data Visualization
Show steps
  • Review the course materials on data visualization coding.
  • Identify a dataset to work with.
  • Implement the data visualization coding techniques to create different types of plots and charts.
  • Interpret the results of your visualizations.
Challenge yourself with data visualization puzzles
Sharpen your data visualization skills by solving challenging puzzles and games.
Browse courses on Data Visualization
Show steps
  • Identify online or offline sources for data visualization puzzles.
  • Select puzzles that challenge your abilities.
  • Attempt to solve the puzzles using your data visualization knowledge.
  • Analyze the solutions and identify areas for improvement.
Attend data visualization workshops
Learn from experts and expand your knowledge through immersive workshop experiences.
Browse courses on Data Visualization
Show steps
  • Research upcoming data visualization workshops.
  • Register for and attend the workshops.
  • Participate actively and engage with the instructors and attendees.
  • Apply the knowledge and skills gained in your own projects.
Create a data visualization portfolio
Showcase your data visualization skills by creating a portfolio of your best work.
Browse courses on Data Visualization
Show steps
  • Gather your best data visualization projects.
  • Create a website or online portfolio to display your work.
  • Write descriptions and explanations for each project.
  • Promote your portfolio to potential employers or clients.
Contribute to open-source data visualization tools
Enhance your understanding and contribute to the community by participating in open-source data visualization projects.
Browse courses on Data Visualization
Show steps
  • Identify open-source data visualization tools that interest you.
  • Review the project documentation and codebase.
  • Identify areas where you can contribute.
  • Fork the repository and create a pull request.

Career center

Learners who complete Plots (Graphics) in R will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
Data Visualization Engineers use R for Data Visualization and Plots to create interactive and visually appealing data visualizations. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which is essential for effective data storytelling and communication.
See salaries and explore the career path for Data Visualization Engineer
Machine Learning Engineer
Machine Learning Engineers use R for Data Visualization and Plots to visualize data distributions, evaluate model performance, and debug models. This course helps build a foundation in data visualization techniques, which is essential for effective model development and deployment.
See salaries and explore the career path for Machine Learning Engineer
Statistician
Statisticians use R for Data Visualization and Plots to analyze data, draw inferences, and make predictions. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective statistical analysis and communication.
See salaries and explore the career path for Statistician
Data Scientist
Data Scientists use R for Data Visualization and Plots for exploratory data analysis, model evaluation, and communicating results. This course provides hands-on experience in creating different types of plots, which is crucial for data exploration and model interpretation.
See salaries and explore the career path for Data Scientist
Quantitative Analyst
Quantitative Analysts use R for Data Visualization and Plots to analyze financial data, identify trading opportunities, and manage risk. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective financial analysis and decision-making.
See salaries and explore the career path for Quantitative Analyst
Data Analyst
Data Analysts use R for Data Visualization and Plots to analyze data, identify trends, and communicate insights to stakeholders. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective data analysis.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers use R for Data Visualization and Plots to explore data, identify patterns, and optimize data processing pipelines. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which is essential for effective data management and engineering.
See salaries and explore the career path for Data Engineer
Research Scientist
Research Scientists use R for Data Visualization and Plots to analyze research data, identify patterns, and draw conclusions. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which is essential for effective scientific research and discovery.
See salaries and explore the career path for Research Scientist
Business Analyst
Business Analysts use R for Data Visualization and Plots to analyze business data, identify trends, and make recommendations. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective business analysis and decision-making.
See salaries and explore the career path for Business Analyst
Financial Analyst
Financial Analysts use R for Data Visualization and Plots to analyze financial data, identify investment opportunities, and make recommendations. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective financial analysis and decision-making.
See salaries and explore the career path for Financial Analyst
Product Manager
Product Managers use R for Data Visualization and Plots to analyze product data, identify customer insights, and make product decisions. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective product development and management.
See salaries and explore the career path for Product Manager
Healthcare Analyst
Healthcare Analysts use R for Data Visualization and Plots to analyze healthcare data, identify trends, and improve patient outcomes. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective healthcare analysis and decision-making.
See salaries and explore the career path for Healthcare Analyst
Marketing Analyst
Marketing Analysts use R for Data Visualization and Plots to analyze marketing data, identify trends, and optimize marketing campaigns. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective marketing analysis and decision-making.
See salaries and explore the career path for Marketing Analyst
Software Engineer
Software Engineers use R for Data Visualization and Plots to visualize data structures, debug code, and optimize performance. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which is essential for effective software development and maintenance.
See salaries and explore the career path for Software Engineer
UX Designer
UX Designers use R for Data Visualization and Plots to analyze user data, identify design patterns, and improve user experience. This course provides a foundation in data visualization techniques and helps build skills in creating various types of charts and plots, which are essential for effective UX research and design.
See salaries and explore the career path for UX Designer

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Plots (Graphics) in R.
Cover image
Beautiful Evidence
Save
Presents a cross-disciplinary review of fundamental principles for the graphical display of quantitative information.
Beautiful Evidence
Hardcover
$$
Cover image
A Guide to Visual Multi-Level Interface Design From...
Save
Classic in the field of data visualization and provides a broad overview of the subject.
A Guide to Visual Multi-Level Interface Design From...
Paperback
$$
Cover image
Advanced R, Second Edition
Save
Introduces the 'ggplot2' package for creating graphics in R.
Advanced R, Second Edition (Chapman & Hall/CRC The...
Paperback
$$$
Advanced R, Second Edition (Chapman & Hall/CRC The...
Kindle Edition
$$$
Cover image
Statistical Application Development with R and...
Save
Provides a practical guide to data visualization for machine learning practitioners.
Statistical Application Development with R and...
Kindle Edition
$$
Cover image
R Graphics Cookbook
Save
Aims to provide a practical guide to creating effective graphics in R.
R Graphics Cookbook
Paperback
Check
R Graphics Cookbook
Kindle Edition
Check
Cover image
R Graphics, Third Edition
Save
Would be more valuable for learners who want to go deeper into advanced R graphics after completing the course.
R Graphics, Third Edition (Chapman & Hall/CRC The R...
Paperback
$$
R Graphics, Third Edition (Chapman & Hall/CRC The R...
Kindle Edition
$$
Cover image
Python Data Science Handbook
Save
Covers data visualization using Python and JavaScript, which is outside the scope of the course.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Python pour la Data Science - Les meilleures outils...
Paperback
$$$
Python Data Science Handbook
Kindle Edition
$$

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Instructor
Mo Rebaie
Good to know
Explores data visualization tools used in Data Science, which is relevant to data professionals
Provides hands-on practice in creating various types of charts and plots, developing practical skills
Suitable for learners with a basic understanding of machine learning who seek to enhance their data visualization skills
Can serve as a portfolio project, demonstrating proficiency in data visualization techniques
Share and help others discover this course.
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