Course overview
In data science, it’s not enough to be able to analyze data. You must also be able to create compelling visualizations to share your insights and help people understand your findings.
In this course, you’ll learn the ggplot2 package, a powerful data visualization library for R. You’ll also learn how to add and work with multiple plots in your code to show different visualizations. By the end of this course, you’ll be able to create visualizations such as line charts, bar plots, scatter plots, histograms, and box plots to help others understand your data.
Best of all, you’ll learn by doing – you’ll practice and get feedback directly in the browser. At the end of the course, we’ll conclude with a guided data science project that uses real-world data about forest fires in Portugal.
Key skills
- Visualizing changes over time using line graphs
- Understanding data distributions using histograms
- Comparing graphs using bar charts and box plots
- Understanding relationships between variables using scatter plots
Course outline
Introduction to Data Visualization in R [5 lessons]
Visualizing Data with ggplot2 1h
Lesson Objectives- Implement ggplot2 for data visualization
- Visualize changes over time using line graphs
- Analyze trends using data visualization
Visualizing Data Distributions 1h
Lesson Objectives- Create bar charts, histograms, and box plots
- Identify the importance of data distributions
- Visualize distributions to analyze data trends
Visualizing Relationships Between Variables 1h
Lesson Objectives- Visualize trends across multiple variables
- Manipulate data to create a graph
- Identify when to use different data visualization techniques
Improving Your Visualizations 1h
Lesson Objectives- Create scatter plots using ggplot2
- Write a function to create multiple scatter plots
- Interpret scatter plots
Guided Project: Analyzing Forest Fire Data 1h
Lesson Objectives- Expand your portfolio with a data visualization project
- Identify when to use different data visualization techniques
- Answer questions using data visualization
Projects in this course
Analyzing Forest Fire Data
For this project, we’ll step into the role of data analysts to explore a dataset on forest fires. Using R and data visualization techniques, we’ll analyze trends and factors related to fire occurrence and severity.
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