Data Visualisation with ggplot2 for R (DR212)
In this training course you will learn Data Visualisation with ggplot2, a popular package for : The Statistical Programming Language. R is widely used as a data analysis tool and data visualisation is an important part of that. In this training course Data Visualisation with ggplot2 (DR212) you’ll learn how to use for data visualisation. Visual presentation of data and results is an important part of data analysis, and a key element in data mining as well as reporting. A good graph or chart can make your data and results understandable to you, your colleagues, clients or customers.
During the Data Visualisation with ggplot2 training course you will learn how to conduct data visualisation with ggplot2 and R to produce a range of different graphs that will allow you to present data in the most appropriate manner. You’ll learn about the ggplot2 system and how to produce a range of graphics, such as bar charts, box-whisker plots, and scatter plots.
Learning R for Data Visualization with ggplot2 - Course Overview
Data Visualisation with ggplot2 training course you will learn to use R for data visualization using the ggplot2 system. R has powerful graphical capabilities, which are enhanced by the popular R package ggplot2
Who should attend
Presentation of data and results is fundamentally important in making data and analyses accessible to others. This course is for anyone who works with data and therefore needs to present data and results graphically.
What you will learn/course outline
The Data Visualisation with ggplot2 training course covers a range of topics, including:
- Introduction to ggplot2
- Graphics for distribution
- Histograms
- Dot plots
- Density plots
- QQ plots
- Graphics for differences
- Bar and column charts
- Single category charts
- Multiple category charts
- Error bars on bar charts
- Box-whisker plots
- Violin plots
- Dot plots
- Bar and column charts
- Scatter plots
- Regression lines
- Line graphs
- Line segments
- Error bars
- Labels
- Coordinate systems
- Position adjustment
- Facets
- Legends
- Themes
- Exporting graphics
Prerequisites
ggplot2
What to bring
You’ll simply need a computer and the R program. A spreadsheet is also helpful, but not essential. Online courses are delivered using the software, which is available for Windows or Macintosh computers. Support material is supplied online, usually via Google Classroom.
You can get R from the . We also recommend using , which is a useful “wrapper” for R. RStudio is very useful and has many additional features that help “drive” R.
How Long does the Data Visualisation with ggplot2 Course Last?
Data Visualisation with ggplot2
Since COVID-19 online courses have been more popular. All our data training courses are available online, which means we can be flexible about dates. We can also arrange training at our main training centre in London, or at your workplace. At the moment there are no set dates for courses but you can to see details of forthcoming events.
Our main training centre is at 107, Cheapside, London EC2V 6DN. This is right in the heart of London and is close to Bank and St. Paul’s underground stations.
Related Courses
The Data Visualisation with ggplot2 course (DR212) is designed to help you present your data more effectively, using the powerful Open Source program R. Other R-based courses include:
- Beginning R – A foundation course in using R: the statistical programming language.
- Data Visualisation using R (DR202) – Advanced data visualisation using R (2-day).
- Data Mining using R – Exploring data using R (2-day).
My Publications
I have written several books on ecology and data analysis
Register your interest for our Training Courses
We run training courses in data management, visualisation and analysis using Excel and R: The Statistical Programming Environment. Courses will be held at one of our training centres in London. Alternatively we can come to you and provide the training at your workplace.
Get In Touch Now
for any information regarding our training courses, publications or help with a data project