1. Course description.
This course is designed to address all most essential topics in graphical data visualisation using R language. The attendees will be presented with numerous examples on how to create and edit different types of graphs, plots, diagrams, and charts using both in-built standard R functions and more advanced syntax from external packages such as ggplot2 and lattice etc. Apart from static data visualisation techniques, the course will serve as a good introduction to advanced methods such as interactive graphs in rCharts, ggvis and plotly, as well as reactive plotting using Shiny framework. All presented techniques will be practised during tutorial sessions.
Throughout the course the attendees will learn to:
- correctly use colours and apply palettes for different types of graphs and plots,
- set default graphical parameters and edit them for specific visualisations,
- plot various types of static graphs in core R and third-party packages e.g. ggplot2, lattice etc., such as bar plots, line graphs, histograms, density plots, polygons, pie charts, scatterplots, box plots, violin plots, correlograms, spider plots etc.,
- edit, add and adjust specific graphical and textual elements of created visualisations such as axis and value labels, titles/subtitles, annotations, ticks, margins, backgrounds, plotting symbols, line types, colours, borders, secondary axes, legends, and many more,
- superimpose elements from one type of graph onto another e.g. a density curve on a histogram etc.,
- statistical test-specific data visualisations and available graphical options e.g. plotting two descriptive statistics on one graph,
- create templates and simple dashboards with multiple visualisations and textual annotations on one page in core R and ggplot2,
- export data visualisations from R to various formats for publishing.
The course will run for 3 days from 9:30am until ~5:00pm on each day and will consist of alternating lecture-style presentations and practical tutorials. The example datasets used during tutorial sessions will come from social sciences, economics and business fields, however the contents may vary depending on specific interests of participants (based on the Participant's Skills Inventory). There will be two 15-minute coffee/tea breaks and one 1-hour lunch break on each day of the course.
3. What is included?
Apart from the contents of the course, Mind Project will provide the participants with the following:
- a digital (USB memory stick) Course Manual including all presentation slides, R course codes and a list of reference books and online resources,
- additional home exercises and all data sets available to download,
- Wi-Fi access,
- Central London location - at the Ironmongers' Hall, a short walk from the Barbican, St. Paul's and Moorgate stations and next to the Museum of London,
- networking opportunity,
- Mind Project course attendance certificate.
4. Further instructions.
- In order to benefit from the contents of the course it is recommended that attendees have the most recent version of R and R Studio software installed on their personal laptops (any operating system). As R is a free environment you can download it directly from www.r-project.org website and R Studio is available at https://www.rstudio.com/products/rstudio/#Desktop. Please contact us should you have any questions or issues with the installation process. No specific R packages are required before the course (the course tutors will explain this during the training).
- This course is targeted at users with some R experience (preferably at least Novice level) and interest in data visualisations. Our “Applied Data Science in R” training course is a good pre-requisite to participate in this course.
- Participants are encouraged to complete the online Participant's Skills Inventory available at http://mindproject.co.uk/skillsinventory.html to allow Mind Project and our course tutors to customise the contents of the course depending on the level of participants' knowledge and their areas of interest. The data obtained through the Participant's Skills Inventory will be held fully-confidential and will only be used to provide a quality data analysis training.
- By purchasing a place on one of our courses you agree to the Terms and Conditions available at http://mindproject.co.uk/trainingterms.html. Please read the Terms and Conditions before making a booking.
- The deadline for registrations on this training course is Friday,23rd of September 2016 at 16:00 London (UK) time. However, Mind Project reserves the right to end the registration process earlier if all places are booked before the deadline.
Should you have any questions please contact Mind Project Ltd at email@example.com or by phone on 0203 322 3786. Please visit the course website at http://mindproject.co.uk/data-visualisation-london-sep16.html.