Data Visualization with R Course

Data Visualization with R

COURSE TRAINERS

Details

To interpret your data and draw insights, you need to be able to visualise it. R is a programming language enjoyed by data scientists for its ability to process and utilise data. With R, you'll be able to take your data and use it to tell insightful stories with compelling visualisations to convince stakeholders and build trust.

In this course, you will learn:

Data visualization principles
How to communicate data-driven findings
How to use ggplot2 to create custom plots
The weaknesses of several widely-used plots and why you should avoid them

Delivery Methods

Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.

Delivery Method	Duration	Price (excl. VAT)
Fulltime	4 Days	R 11,596.00	Get a Quote
Webinar	4 Days	R 9,400.00	Get a Quote

Discounts Available

Brochure:

Information may change without notice.

Audience

Data scientists
Programmers
Business analysts
Engineers
Scientists

Pre-Requisites

Leading Training's R Programming Course or equivalent knowledge

Course Outline / Curriculum

Introduction to data visualization

ggplot2

The components of a graph
ggplot objects
Geometries
Aesthetic mappings
Layers
- Tinkering with arguments
Global versus local aesthetic mappings
Scales
Labels and titles
Categories as colors
Annotation, shapes, and adjustments
Add-on packages
Putting it all together
Quick plots with qplot
Grids of plots
Exercises

Visualizing data distributions

Variable types
Case study: describing student heights
Distribution function
Cumulative distribution functions
Histograms
Smoothed density
- Interpreting the y-axis
- Densities permit stratification
Exercises
The normal distribution
Standard units
Quantile-quantile plots
Percentiles
Boxplots
Stratification
Case study: describing student heights (continued)
Exercises
ggplot2 geometries
- Barplots
- Histograms
- Density plots
- Boxplots
- QQ-plots
- Images
- Quick plots
Exercises

Data visualization in practice

Case study: new insights on poverty
- Hans Rosling’s quiz
Scatterplots
Faceting
- facet_wrap
- Fixed scales for better comparisons
Time series plots
- Labels instead of legends
Data transformations
- Log transformation
- Which base?
- Transform the values or the scale?
Visualizing multimodal distributions
Comparing multiple distributions with boxplots and ridge plots
- Boxplots
- Ridge plots
- Example: 1970 versus 2010 income distributions
- Accessing computed variables
- Weighted densities
The ecological fallacy and importance of showing the data
- Logistic

Data visualization principles

Encoding data using visual cues
Know when to include
Do not distort quantities
Order categories by a meaningful value
Show the data
Ease comparisons
- Use common axes
- Align plots vertically to see horizontal changes and horizontally to see
vertical changes
- Consider transformations
- Visual cues to be compared should be adjacent
- Use color
Think of the color blind
Plots for two variables
- Slope charts
- Bland-Altman plot
Encoding a third variable
Avoid pseudo-three-dimensional plots
Avoid too many significant digits
Know your audience
Exercises
Case study: vaccines and infectious diseases
Exercises

Robust summaries

Outliers
Median
The inter quartile range (IQR)
Tukey’s definition of an outlier
Median absolute deviation
Exercises
Case study: self-reported student heights

Schedule Dates and Booking

There are currently no scheduled dates.

Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.

Add me to the waiting list

Should you need this course urgently, the following options are available:

Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
If you have fewer delegates and cannot pay for 6, we can negotiate a shortened course where some of the time will be spent in blended learning - watching videos and doing tutorials and exercises with some contact time with the trainer. We would want to discuss what your core needs are so that we cover those aspects. You need to have paid for 3 delegates at least.

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