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Course Outline
Day 1:
- overview of R programming
- introduction to data visualization
- scatter plots and clusters
- the use of noise and jitters
Day 2:
- other type of 2D and 3D plots
- histograms
- heat charts
- categorical data plotting
Day 3:
- plotting KPIs with data
- R and X charts examples
- dashboards
- parallel axes
- mixing categorical data with numeric data
Day 4:
- different hats of data visualization
- disguised and hidden trends
- case studies
- saving plots and loading Excel files
Requirements
- Basic R or Matlab knowledge
- General understanding of trends in data, time series graphing
28 Hours
Testimonials (5)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire
L'adaptation parfaite à mon besoin
Thomas - AXA Wealth Services
Course - TIBCO for Developers
Spora dawka naprawdę praktycznej wiedzy
Emilia - Bank Polska Kasa Opieki Spółka Akcyjna
Course - Monitoring with Grafana
We were using road accident data for practicals