Introduction to Data Visualization with R

Course Code

datavisR1

Duration

28 hours (usually 4 days including breaks)

Requirements

  • Basic R or Matlab knowledge
  • General understanding of trends in data, time series graphing

Overview

This course is intended for data engineers, decision makers and data analysts and will lead you to create very effective plots using R studio that appeal to decision makers and help them find out hidden information and take the right decisions

 

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

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £5800

Private Remote

From £5200 (89)

Public Classroom

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