Data Academy Subscription > Data with R > Grammar of Graphics: ggplot2
Course Description
In this course, you will explore the grammar of graphics, beginning with qplot to gain proficiency in ggplot2. You will use ggplot2 function to build more intuitive and better looking graphic and data visualizations. You will also examine scatterplots, facets, smoothing lines, boxplots, histograms, and barplots. You will learn to insert error bars, use line charts with temporal or time series data, and apply specific themes to improve visualizations.
Requirements
  • This course assumes knowledge of basic statistical terminology.
Instructor:
Minerva Singh
Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.