Time

5 hours

Difficulty

Intermediate

In this guided lab by Next.Tech, we will take a deeper dive into R in order to conduct some exploratory data analysis to convert structured data into usable models/charts for analysis. This will cover critical topics in R and data science such as data set extraction, data partitions, and data visualization

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30m

What's in There - Exploratory Data Analysis

Reading Exercise

30m

Creating Standard Data Summaries

Virtual Lab

30m

Extracting a Subset of a Dataset

Creating Random Data Partitions

Virtual Lab

30m

Generating Standard Plots, such as Histograms, Boxplots, and Scatterplots

Virtual Lab

30m

Generating Multiple Plots on a Grid

Virtual Lab

30m

Creating Plots with the `lattice` Package

Virtual Lab

30m

Creating Charts that Facilitate Comparisons

Virtual Lab

30m

Creating Charts That Help to Visualize Possible Causality

Virtual Lab

In this course, you'll learn to perform exploratory data analysis in R.

By the end of this course, you will have the skills you need in R to convert structured data to charts and plots for analysis. This course covers:

Creating standard data summaries, Extracting a subset of a dataset, Splitting a dataset, Creating random data partitions, Generating standard plots, such as histograms, boxplots, and scatterplots, Generating multiple plots on a grid, Creating plots with the lattice package, Creating charts that facilitate comparisons, Creating charts that help to visualize possible causality

Prerequisites

Prior programming experience is not required! However, you may get more out of this course if you've already learned the basics of R and have taken Acquiring and Preparing Data in R.