r Advbeginner v5

ADVANCED BEGINNER’S guide to

By Sharon Machlis, Edited by Johanna Ambrosio

FROM IDG

Advanced beginner’s guide to R COMPUTERWORLD.COM

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o you’ve gone through the Computerworld Beginner’s Guide to R and want to take some next steps in your R journey? In this advanced beginner’s guide, you’ll learn data wrangling, best packages to use for different tasks, how to make maps with R and more.

Table of Contents Create choropleth maps in R

Wrangle data with R n  Add a column to an existing data frame

n  Step 1: Get election results data

n  Syntax 1: By equation

n  Step 2: Decide what data to map

n  Syntax 2: R’s transform() function

n  Step 3: Get your geographic data

n  Syntax 3: R’s apply function

n  Step 4: Merge spatial and results data

n  Syntax 4: mapply()

n  Step 5: Create a static map

n  Syntax 5: dplyr

n Step 6: Create palette and pop-ups for interactive maps

n  Getting summaries by data subgroups

n  Step 7: Generate an interactive map

n  Bonus special case: Grouping by date range

n  Step 8: Add palettes for a multi-layer map

n  Sorting your results

n  Step 9: Add map layers and controls

n  Reshaping: Wide to long

n  Step 10: Save your interactive map

n  Reshaping: Long to wide

n  Create a Leaflet map with markers

n  dplyr basics

Extract custom data from the Google Analytics API

Visualizing data with ggplot2 n  ggplot2 101

n Step 1: Install packages

n  Command cheat sheet

n Step 2: Allow rga to access your Google Analytics account

Great R packages for data import, wrangling and visualization

n Step 3: Extract data n Step 4: Manipulate your data

More R Resources

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Advanced beginner’s guide to R COMPUTERWORLD.COM

Wrangle data with R I’ve created a sample data set with three years of revenue and profit data from Apple, Google and Microsoft. (The source of the data was the companies themselves; fy means fiscal year. And while the data is a bit old now, the wrangling will be the same regardless of fiscal year.) If you’d like to follow along, you can type (or cut and paste) this into your R terminal window:

fy