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Exploring and Visualizing US Census Data with R : Using Tidycensus and Tidyverse to Import, Manipulate, Explore, and Visualize Census Data by Eric Pimpler (2019, Trade Paperback)
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The student will learn the language and applications through examples and practice. No prior programming skills are required. Exploring and Visualizing US Census Data with R by Eric Pimpler. Title Exploring and Visualizing US Census Data with R.
- Buy It NowExploring and Visualizing US Census Data with R: Using tidycensus and tidyverse
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About this product
Product Identifiers
PublisherIndependently Published
ISBN-101702556352
ISBN-139781702556354
eBay Product ID (ePID)12038770572
Product Key Features
Number of Pages132 Pages
Publication NameExploring and Visualizing US Census Data with R : Using Tidycensus and Tidyverse to Import, Manipulate, Explore, and Visualize Census Data
LanguageEnglish
Publication Year2019
SubjectData Visualization
TypeTextbook
AuthorEric Pimpler
Subject AreaComputers
FormatTrade Paperback
Dimensions
Item Height0.3 in
Item Weight8.5 Oz
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Intended AudienceTrade
SynopsisIn this book you will learn how to use R with the tidycensus and tidyverse packages to explore and visualize US Census data.tidycensus is an R package that allows users to interface with the US Census Bureau's decennial Census and five-year American Community APIs and return tidyverse-ready data frames, optionally with simple feature geometry included. tidycensus is designed to help R users get Census data that is pre-prepared for exploration within the tidyverse, and optionally spatially with the sf package.If your work involves the use of data from the US Census Bureau and would like to use R to explore, manipulate, and visualize these datasets, the tidycensus and tidyverse packages are great tools for accomplishing these tasks. Beyond this, the sf package now allows R users to work with spatial data in an integrated way with tidyverse tools, and updates to the tigris package provide access to Census boundary data as sf objects.This book will also allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, graph, and map formats. The student will learn the language and applications through examples and practice. No prior programming skills are required.
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