Exploring and Visualizing US Census Data with R: Using tidycensus and tidyverse to import, manipulate, explore, and visualize census data

Pimpler, Eric

ISBN 10: 1702556352 / ISBN 13: 9781702556354

Verlag: Independently published, 2019

Beschreibung

The item is in good condition and works perfectly, however it is showing some signs of previous ownership which could include: small tears, scuffing, notes, highlighting, gift inscriptions, and library markings.

Bestandsnummer des Verkäufers 4BQWN80052KD

Bibliografische Details

• Titel: Exploring and Visualizing US Census Data with R: Using tidycensus and tidyverse to import, manipulate, explore, and visualize census data
• Verlag: Independently published
• Erscheinungsjahr: 2019
• Sprache: Englisch
• ISBN-10: 1702556352
• ISBN-13: 9781702556354
• Einband: paperback
• Zustand: Good

Über diesen Titel

Inhaltsangabe

In 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.