Cantitate/Preț
Produs
Total produse
Vezi coșul
Analyzing US Census Data: Methods, Maps, and Models in R de Kyle Walker

Analyzing US Census Data: Methods, Maps, and Models in R: Chapman &Hall/CRC The R Series

Autor Kyle Walker
en Limba Engleză Paperback – 16 feb 2023
This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 43761 lei  3-5 săpt. +19249 lei  4-10 zile
  CRC Press – 16 feb 2023 43761 lei  3-5 săpt. +19249 lei  4-10 zile
Hardback (1) 105562 lei  6-8 săpt.
  CRC Press – 16 feb 2023 105562 lei  6-8 săpt.

Din seria Chapman &Hall/CRC The R Series

  • Graphical Data Analysis with R
    Preț: 34332 lei
  • 20% Introduction to Scientific Programming and Simulation Using R
    Preț: 52996 lei
  • Analyzing Baseball Data with R
    Preț: 35244 lei
  • 8% Tidy Finance with R
    Preț: 43944 lei
  • R for Political Data Science: A Practical Guide
    Preț: 35663 lei
  • 20% Learn R: As a Language
    Preț: 41242 lei
  • 8% Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
    Preț: 49079 lei
  • Behavior Analysis with Machine Learning Using R
    Preț: 36029 lei
  • ANOVA and Mixed Models: A Short Introduction Using R
    Preț: 40098 lei
  • 8% Practical R for Mass Communication and Journalism
    Preț: 38632 lei
  • 20% Interactive Web-Based Data Visualization with R, plotly, and shiny
    Preț: 45583 lei
  • 20% Hands-On Machine Learning with R
    Preț: 54869 lei
  • Geocomputation with R
    Preț: 35830 lei
  • 8% Statistical Computing with R, Second Edition
    Preț: 49154 lei
  • 8% Spatial Data Science: With Applications in R
    Preț: 54464 lei
  • Introductory Fisheries Analyses with R
    Preț: 35096 lei
  • 8% Reproducible Research with R and RStudio
    Preț: 41806 lei
  • Advanced R, Second Edition
    Preț: 39157 lei
  • Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
    Preț: 35663 lei
  • 20% Modern Data Visualization with R
    Preț: 40814 lei
  • R Markdown: The Definitive Guide
    Preț: 26053 lei
  • Engineering Production-Grade Shiny Apps
    Preț: 38917 lei
  • 23% Extending R
    Preț: 130505 lei
  • 8% Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis
    Preț: 43887 lei
  • bookdown: Authoring Books and Technical Documents with R Markdown
    Preț: 15212 lei
  • Event History Analysis with R
    Preț: 35966 lei
  • 8% Outstanding User Interfaces with Shiny
    Preț: 42296 lei
  • 20% R Graphics, Third Edition
    Preț: 30868 lei
  • R Markdown Cookbook
    Preț: 23573 lei
  • 17% Testing R Code
    Preț: 27158 lei
  • 15% Using R for Introductory Statistics
    Preț: 50470 lei
  • Computational Actuarial Science with R
    Preț: 39233 lei
  • 9% Analyzing Baseball Data with R, Second Edition
    Preț: 83578 lei
  • 22% Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R
    Preț: 44769 lei
  • 24% Flexible Regression and Smoothing: Using GAMLSS in R
    Preț: 56603 lei
  • 31% The Essentials of Data Science: Knowledge Discovery Using R
    Preț: 84205 lei
  • 18% Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R
    Preț: 106418 lei
  • 20% R and MATLAB
    Preț: 56838 lei
  • 26% Dynamic Documents with R and knitr
    Preț: 101474 lei
  • 20% Programming Graphical User Interfaces in R
    Preț: 105911 lei
  • 25% Using R for Numerical Analysis in Science and Engineering
    Preț: 53155 lei

Preț: 43761 lei

Preț vechi: 47566 lei
-8% Nou

Puncte Express: 656
Preț estimativ în valută:
8377€ • 8616$ • 6950£

Carte disponibilă

Livrare economică 28 ianuarie-11 februarie
Livrare express 11-17 ianuarie pentru 20248 lei

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781032366449
ISBN-10: 1032366443
Pagini: 368
Ilustrații: 76 Tables, black and white; 191 Line drawings, color; 191 Illustrations, color
Dimensiuni: 178 x 254 x 19 mm
Greutate: 5.31 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman &Hall/CRC The R Series

Locul publicării:Boca Raton, United States

Notă biografică

Kyle Walker is an associate professor of geography at Texas Christian University, director of TCU's Center for Urban Studies, and a spatial data science consultant. His research focuses on demographic trends in the United States, demographic data visualization, and software tools for open spatial data science. He is the lead author of a number of R packages including tigris, tidycensus, and mapboxapi.

Cuprins

1. The United States Census and the R programming language 2. An introduction to tidycensus 3. Wrangling Census data with tidyverse tools 4. Exploring US Census data with visualization 5. Census geographic data and applications in R 6. Mapping Census data with R 7. Spatial analysis with US Census data 8. Modeling US Census data 9. Introduction to Census microdata 10. Analyzing Census microdata 11. Other Census and government data resources 12. Working with Census data outside the United States 13. Conclusion

Recenzii

"This book is destined to become the go-to text for people wanting to use R for the analysis of US Census data. I think this is a strong, clear, and comprehensive introduction to the tidycensus package and the tidyverse. I have been using tidycensus and Walker’s tigris package probably since he initially contributed them to the community of R users years ago. Although I use the packages regularly for teaching and research, I still learned quite a bit about their functionality in the chapters I reviewed. Thus, I think it will be a useful text for both novices and experienced R users. I could see this book being used in a variety of social science courses relating to research methodology, data visualization, and cartography."
-Hugh Bartling, Associate Professor, DePaul University
"Walker [...] is clearly familiar with the material and how to use R to the best advantage for mapping and modeling. Indeed, he has written the code for some of the many R packages covered in this title. In this book, he recommends which R package is most suitable for each application and then provides code examples to highlight how to carry out a simple version of each task with the package. Some of the specific scenarios include the creation of data visualizations using ggplot2 or tmap, a discussion of handling margins of error with the American Community Survey data using tidycensus, and historical census data analysis and mapping using ipumsr. The code samples are suitable for users who are quite familiar with R or similar GIS software. This title would function well as a reference or a textbook for graduate-level students or faculty.
-J. Parker, SUNY Cortland in CHOICE, April 2024

Descriere

Census data are widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions. Until recently, projects using US Census data have required proficiency with multiple web interfaces and software platforms to prepare, map, and present data products. This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment.

Chapters in this book cover the following key topics:

• Rapidly acquiring data from the decennial US Census and American Community Survey using R, then analyzing these datasets using tidyverse tools;

• Visualizing US Census data with a wide range of methods including charts in ggplot2 as well as both static and interactive maps;

• Using R as a geographic information system (GIS) to manage, analyze, and model spatial demographic data from the US Census;

• Working with and modeling individual-level microdata from the American Community Survey’s PUMS datasets;

• Applying these tools and workflows to the analysis of historical Census data, other US government datasets, and international Census data from countries like Canada, Brazil, Kenya, and Mexico.

Kyle Walker is an associate professor of geography at Texas Christian University, director of TCU’s Center for Urban Studies, and a spatial data science consultant. His research focuses on demographic trends in the United States, demographic data visualization, and software tools for open spatial data science. He is the lead author of a number of R packages including tigris, tidycensus, and mapboxapi.