Bespoke data visualization using R and ggplot2

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Bespoke data visualization using R and ggplot2. / Gould, Sandy J. J. .

CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2019. C22 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Gould, SJJ 2019, Bespoke data visualization using R and ggplot2. in CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., C22 , Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery (ACM), ACM CHI Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290607.3298810

APA

Gould, S. J. J. (2019). Bespoke data visualization using R and ggplot2. In CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [C22 ] (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery (ACM). https://doi.org/10.1145/3290607.3298810

Vancouver

Gould SJJ. Bespoke data visualization using R and ggplot2. In CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2019. C22 . (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/3290607.3298810

Author

Gould, Sandy J. J. . / Bespoke data visualization using R and ggplot2. CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2019. (Conference on Human Factors in Computing Systems - Proceedings).

Bibtex

@inproceedings{33ce28733fc0454a9f229183a2b35aeb,
title = "Bespoke data visualization using R and ggplot2",
abstract = "Being able to visualize data in consistent high-quality ways is a useful skill for HCI researchers and practitioners. In this course, attendees will learn how to produce high quality plots and visualizations using the ggplot2 library for the R statistical computing language. There are no prerequisites and attendees will leave with scripts to get them started as well as foundational knowledge of free open-source tools that they can build on to produce complex, even interactive, visualizations.",
keywords = "R, ggplot2, Statistical computing, Visualization",
author = "Gould, {Sandy J. J.}",
year = "2019",
month = may,
day = "2",
doi = "10.1145/3290607.3298810",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery (ACM)",
booktitle = "CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems",
address = "United States",
note = "ACM CHI Conference on Human Factors in Computing Systems (CHI 2019) ; Conference date: 04-05-2019 Through 09-05-2019",

}

RIS

TY - GEN

T1 - Bespoke data visualization using R and ggplot2

AU - Gould, Sandy J. J.

PY - 2019/5/2

Y1 - 2019/5/2

N2 - Being able to visualize data in consistent high-quality ways is a useful skill for HCI researchers and practitioners. In this course, attendees will learn how to produce high quality plots and visualizations using the ggplot2 library for the R statistical computing language. There are no prerequisites and attendees will leave with scripts to get them started as well as foundational knowledge of free open-source tools that they can build on to produce complex, even interactive, visualizations.

AB - Being able to visualize data in consistent high-quality ways is a useful skill for HCI researchers and practitioners. In this course, attendees will learn how to produce high quality plots and visualizations using the ggplot2 library for the R statistical computing language. There are no prerequisites and attendees will leave with scripts to get them started as well as foundational knowledge of free open-source tools that they can build on to produce complex, even interactive, visualizations.

KW - R

KW - ggplot2

KW - Statistical computing

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=85067313894&partnerID=8YFLogxK

U2 - 10.1145/3290607.3298810

DO - 10.1145/3290607.3298810

M3 - Conference contribution

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery (ACM)

T2 - ACM CHI Conference on Human Factors in Computing Systems (CHI 2019)

Y2 - 4 May 2019 through 9 May 2019

ER -