项目作者： underthecurve

项目描述：
"Basic data viz" & "Advancing with data viz in R using ggplot2" for Boston University's "Data+Narrative" workshop

高级语言： R

项目主页： http://www.bu.edu/com/data-narrative/

项目地址: git://github.com/underthecurve/r-dataviz-ggplot2.git

创建时间： 2017-06-08T12:40:53Z
项目社区：https://github.com/underthecurve/r-dataviz-ggplot2
开源协议：
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Data visualization in R: base R and `ggplot2`

Data + Code for “Basic data visualization in R” and “Advancing with data visualization in R using ggplot2“ at the Data+Narrative storytelling workshops at Boston University on Thursday, June 7th 2018.

Note the “Advancing with data visualization in R using ggplot2“ workshop is ~90% the same as a workshop on the same topic I gave at BU last year.

Equivalent materials for “Tricks for cleaning your data in R” available, from 2017, are here.

Links to install R and RStudio

R: website for the R software
RStudio: website for RStudio, a powerful graphical user interface for R

Files included

Annotated code and step-by step instructions for the workshop

R-basic-dataviz.md: Markdown file (for viewing on the web)
R-basic-dataviz.pdf: PDF file (for printing out)
R-advancing-with-dataviz.md: Markdown file (for viewing on the web)
R-advancing-with-dataviz.pdf: PDF file (for printing out)

R code

The R code for each class, which can be run in RStudio:

Underlying data needed to run the R code

boston_weather.csv: data on weather in Boston on June 7th (the day of this workshop) from 2007 to 2017, from Weather Underground. See processing-weather-data.R for more details.
life.csv: data on life expectancy for each country from 2000 to 2015, from the World Health Organization

How to follow this workshop

You can clone or download this repository by clicking on the green button above, “Clone or download”
Open the .R file in RStudio
Follow along by reading the .md file online or printing the .pdf file out by clicking the Github links above

Additional resources

Visual Vocabulary by the Financial Times
The Data Visualisation Catalogue by Severino Ribecca
On Graphonyms: the Importance of Chart Type Names by Maarten Lambrechts
“A Simple Introduction to the Graphing Philosophy of ggplot2” by Tom Hopper
ggplot2 Cheat Sheet by RStudio
ggplot2 Documentation by Hadley Wickham & Winston Chang
Resources for Doing Data Journalism by Timo Grossenbacher
Shapes and Line Types in R by Winston Chang

Questions / Feedback?

ychristinezhang at gmail dot com

or on Twitter

@christinezhang

This work is licensed under a Creative Commons Attribution 4.0 International License.

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