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DataViz  

Data Visualisation Using an HTML Page and 'D3.js'
View on CRAN: Click here


Download and install DataViz package within the R console
Install from CRAN:
install.packages("DataViz")

Install from Github:
library("remotes")
install_github("cran/DataViz")

Install by package version:
library("remotes")
install_version("DataViz", "0.2.8")



Attach the package and use:
library("DataViz")
Maintained by
Timothy Bell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-23
Latest Update: 2019-09-16
Description:
Gives access to data visualisation methods that are relevant from the statistician's point of view. Using 'D3''s existing data visualisation tools to empower R language and environment. The throw chart method is a line chart used to illustrate paired data sets (such as before-after, male-female).
How to cite:
Timothy Bell (2019). DataViz: Data Visualisation Using an HTML Page and 'D3.js'. R package version 0.2.8, https://cran.r-project.org/web/packages/DataViz
Previous versions and publish date:
0.2.5 (2019-05-23 12:40), 0.2.6 (2019-05-23 18:30), 0.2.7 (2019-07-05 12:20), 0.2 (2019-04-25 10:30)
Other packages that cited DataViz R package
View DataViz citation profile
Other R packages that DataViz depends, imports, suggests or enhances
Functions, R codes and Examples using the DataViz R package
Some associated functions: DataViz-package . forcelayout . oldestpeople . quad . r_forcelayout . r_throwchart . rcpp_forcelayout . rcpp_throwchart . throwchart . weekschedule . workweek . 
Some associated R codes: RcppExports.R . forcelayout.R . r_forcelayout.R . r_throwchart.R . throwchart.R .  Full DataViz package functions and examples
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