Green Finance and Environmental Risk

Focuses on data collecting, analyzing and visualization in green finance and environmental risk research and analysis. Main function includes environmental data collecting from official websites such as MEP (Ministry of Environmental Protection of China, < https://www.mee.gov.cn>), water related projects identification and environmental data visualization.


gfer

Travis-CI Build Status CRAN_Status_Badge

Installation

Released version from CRAN, for beginners and normal users:

install.packages("gfer")

Development version from github, for experienced users and those who are interested in investigating:

install.packages("devtools")
# You can ignore the line above, if you have already installed devtools
devtools::install_github("Yuanchao-Xu/gfer")

Official Website is https://yuanchao-xu.github.io/gfer

gfer is an R package, designed for green finance and environmental risk research. Focuses on data collecting and analyzing in green finance and environmental risk research and analysis. Main function includes environmental data collecting from official websites like MEP (Ministry of Environmental Protection of China, https://www.mee.gov.cn), water related projects identification and environmental data visualization.

If you feel gfer is of a little help, please cite it as following:

Yuanchao Xu (2021). gfer: Green Finance and Environmental Risk. R package version 0.1.6. https://CRAN.R-project.org/package=gfer

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("gfer")

0.1.12 by Yuanchao Xu, 5 years ago


https://yuanchao-xu.github.io/gfer/


Report a bug at https://github.com/Yuanchao-Xu/gfer/issues


Browse source code at https://github.com/cran/gfer


Authors: Yuanchao Xu [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports rvest, xml2, jsonlite, httr, stringi, V8, data.table, tidyr, scatterpie, ggplot2, ggrepel, circlize, googlesheets4, gsheet

Suggests knitr, rmarkdown


See at CRAN