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ClimActor

Beta Version 0.0.1

ClimActor is an R package created by the Data-Driven Envirolab team for the cleaning and preparation of subnational climate actors' names for further analysis. As more non-state (i.e., cities, regions, and companies) actors commit to climate action, new initiatives and databases recording such commitments have also become more commonplace. Many actors commit to multiple initiatives and appear in more than one database, yet appear across databases with slightly different names. This discrepancy makes data cleaning and wrangling more difficult than it should be and can result in over-counting of actor’s climate commitments if not dealt with appropriately.

Installation

The ClimActor package can be installed from github using the install_github function from devtools.

# Install devtools as necessary
# install.packages("devtools")

devtools::install_github("datadrivenenvirolab/ClimActor", build_vignettes = T)
library(ClimActor)

It is recommended to build the package vignette during package installation.

Use

The vignette presents a recommended workflow for using the ClimActor package, and covers the usage and explanation of the different key functions.

browseVignettes("ClimActor")

Frequently Asked Questions

  • I got an error while trying to install the package

It is likely that the error is due to a missing package which is required for ClimActor but which you have not installed (especially if you are trying to install the vignette as well). Try checking the DESCRIPTION file for a list of required packages.

  • Do I have to follow the order of functions described in the vignette/flow diagram?

It is recommended that you follow of the order of the vignette/flow diagram as certain functions require outputs that would be created from previous functions.

  • Do I have to run all the functions within the package to clean my dataset?

No - the functions are meant to be comprehensive and cover all key aspects of data cleaning while working with non-state climate actors. However, you may find that your dataset have existing data which requires no cleaning, and thus will not require certain functions.

Bug Reports / Requests

Please file any bugs or requests for the package here.

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Data Cleaning Workflow for Non-State Climate Actors

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