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repairData

Data is from the website of the Open Repair Alliance. The structure of the data follows the technical documentation of the Open Repair Data Standard (ORDS Version 0.21).

Besides the complete dataset repairs with 48,669 entries, I have also added four compiled datasets on batteries, mobiles, printers, and tablets with additional information about fault types.

Aims of `repairData`

The goal of the repairData package is

to create a joint approach to documenting successes and challenges with post-warranty repairs
to promote it as a standard available to other community repair networks and in the future to commercial repairers and others collecting repair data
to enable coalition members and others to use the data from our joint work to produce insights, intending to demand more repairable products, improved support, and access to better repair services
to explore jointly additional information we can all collect to help make a stronger case for increased repairability. (Slightly changed from Open Repair Data Standard.)

Eventually, these datasets should help to extend the reach to commercial repairers and others collecting repair data. This data will be used to tell stories about the positive impacts of repair and to inform advocacy. Together, we can make a stronger case for more easily repairable devices.

Installation

You can install the released version of repairData from CRAN with:

install.packages("repairData")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("petzi53/repairData")

Example

After loaded the package you have access to all datasets with the data() function.

library(repairData)
# simple example code
data(repairs)
# or all together
data(repairs, batteries, printers, mobiles, tablets)

Data specifications

The following table stems from the documentation of the Open Repair Data Standard (ORDS Version 0.21). (In the last column, I report my changes to the variable type of some columns according to the ORDS Type description.)

Title	Field name	Type	R Data Type
ID	id	Unique identifier from the partner organisation. Does not have to be unique across all partner data.	character
Partner category	partner_product_category	Option from partner codelist.	character
Product category	product_category	Option from ORDS product category codelist.	factor
Brand	brand	Free text.	character
Year of manufacture	year_of_manufacture	Year. YYYY.	character*
Problem	problem	Free text. Personal data should be removed, e.g. email addresses.	character
Repair status	repair_status	Option from ORDS repair status codelist.	factor
Repair barrier	repair_barrier_if_end_of_life	Option from ORDS repair barrier codelist. Optional. Only relevant where repair_status = “End of life”.	factor
Group identifier	group_identifier	String. Unique. A unique identifier across all partners that can identify the group responsible for the repair.	factor
Event date	event_date	Date. YYYY-MM-DD format. The date of the repair event that the repair took place at.	Date
Data provider	data_provider	Option from ORDS codelist. Name of partner organisation.	factor
Country	country	String. 3 letter ISO code, e.g. “GBR”.	factor
Record date	record_date	Date. YYYY-MM-DD format. The date that the record was last updated.	Date

Because of many NA’s written as “????” I chose to import this column as “character”.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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repairData

Aims of repairData

Installation

Example

Data specifications

Aims of `repairData`