acarsGoogle: Autonomous Vehicle Patent Data from Google Patents

In kamilien1/patentR: A Toolbox for Analyzing Patent Data

Description

An example data set of autonomous vehicle IP from major assignees.

Usage

acarsGoogle

Format

A data frame with 316 observations on 9 variables.

docNum

A published document number including the kind code, publication number, and kind code for the patent document.

title

The title of the invention.

assignee

The owner of the document.

inventors

The name(s) of the inventor(s), separated by commas.

priorityDate

The earliest priority date on the application.

dateFiled

Date the document was filed. They calll it filing/creation date.

pubDate

Date document became publicly available.

grantDate

Date the application became a grant. NA if there is no associated grant.

googleURL

The link to the Google Patents page for the document.

Details

The first row in the raw CSV export contains the search URL and is skipped.

The data search was performd on Saturday, March 18, 2017 from patents.google.com, and the exact search: Google Patents Search For all countries available on Google.

You process the raw data with the following commands:

temp <- system.file("extdata", "google_autonomous_search.csv", package = "patentr")

# from the source package you can navigate to

temp <- read.csv("inst/extdata/google_autonomous_search.csv", skip = 1, stringsAsFactors = FALSE)

names(temp) <- googleNames

temp <- data.frame(lapply(temp, function(x){iconv(x,to="ASCII")}),stringsAsFactors = FALSE)

dateFields <- c("priorityDate","dateFiled","pubDate","grantDate")

temp[dateFields] <- as.data.frame(lapply(temp[dateFields], as.Date, format="%m/%d/%y"))

See Also

https://patents.google.com/

acars provides a similar search from Sumobrain. acarsLens provides a simialr search from Lens.org.

kamilien1/patentR documentation built on May 20, 2019, 7:19 a.m.