R Dataset / Package Ecdat / HHSCyberSecurityBreaches
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| dataset-77286.csv | 311.39 KB |
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On this Picostat.com statistics page, you will find information about the HHSCyberSecurityBreaches data set which pertains to Cybersecurity breaches reported to the US Department of Health and Human Services . The HHSCyberSecurityBreaches data set is found in the Ecdat R package. Try to load the HHSCyberSecurityBreaches data set in R by issuing the following command at the console data("HHSCyberSecurityBreaches"). This may load the data into a variable called HHSCyberSecurityBreaches. If R says the HHSCyberSecurityBreaches data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data with library("Ecdat") followed by data("HHSCyberSecurityBreaches"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing HHSCyberSecurityBreaches at the command-line which should display the entire dataset. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the HHSCyberSecurityBreaches R data set. The size of this file is about 318,868 bytes. Cybersecurity breaches reported to the US Department of Health and Human ServicesDescriptionSince October 2009 organizations in the U.S. that store data
on human health are required to report any incident that
compromises the confidentiality of 500 or more patients
/ human subjects (45 C.F.R. 164.408) These reports are publicly available. Usagedata(HHSCyberSecurityBreaches) FormatA dataframe containing 1151 observations of 9 variables:
DetailsThis contains the breach report data downloaded 2015-02-26 from the US Health and Human Services. This catalogues reports starting 2009-10-21. Earlier downloads included a few breaches prior to 2009 when the law was enacted (inconsistently reported), and a date for breach occurrence in addition to the date of the report. The following corrections were made to the file: * UCLA Health System, breach date 11/4/2011, had cover entity added as "Healthcare Provider" * Wyoming Department of Health, breach date 3/2/2010 had breach type changed to "Unauthorized Access / Disclosure" * Computer Program and Systems, Inc. (CPSI), breach date 3/30/2010 had breach type changed to "Unauthorized Access / Disclosure" * Aetna, breach date 7/27/2010 had breach type changed to "Improper Disposal' (see explanation below), breach date 5/24/2010 name changed to City of Charlotte, NC (Health Plan) and state changed to NC * Mercer, breach date 7/30/2010 state changed to MI * Not applicable, breach date 11/2/2011 name changed to Northridge Hospital Medical Center and state changed to CA * na, breach date 4/4/2011 name changed to Brian J Daniels DDS, Paul R Daniels DDS and state changed to AZ * NA, breach date 5/27/2011 name changed to and Spartanburg Regional Healthcare System state changed to SC * NA, breach date 7/4/2011 name changed to Yanz Dental Corporation and state changed to CA SourceSee Also
Examples
##
## 1. mean(Individuals.Affected)
##
mean(HHSCyberSecurityBreaches$Individuals.Affected)
##
## 2. Basic Breach Types
##
tb <- as.character(HHSCyberSecurityBreaches$Type.of.Breach)
tb. <- strsplit(tb, ', ')
table(unlist(tb.))
# 8 levels, but two are the same apart from
# a trailing blank.
##
## 3. Location.of.Breached.Information
##
lb <- as.character(HHSCyberSecurityBreaches[[
'Location.of.Breached.Information']])
table(lb)
lb. <- strsplit(lb, ', ')
table(unlist(lb.))
# 8 levels
table(sapply(lb., length))
# 1 2 3 4 5 6 7 8
#1007 119 13 8 1 1 1 1
# all 8 levels together observed once
# There are 256 = 2^8 possible combinations
# of which 47 actually occur in these data.
-- Dataset imported from https://www.r-project.org. |
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