<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/minor-update-to-hibpwned/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://itsalocke.com/minor-update-hibpwned/"> R – Locke Data</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div></div>
<p>A new version of <a target="_blank" rel="nofollow" href="https://cran.r-project.org/package=HIBPwned"><code>HIBPwned</code></a> has been accepted onto CRAN. This occurred yesterday so it could still be filtering into some mirrors.</p>
<p>HIBPwned is an R wrapper for the useful website <a target="_blank" rel="nofollow" href="https://haveibeenpwned.com/">HaveIBeenPwned</a> and if you don’t already utilise the package or the site – you should. HaveIBeenPwned tells you when your details are included in data breaches. This is vital information to get quickly as it means you can sooner protect yourself from people trying to use the breach information to break into your accounts.</p>
<p>This release is very minor. We previously had to put a rate limiting process on the API requests, when rate limiting was announced. It wasn’t done in a particularly elegant way, however. Since then, the package <a target="_blank" rel="nofollow" href="https://cran.r-project.org/package=ratelimitr"><code>ratelimitr</code></a> has come along and it gives us a sophisticated way of rate limiting the requests.</p>
<p>Get the package from CRAN with <code>install.packages(&quot;HIBPwned&quot;)</code> or install the GitHub version with <code>devtools::install_github(&quot;stephlocke/HIBPwned&quot;)</code>.</p>
<p>The post <a target="_blank" rel="nofollow" href="http://itsalocke.com/minor-update-hibpwned/">Minor update to HIBPwned</a> appeared first on <a target="_blank" rel="nofollow" href="http://itsalocke.com/">Locke Data</a>. Locke Data are a data science consultancy aimed at helping organisations get ready and get started with data science.</p>
<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://itsalocke.com/minor-update-hibpwned/"> R – Locke Data</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/search/data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/search/map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/search/animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/search/RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/search/sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/search/SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/search/eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/search/git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/search/hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/search/PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/search/time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/search/trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/5ptAlBuB3XE"></a></div>