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    <title>Package on E. Visel</title>
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      <title>Querying across files with Apache Drill</title>
      <link>/blog/querying-across-files-with-apache-drill/</link>
      <pubDate>Mon, 06 Apr 2020 00:00:00 +0000</pubDate>
      
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      <description>When I first used Apache Drill several years ago, it was one of those “holy crap this is amazing” moments. Moreover, every time since that I’ve thought “Oh, Drill could be really useful here” and spun it up, that thought has been quickly followed by “holy crap this is amazing” all over again. It’s just delightful. I keep thinking I should try out alternatives like Presto (which has two branches now) or Apache Impala, but I always start by spinning up Drill for comparison and never quite make it to anything else.</description>
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      <title>passport</title>
      <link>/package/passport/</link>
      <pubDate>Wed, 21 Mar 2018 00:00:00 +0000</pubDate>
      
      <guid>/package/passport/</guid>
      <description>For further information including complete documentation, see passport’s full website.
passport    
passport smooths the process of working with country names and codes via powerful parsing, standardization, and conversion utilities arranged in a simple, consistent API. Country name formats include multiple sources including the Unicode CLDR common-sense standardizations in hundreds of languages.
Installation Install from CRAN with
install.packages(&amp;quot;passport&amp;quot;) or the development version from GitHub with
# install.packages(&amp;quot;devtools&amp;quot;) devtools::install_github(&amp;quot;alistaire47/passport&amp;quot;)  Travel smoothly between country name and code formats Working with country data can be frustrating.</description>
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      <title>pipecleaner</title>
      <link>/package/pipecleaner/</link>
      <pubDate>Wed, 21 Mar 2018 00:00:00 +0000</pubDate>
      
      <guid>/package/pipecleaner/</guid>
      <description>For further information including complete documentation, see pipecleaner’s full website.
pipecleaner     
pipecleaner is a utility R package to debug pipelines using the magrittr %&amp;gt;% pipe. Its debug_pipeline launches the debugging browser on the input pipeline in a form that allows the user to step through the successive calls of the pipeline, examining the output of each successive element.
Installation pipecleaner is not currently on CRAN, but can be installed with</description>
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      <title>read.so</title>
      <link>/package/read-so/</link>
      <pubDate>Wed, 21 Mar 2018 00:00:00 +0000</pubDate>
      
      <guid>/package/read-so/</guid>
      <description>For further information including complete documentation, see read.so’s full website.
read.so    
Installation read.so is not on CRAN, but you can install it with
# install.packages(&amp;quot;devtools&amp;quot;) devtools::install_github(&amp;quot;alistaire47/read.so&amp;quot;)  Read Tables from Stack Overflow Questions into R Sometimes you see a really interesting question on Stack Overflow, but the asker only presents the data as a presentation-style table instead of as runnable R code. Fear no more! read.so will read even heinous tables into a data frame in a trice.</description>
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