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    <title>Packages on Datascience, tools and datasets</title>
    <link>https://scox3.github.io/tags/packages/</link>
    <description>Recent content in Packages on Datascience, tools and datasets</description>
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    <language>en</language>
    <copyright>(c) Vladislav Borkus</copyright>
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      <title>Dataset compilation: Telegram and HTML parsing for COVID-19 epidemic data</title>
      <link>https://scox3.github.io/post/2021-03-24-parse-telegram-covid/</link>
      <pubDate>Wed, 24 Mar 2021 10:10:00 +0000</pubDate>
      
      <guid>https://scox3.github.io/post/2021-03-24-parse-telegram-covid/</guid>
      <description>The data about hospitalizations with COVID-19 in Moscow are hard to find in public datasets. However these data are daily published in the specialized Telegram channel, so they can be parsed from there to be used in data analysis.
The first step is to download Telegram chat stream. That can be easily done with the desktop Telegram client so I will skip this step and assume that the necessary data, i.</description>
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      <title>Strava tracks analysis in R</title>
      <link>https://scox3.github.io/post/2021-03-22-gps-velo-en/</link>
      <pubDate>Mon, 22 Mar 2021 10:00:00 +0000</pubDate>
      
      <guid>https://scox3.github.io/post/2021-03-22-gps-velo-en/</guid>
      <description>I like to run and ride a bike. I use Endomondo or Strava to write down GPS-tracks of my trainings and despite their commercial analytic capabilities are quite advanced as long as I know R it is compelling to use it to dissect my training data. Below I will tell how I do that.
Libraries 1. We will need special package XML2 to load data in the XLM formats, the package geosphere to calculate distances on Earth&amp;rsquo;s surface and the set of packages to draw tracks on Google Maps.</description>
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