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    <title>Strava on Datascience, tools and datasets</title>
    <link>https://scox3.github.io/tags/strava/</link>
    <description>Recent content in Strava on Datascience, tools and datasets</description>
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    <copyright>(c) Vladislav Borkus</copyright>
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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>
      
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      <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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