<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>XML on Datascience, tools and datasets</title>
    <link>https://scox3.github.io/tags/xml/</link>
    <description>Recent content in XML on Datascience, tools and datasets</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en</language>
    <copyright>(c) Vladislav Borkus</copyright>
    <lastBuildDate>Wed, 24 Mar 2021 10:10:00 +0000</lastBuildDate><atom:link href="https://scox3.github.io/tags/xml/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <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>
    </item>
    
  </channel>
</rss>
