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    <title>Data science on Manuel Rademaker - Personal Website</title>
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      <title>AfD 2017 election results, incidence rates, and vaccinations</title>
      <link>https://www.manuelrademaker.com/blog/2021-08-31_election_results_and_covid_data/</link>
      <pubDate>Tue, 31 Aug 2021 00:00:00 +0000</pubDate>
      
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      <description>Recently, I stumbled across this graphic from great KATAPULT magazin:
The left map shows the final 2017 parliamentary election (second vote) results (Zweitstimmenergebnis Bundestagswahl 2017) by election region (Wahlkreis) for the German party “Alternative für Deutschland” (AfD). On the right, the 7-day COVID-19 incidence per 100,000 people is shown by administrative region (Landkreis) as of 18.12.2020. Note that Wahlkreise and Landkreise are generally similar but do differ on many occasions.</description>
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      <title>What is data science to me?</title>
      <link>https://www.manuelrademaker.com/blog/2021-05-04_data_science_to_me/</link>
      <pubDate>Tue, 04 May 2021 00:00:00 +0000</pubDate>
      
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      <description>Data Science, Machine Learning, Artificial Intelligence (AI), and Big Data are probably the four most common buzzwords (or better buzzterms) you hear when people talk about digitalization, automation, data-driven decision making or industry 4.0. However, different professional backgrounds and hierarchy levels tend to have different ideas and expectations regarding the meaning of these terms. In this blog post, I want to give my personal view on one of these terms, namely the term data science and its professional equivalent the data scientist.</description>
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