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    <title>Data Analysis on theplaybook</title>
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      <title>What COVID Did to Jobs in Canada: A Sector-Level Analysis in R</title>
      <link>https://stannomarjones.com/posts/canada-employment-data-analysis-in-r/</link>
      <pubDate>Thu, 02 May 2024 12:18:35 -0400</pubDate>
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      <description>&lt;h2 id=&#34;background&#34;&gt;Background&lt;/h2&gt;
&lt;p&gt;During the early months of COVID-19, job losses were widely reported—but I wanted to understand &lt;em&gt;how those impacts varied across sectors and provinces&lt;/em&gt;, and how quickly recovery actually began.&lt;/p&gt;
&lt;p&gt;Specifically:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Which sectors were hit hardest?&lt;/li&gt;
&lt;li&gt;Did recovery happen uniformly across provinces?&lt;/li&gt;
&lt;li&gt;Were there meaningful differences across demographic or regional patterns?&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;To answer this, I analyzed labor market data across Canadian provinces from January to September 2020 using R.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id=&#34;approach&#34;&gt;Approach&lt;/h2&gt;
&lt;p&gt;I worked with multiple datasets covering employment by province, sector (NAICS categories), and month. The workflow was straightforward but important:&lt;/p&gt;</description>
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