title: pulling and using current data in the dataset
body: <pre><code> df &lt;- read.csv ('https://raw.githubusercontent.com/ulklc/covid19- 
    timeseries/master/countryReport/raw/rawReport.csv',
              stringsAsFactors = FALSE)
  
    yesterday &lt;- function() Sys.Date() - 1L
    yesterday()
   # [1] "if it doesn't work yesterday()-1  do it"
  </code></pre>
  
  <p>I created the function of yesterday.</p>
  
  <p>There are region, death and recovered sections in the df dataset.</p>
  
  <p>The thing he wants your help is this.</p>
  
  <p>To find the country that reported the most deaths in the continent, compared to yesterday in the DF data set</p>
  
  <p>According to yesterday in the DF data set, find the country that reported the most recovered on the continent.</p>
  
  <p>so what I want as output.</p>
  
  <p>Date            countryName           region         death             recovered  </p>
  
  <p>2020/05/05   İtaly(sample)      Europe       <strong>600</strong>(sample)     50</p>
  
  <p>2020/05/05   Spain(sample)      Europe       200(sample)     <strong>580</strong></p>
  
  <p>2020/05/05   China(sample)      Asia          <strong>1200</strong>           80</p>
  
  <p>2020/05/05    Japan(sample)     Asia           400            <strong>780</strong></p>
  
  <p>..</p>
  
  <p>..</p>
  
  <p>..</p>
  
  <p>countries and data are given as examples.</p>
  
  <p>one line of death.
  a row recovered.</p>
  
  <p>required for each region.</p>
  
  <p>There are 5 regions. It becomes 10 lines.</p>