title: How to construct a single graph for two completely different variables in terms of scale?
body: <p>I have this data set</p>
  <p><a href="https://i.stack.imgur.com/oYkWS.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/oYkWS.png" alt="data of Staff strength and total Applications received " /></a></p>
  <pre><code>df &lt;- data.frame(year = seq(1970, 2015, by = 5),
                   staff = c(219, 231, 259, 352, 448, 427, 556, 555, 602, 622),
                   applications = c(5820, 7107, 6135, 16119, 19381, 36611, 54962, 45759, 40358, 458582))
  </code></pre>
  <p>I want to perform the exploratory analysis and want to compare whether the staff strength is growing according to the applications received. I plotted a line graph using excel :
  <a href="https://i.stack.imgur.com/bZHL6.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/bZHL6.png" alt="enter image description here" /></a></p>
  <p>which isn't very meaningful.
  I've also taken the log of both variables which almost got the desired result but i wonder if the graphs with log are less explainable to non-mathematicians. Since i want to use these kind of graphs in a presentation to my managerial staff who don't know much of statistics or mathematics.
  My question is how to tackle this situation in order to draw a meaningful graph.
  I've a gut feeling that R might have a better solution(that is why i asked here ) than Excel but the problem is 'How'?</p>
  <p>Any help will be highly appreciated.</p>