title: Scaling really large bar compared to other bars in ggplot2 in R
body: <p>I am trying to make a plot in ggplot2 in R with the following code:</p>
  
  <pre><code>    feature
  [1] abs_deg_sum_1       NumAfterEdits_1     N_1                 NumAfterEdits_3    
  [5] TimeSinceLastEdit_2 wt_product_1        NumAfterEdits_2     dwdt_1             
  52 Levels: abs_deg_diff_1 abs_deg_diff_2 abs_deg_diff_3 abs_deg_diff_4 ... Z_4
  
  
  
  relative_importance
  [1] 61.048212 17.235435  1.891542  1.409848  1.356924  1.264824  1.220593  1.184612
  
  
  library(ggplot2)
  df = data.frame(feature, relative_importance)
  c &lt;- ggplot(df, aes(x = feature, y = relative_importance, fill = feature)) + geom_bar(stat = "identity")
  c + coord_flip()
  
  positions &lt;- c("abs_deg_sum_1", "NumAfterEdits_1", "N_1", "NumAfterEdits_3","TimeSinceLastEdit_2", "wt_product_1", "NumAfterEdits_2",
                 "dwdt_1")
  c &lt;- c + scale_x_discrete(limits = positions)
  c + coord_flip()
  </code></pre>
  
  <p>Since the first value in relative_importance is really large compared to all other values, the plot doesn't show much about the other values. I get the following plot:
  <a href="https://i.stack.imgur.com/P6dHT.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/P6dHT.png" alt="enter image description here"></a></p>
  
  <p>How can I change my code to capture more information in my plot? Especially about the smaller values</p>