title: Looking for a way to plot the following correlation data using ggplot
body: <p>I'm trying to visualize the following data and would appreciate some advice. Basically I ran a bunch of correlations and want to visualize if variable A or variable B is more strongly correlated with Height, Weight, Volume, etc.</p>
  <pre><code>variable &lt;- c('A','B','A','B','A','B')
  outcome &lt;- c('Height','Height','Weight', 'Weight', 'Volume', 'Volume')
  correlation_coeff &lt;- c(0.76, 0.65, 0.77,0.56,0.91,-0.34)
  p_value&lt;- c(0.04,0.03,0.01,0.02,0.001,0.09)
  
  data &lt;- data.frame(variable, outcome, correlation_coeff, p_value)
  </code></pre>
  <p>Since this is not a matrix of correlation coefficients (I never looked at the correlation between Height and Weight, for example) I'm not really sure what to do. Normally I just use the ggcorrplot() function but in this case it's obviously not going to work. Any ideas?</p>