title: Ploting seaborn subplots histograms with different row values
body: <p>Thanks everyone for the advice! editing my original question here:</p>
  <p>Say that I have a dataset and my column 'operator has 4 different values. Then, I want to create 4 different scatterplots visualizing the distribution of each of those values (one scatterplot for AB, other for BC and so on):</p>
  <pre><code>data = {'Operator':['AB','BC','DE','FG','AB','AB','DE','BC','BC','BC','BC'], 
  'delay': [22000,25000,27000,35000, 4567, 1893,15373,987,354,1,15]}
  
  data = pd.DataFrame(data)
  </code></pre>
  <p>I've trying to run a for loop based on some examples online because the idea is to iterate through the column. But I am not able to make it work, an example of what I did:</p>
  <pre><code>op = data[['Operator', 'delay']]
  
  plt.figure(figsize=(15,10))
  for i in op: 
     plt.subplot(2,2,i[0]+1)
     sns.histplot(i[1], hue = 'Operator', data = op)
  </code></pre>
  <p>Thanks for your help! please let me know if this is not clear.</p>