title: Dictionary of lists to dataframe
body: <p>I have a dictionary with each key holding a list of float values. These lists are not of same size. </p>
  
  <p>I'd like to convert this dictionary to a pandas dataframe so that I can perform some analysis functions on the data easily such as (min, max, average, standard deviation, more).</p>
  
  <p>My dictionary looks like this:</p>
  
  <pre><code>{
      'key1': [10, 100.1, 0.98, 1.2],
      'key2': [72.5],
      'key3': [1, 5.2, 71.2, 9, 10.11, 12.21, 65, 7]
  }
  </code></pre>
  
  <p>What is the best way to get this into a dataframe so that I can utilize <a href="https://chrisalbon.com/python/pandas_dataframe_descriptive_stats.html" rel="noreferrer">basic functions</a> like <code>sum</code>, <code>mean</code>, <code>describe</code>, <code>std</code>? </p>
  
  <p>The examples I find (like the link above), all assume each of the keys have the same number of values in the list.</p>