title: Plotting price distribution
body: <p>I have a dataset with 17 features and 14k observations. </p>
  
  <p>I would like to plot the <code>price</code> distribution to get a better understanding. <code>price</code> feature has a <code>float64</code> data type
  <a href="https://i.stack.imgur.com/EP6gs.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/EP6gs.png" alt="enter image description here"></a></p>
  
  <p>Plotting the price distribution gives me the following</p>
  
  <p>The distribution looks like this <a href="https://i.stack.imgur.com/p7xYC.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/p7xYC.png" alt="enter image description here"></a></p>
  
  <p>Why does this plot looks like this? Something wrong with my data? What's the proper way to solve this?</p>
  
  <p>code:</p>
  
  <pre class="lang-py prettyprint-override"><code>fig, ax = plt.subplots(1, 1, figsize = (9,5))
  data['sale_price'].hist(bins=50, ax=ax)
  plt.xlabel('Price')
  plt.title('Distribution of prices')
  plt.ylabel('Number of houses')
  </code></pre>