title: reading a dataset in pandas
body: <p>I am trying to do a pretty simple task, but unable to understand pandas behavior.
  I am reading a UCI dataset in python using pandas:</p>
  <pre><code>data = pd.read_csv('UCI/breast-cancer-wisconsin.data', header=None)
  </code></pre>
  <p>Printing out the first row</p>
  <pre><code>data.values[0]
  # array([1000025, 5, 1, 1, 1, 2, '1', 3, 1, 1, 2], dtype=object)
  </code></pre>
  <p>Why does it read the 7th column as string?
  I tried the following:</p>
  <pre><code>print(pd.api.types.infer_dtype(data[6])) #returns string
  </code></pre>
  <p>It is a pretty simple dataset, directly downloaded form <a href="https://archive.ics.uci.edu/ml//machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data" rel="nofollow noreferrer">this link</a>, and all values appear integers to me. Then why is the 6th column interpreted as a string?</p>