title: How to convert String Series to Datetime Series in Julia
body: <p>I have a csv file which looks like below,</p>
  <pre><code>20×2 DataFrame
  │ Row │ Id    │ Date       │
  │     │ Int64 │ String     │
  ├─────┼───────┼────────────┤
  │ 1   │ 1     │ 01-01-2010 │
  │ 2   │ 2     │ 02-01-2010 │
  │ 3   │ 3     │ 03-01-2010 │
  │ 4   │ 4     │ 04-01-2010 │
  │ 5   │ 5     │ 05-01-2010 │
  │ 6   │ 6     │ 06-01-2010 │
  │ 7   │ 7     │ 07-01-2010 │
  │ 8   │ 8     │ 08-01-2010 │
  │ 9   │ 9     │ 09-01-2010 │
  │ 10  │ 10    │ 10-01-2010 │
  │ 11  │ 11    │ 11-01-2010 │
  │ 12  │ 12    │ 12-01-2010 │
  │ 13  │ 13    │ 13-01-2010 │
  │ 14  │ 14    │ 14-01-2010 │
  │ 15  │ 15    │ 15-01-2010 │
  │ 16  │ 16    │ 16-01-2010 │
  │ 17  │ 17    │ 17-01-2010 │
  │ 18  │ 18    │ 18-01-2010 │
  │ 19  │ 19    │ 19-01-2010 │
  │ 20  │ 20    │ 20-01-2010 │
  </code></pre>
  <p>after reading the csv file <code>date</code> columns is in <code>String</code> type. How to externally convert a string series into Datetime series. In Julia Data Frame <a href="https://juliadata.github.io/DataFrames.jl/stable/man/getting_started/" rel="noreferrer">docs</a> doesn't talk Anything about TimeSeries.
  How to externally convert a series or vector into Datetime format?
  Is there anyway I can mention timeseries columns while reading a CSV File?</p>