title: How to tidy data that is one long string of numbers
body: <p>I'm still very new to data science and R, but my work requires me to work through some very large, very messy data sets with little to no structure to them. I'm currently working with a US Freight text file (Approximately 48,000 characters, 13,341 rows, and 1 column) containing information such as FIPS Codes, Weigh Station Identification Numbers, Truck Weights, etc, and the data is formatted in the following way:</p>
  
  <p><a href="https://i.stack.imgur.com/QtumW.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/QtumW.png" alt="enter image description here"></a>  </p>
  
  <p>The spacing is not acting as the delimiter, nothing really is. </p>
  
  <blockquote>
    <p><strong>S02000101</strong>11171R1T13 00 13 00 2PLP001700000000 8196762351650150252360          9100170Y170000008007Y3000000030        PARKS HIGHWAY AT CHULITNA - NB</p>
  </blockquote>
  
  <p>And to further explain the data itself, the characters are coded to identify specific things such as the S indicating the record type, 02 being the FIPS code for Alaska,000101 being the Station Identification code. </p>
  
  <p>I don't really know where to take this dataset and clean it up by adding new columns to separate the record type, FIPS Code, Station Identification Code, etc. Suggestions?</p>
  
  <p><strong>Column numbers Identify the location of each record in every piece of station data.</strong>
  <a href="https://i.stack.imgur.com/nLWZa.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/nLWZa.png" alt="enter image description here"></a></p>