Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.

Chapter 9: Reading In and Writing Out Text Data

Chapter 9: Reading In and Writing Out Text Data

pp. 261-326

Authors

, University of Washington, Bothell, , City College, City University of New York, , Envestnet Tamarac, Washington, , University of Washington, Bothell, , Biota Technology Inc., California
Resources available Unlock the full potential of this textbook with additional resources. There are free resources and Instructor restricted resources available for this textbook. Explore resources
  • Add bookmark
  • Cite
  • Share

Summary

In the previous chapters, the lists and arrays of data we have looked at have been pretty small. Partly, this is because it is easier to understand small datasets, which helps us when we are learning a new tool. However, what makes using a programming language (as opposed to Excel) a better tool to analyze data is the ease with which a program written in a programming language can be scaled up to handle a large dataset. In Excel, it is not so easy to go from, say, 500 rows of data to 500 million rows of data.

About the book

Access options

Review the options below to login to check your access.

Purchase options

eTextbook
US$74.00
Paperback
US$74.00

Have an access code?

To redeem an access code, please log in with your personal login.

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers