==================================
 Data Frames and their Management
==================================

This chapter describes how a typical data set used in multivariate analysis
is composed - i.e. as a rectangular arrangement of variables and
observations.  The chapter further describes ways to manipulate data *within*
data frames and how data frames can be restricted, combined, and
reshaped. The chapter also discusses how data in various formats can be
imported. Such data formats include CSV, TAB-delimited, and fixed-column files.

Below is the supporting material for the
various sections of the chapter.

The Structure of Data Frames
============================

.. nbgallery::

  03-data-frames/structure-of-data-frames.ipynb

        


Accessing and Changing Variables in Data Frames
===============================================

.. nbgallery::

  03-data-frames/accessing-and-changing-variables.ipynb


Manipulating Data Frames
========================

.. nbgallery::

  03-data-frames/subsetting.ipynb
  03-data-frames/merging-BES.ipynb
  03-data-frames/merging-artificial.ipynb
  03-data-frames/appending.ipynb
  03-data-frames/reshaping-artificial.ipynb
  03-data-frames/reshaping-BES.ipynb
  03-data-frames/sorting.ipynb




Aggregating Data Frames
=======================

.. nbgallery::

   03-data-frames/aggregating.ipynb

        

Groupwise computations within Data Frames
=========================================


.. nbgallery::

   03-data-frames/groupwise-computations.ipynb

        

Importing Data into Data Frames
===============================

.. nbgallery::
   
   03-data-frames/importing-data.ipynb