title: How do I make my create a dataframe with multiple categorical variables and interaction effects, grouped by ID?
body: <p>I want to set up my dataframe so that it groups by my ID column, but have many columns for my categorical variables and interaction effects. </p>
  
  <p>So this is how the original table looks like. </p>
  
  <pre><code>+----+----------------+---------+
  | ID |      Page      |  Click  |
  +----+----------------+---------+
  |  1 | homepage       | logo    |
  |  1 | homepage       | search  |
  |  1 | category page  | logo    |
  |  1 | category page  | search  |
  |  2 | homepage       | logo    |
  |  2 | homepage       | search  |
  | .. |                |         | 
  +----+----------------+---------+
  </code></pre>
  
  <p>I would like to make it into a table like this. </p>
  
  <pre><code>+----+----------------+--------------------+------------+---------------+-----------------+----------------------+---------------+-------------------+
  | ID | Page_homepage  | Page_categorypage  | Click_logo | Click_search  | homepage:search | categorypage:search  | homepage:logo | categorypage:logo |
  +----+----------------+--------------------+------------+---------------+-----------------+----------------------+---------------+-------------------+
  |  1 |              1 |                  1 |          1 |             1 |               1 |                    1 |             1 |                 1 |
  |  2 |              1 |                  0 |          1 |             1 |               1 |                    0 |             1 |                 0 |
  +----+----------------+--------------------+------------+---------------+-----------------+----------------------+---------------+-------------------+
  </code></pre>
  
  <p>My objective is to be able to create features with interaction effects to perform a logistic regression. There are outputs associated with each ID, so it's important for me to group the results by ID. </p>
  
  <p>What is the best and simplest way to do this? I don't want to manually do it for all the possible variations. I'm indifferent between using R/Python/SQL to perform this.</p>