Added 2011 voter turnout to riding info page.

riding.php

@@ -16,6 +16,7 @@
     $projected_winner = strtoupper($row['projected_winner']);
     $strategic_vote = strtoupper($row['strategic_vote']);
     $confidence = intval(round(100 * $row['confidence']));
+    $turnout_2011 = intval(round(100 * $row['turnout_2011']));
     $data['con'] = intval(round(100 * $row['con']));
     $data['lib'] = intval(round(100 * $row['lib']));
     $data['ndp'] = intval(round(100 * $row['ndp']));
@@ -54,6 +55,9 @@
   <span class="<?php echo $strategic_vote; ?>"
         style="font-weight:bold"><?php echo $strategic_vote; ?></span>
 </p>
+<p>
+  Voter turnout in the last election &mdash; <?php echo $turnout_2011  ?>%
+</p>
 <p>If the election were held today, this is the projected popular vote in
   the riding of <?php echo $riding_name; ?>, based on the latest polls.</p>
 <?php

riding_forecast.py

@@ -196,20 +196,27 @@ def KeyWithHighestValue(d, forbidden_keys=[]):
         population_transferred = float(
             row['Population transferred to 2013 FED'])
         population_percent = population_transferred / population_2013
+        all_votes = row['All votes']
+        electors = row['Electors on lists']
         if new_riding_number not in new_ridings:
             new_ridings[new_riding_number] = {
                 'name': new_riding_name,
                 'number': new_riding_number,
                 'province': province,
-                'feeders': {}}
+                'feeders': {},
+                'total_votes_2011': 0,
+                'total_electors_2011': 0,
+                'population': int(population_2013)}
         r = new_ridings[new_riding_number]
         r['feeders'][old_riding_number] = population_percent
+        r['total_votes_2011'] += int(all_votes)
+        r['total_electors_2011'] += int(electors)
 
 # Output final stats for each riding.
 party_order = ['CON', 'NDP', 'LIB', 'GRN', 'BQ']
 print ('province,name,number,' +
        ','.join(p.lower() for p in party_order) +
-       ',projected_winner,strategic_vote,confidence')
+       ',projected_winner,strategic_vote,confidence,turnout_2011')
 for r in new_ridings.values():
     projections = {}
     for feeder_number, weight in r['feeders'].items():
@@ -225,6 +232,7 @@ def KeyWithHighestValue(d, forbidden_keys=[]):
     strategic_vote = KeyWithHighestValue(projections, ['CON'])
     gap = projections[projected_winner] - projections[runner_up]
     confidence = norm.cdf(gap / 0.25)
+    turnout = float(r['total_votes_2011']) / r['total_electors_2011']
     row = ([r['province'], r['name'], r['number']] + ordered_projections +
-           [projected_winner, strategic_vote, confidence])
+           [projected_winner, strategic_vote, confidence, turnout])
     print ','.join([str(x) for x in row])