diff --git a/app/controllers/home_controller.rb b/app/controllers/home_controller.rb
index 4ea372bbe..859d2e361 100644
--- a/app/controllers/home_controller.rb
+++ b/app/controllers/home_controller.rb
@@ -1,43 +1,48 @@
 # frozen_string_literal: true
 
 class HomeController < ApplicationController
+  
+  # rubocop:disable Metrics/AbcSize
+  # rubocop:disable Metrics/MethodLength
+  # rubocop:disable Metrics/CyclomaticComplexity
+  # rubocop:disable Metrics/PerceivedComplexity
   def show
-    # @cases = @current_user.cases.not_archived.includes([ :scores ])
     @cases = @current_user.cases_involved_with.not_archived.with_counts
 
     @most_recent_cases = @current_user.cases_involved_with.not_archived.recent.limit(4).with_counts.sort_by(&:case_name)
-    
+
     # Run the prophet!
     @prophet_case_data = {}
     @most_recent_cases.each do |kase|
-      data = kase.scores.sampled(kase.id,25).collect{ |score| {ds: score.created_at.to_date.to_fs(:db), y: score.score, datetime: score.created_at.to_date } }.uniq
+      data = kase.scores.sampled(kase.id, 25).collect do |score|
+        { ds: score.created_at.to_date.to_fs(:db), y: score.score, datetime: score.created_at.to_date }
+      end.uniq
       # warning! blunt filter below!
       data = data.uniq { |h| h[:ds] }
-      data = data.map {|h| h.transform_keys(&:to_s)  }
-      
-      do_changepoints = data.length >= 3 ? true : false # need at least 3...
-      
-      if do_changepoints
-        df = Rover::DataFrame.new(data)
-        m = Prophet.new()
-        m.fit(df)
-      
-        last_changepoint = DateTime.parse(m.changepoints.last.to_s)
-        initial = data.find{ |h| h['datetime'].all_day.overlaps?(last_changepoint.all_day)}["y"] 
-        final = kase.scores.last_one.score
-        change = 100 * (final - initial) / initial
-                
-        vega_data = data.map{ |d| {x: d['ds'], y: d['y']} }
-        
-        @prophet_case_data[kase.id] = {
-          initial: initial,
-          final: final,
-          change: change,
-          last_changepoint: last_changepoint,
-          vega_data: vega_data
-        }
-      end
-      
+      data = data.map { |h| h.transform_keys(&:to_s) }
+
+      do_changepoints = data.length >= 3 # need at least 3...
+
+      next unless do_changepoints
+
+      df = Rover::DataFrame.new(data)
+      m = Prophet.new
+      m.fit(df)
+
+      last_changepoint = DateTime.parse(m.changepoints.last.to_s)
+      initial = data.find { |h| h['datetime'].all_day.overlaps?(last_changepoint.all_day) }['y']
+      final = kase.scores.last_one.score
+      change = 100 * (final - initial) / initial
+
+      vega_data = data.map { |d| { x: d['ds'], y: d['y'] } }
+
+      @prophet_case_data[kase.id] = {
+        initial:          initial,
+        final:            final,
+        change:           change,
+        last_changepoint: last_changepoint,
+        vega_data:        vega_data,
+      }
     end
 
     @most_recent_books = []
@@ -59,5 +64,9 @@ def show
     @cases
     # @grouped_cases = candidate_cases.group_by { |kase| kase.case_name.split(':').first }
     # @grouped_cases = @grouped_cases.select { |_key, value| value.count > 1 }
-  end
+  end  
+  # rubocop:enable Metrics/AbcSize
+  # rubocop:enable Metrics/MethodLength
+  # rubocop:enable Metrics/CyclomaticComplexity
+  # rubocop:enable Metrics/PerceivedComplexity
 end