diff --git a/day-to-day-comparisons.py b/day-to-day-comparisons.py
new file mode 100644
index 0000000..3d5fd3b
--- /dev/null
+++ b/day-to-day-comparisons.py
@@ -0,0 +1,62 @@
+from bokeh.plotting import figure, output_file, save, show
+from bokeh.models import Legend, ColumnDataSource
+# import datetime
+from datetime import datetime
+import re
+import bokeh.palettes
+import pandas as pd
+import numpy as np
+import random
+
+def  random_colour():
+    r = random.randint(0,255)
+    g = random.randint(0,255)
+    b = random.randint(0,255)
+    rgb = [r,g,b]
+    return rgb
+
+for month in range(6, 8, 1) : # 6 8 1
+    for day in range(0, 31, 1) : # 1 31 1
+        p = figure(# title=f"Side-by-Side Comparison Day: {day}",
+                    x_axis_label="Reading Id. (not same as database)",
+                    y_axis_label="Light Reading",
+                    # x_axis_type='datetime',
+                    sizing_mode="stretch_both")
+        p.axis.major_label_text_font_size = "12px"
+        p.axis.major_label_standoff = 10
+        for meter in range(1, 3) :
+            if (day < 10) :
+                d = f"0{day}"
+            else :
+                d = day
+                15
+
+            if (day <= 13) or (day == 15) or (day == 20) or (day == 23) or (day == 25) or (day == 27) :
+                print(f"Skipping: Day {d} -- incomplete data...")
+            else :
+                print(f"PROCESSING: 2021-{month}-{day} for Meter {meter}...")
+                file_data = []
+                file_path = f"data/light-meter-{meter}/2021-0{month}-{d}.csv"
+                single_file = pd.read_csv (file_path, sep="," ,header=None,
+                                           index_col=False, dtype='unicode')
+                file_data.append(single_file.values[1:])
+
+                counter = 0
+                for row in file_data :
+                    x_vals = []
+                    y_vals = []
+                    for data in row :
+                        # print(f"Counter: {counter}")
+                        x_vals.append(counter)
+                        y_vals.append(data[1])
+                        counter += 1
+                    p.line(x = np.asarray(x_vals).astype(int),
+                           y = np.asarray(y_vals).astype(int),
+                           legend_label=f"Meter: {meter}",
+                           line_color=random_colour())
+                    counter = 0
+
+                p.title = f"Side-by-Side Comparison Day: {day}"
+                output_file(f"output/side-by-side-day-{d}.html",
+                            title=f"Side-by-Side Comparison For Day: {d} (From Each Month)")
+                save(p)