This was a hard one and I still dont think i did it right

scatterplot.py

@@ -34,10 +34,10 @@ def draw_scatterplot(data, size=5, color="black"):
     draw_points(data, color, size)
 
 def draw_axes(data):
-    "Draws the scatter plot's axes."
+  
 
 def draw_points(data, color, size):
-    "Draws the scatter plot's points."
+    
 
 with no_delay():
     data = generate_data(50, 10, 500, 5, 400, 1000)

transform.py

@@ -5,82 +5,35 @@
 # None of them are finished; this is your job!
 
 def maximum(data):
-  def minimum(data):
     highest = None
     for number in data:
         if highest is None:
-            highest = 10
-        if number < lowest:
             highest = number
+        if number > highest:
+            highest =  number
     return highest
   
-
+  
 def minimum(data):
-   def minimum(data):
     lowest = None
     for number in data:
         if lowest is None:
-            lowest = 5
+            lowest = number
         if number < lowest:
             lowest = number
     return lowest
 
 def bounds(data):
-    def minimum(data):
-    lowest = None
-    for number in data:
-        if lowest is None:
-            lowest = number
-        if number < lowest:
-            lowest = number
-    return lowest
+    return [minimum]
 
 def clamp(value, low, high):
-  def minimum(data):
-    lowest = None
-    for number in data:
-        if lowest is None:
-            lowest = number
-        if number < lowest:
-            lowest = number
-    return lowest
+ 
 
 def ratio(value, start, end):
-    def minimum(data):
-    lowest = None
-    for number in data:
-        if lowest is None:
-            lowest = number
-        if number < lowest:
-            lowest = number
-    return lowest
+    
 
 def scale(value, domain_min, domain_max, range_min, range_max):
-  def minimum(data):
-    lowest = None
-    for number in data:
-        if lowest is None:
-            lowest = number
-        if number < lowest:
-            lowest = number
-    return lowest
-
-def get_x_values(points):
-  def minimum(data):
-    lowest = None
-    for number in data:
-        if lowest is None:
-            lowest = number
-        if number < lowest:
-            lowest = number
-    return lowest
-
+ 
+ 
 def get_y_values(points):
- def minimum(data):
-    lowest = None
-    for number in data:
-        if lowest is None:
-            lowest = number
-        if number < lowest:
-            lowest = number
-    return lowest
+