I wrote new codes under the comments.

The first few went will for me but when I started to get to the def ratio function everything started getting confusing.
When I was stuck I did try to use my notes from CsE 115 which helped me out a little.

transform.py

@@ -5,39 +5,79 @@
 # None of them are finished; this is your job!
 
 def maximum(data):
-    "Returns the largest number in data"
-    raise NotImplementedError
+    #Returns the largest number in data
+    largest= data[0]
+    for n in data:
+        if n > largest:
+            largest = n
+    return largest
+
 
 def minimum(data):
-    "Returns the smallest number in data"
-    raise NotImplementedError
+   #Returns the smallest number in data
+    smallest= data[0]
+    for n in data:
+        if n < smallest:
+            smallest = n
+    return smallest
 
 def bounds(data):
-    "Returns a list of the smallest and largest numbers in data"
-    raise NotImplementedError
+#Returns a list of the smallest and largest numbers in data
+    smallest= data[0]   
+    largest= data[0]
+    for n in data:
+        if n < smallest:
+            smallest = n 
+        if n > largest:
+            largest = n
+    return [smallest,largest]        
 
 def clamp(value, low, high):
-    """Clamps a value to a range from low to high. 
-    Returns value if it is between low and high.
-    If value is lower than low, returns low. If value is higher than high, returns high.
-    """
-    raise NotImplementedError
+#     """Clamps a value to a range from low to high. 
+#     Returns value if it is between low and high.
+#     If value is lower than low, returns low. If value is higher than high, returns high."""
+#    
+    if value > high:
+        return high
+    elif value < low:
+        return low
+    else:
+        return value
 
 def ratio(value, start, end):
     """Returns a number from 0.0 to 1.0, representing how far along value is from start to end.
     The return value is clamped to [0, 1], so even if value is lower than start, the return 
     value will not be lower than 0.0.
     """
-    raise NotImplementedError
-
+    r= (value - start) / (end - start)   
+    if start==end:
+        return 0.0
+    if r < 0.0:
+        return 0.0
+    elif r > 1.0:
+        return 1.0
+    else:
+        return r
 def scale(value, domain_min, domain_max, range_min, range_max):
-    "Given a value within a domain, returns the scaled equivalent within range."
-    raise NotImplementedError
+#     "Given a value within a domain, returns the scaled equivalent within range."
+
+    if domain_min == domain_max:
+        return range_min
+    r = (value - domain_min) / (domain_max - domain_min)
+    return range_min + r * (range_max - range_min) 
 
 def get_x_values(points):
-    "Returns the first value for each point in points."
-    raise NotImplementedError
+#     "Returns the first value for each point in points."
+    x_values=[] 
+    for i in points:
+        x_values.append(i[0])
+    return x_values
 
 def get_y_values(points):
-    "Returns the second value for each point in points."
-    raise NotImplementedError
+#     "Returns the second value for each point in points."
+    y_values = []
+    for i in points:
+        y_values.append(i[1]) 
+    return y_values
+
+