This was superhard, and I still dont undestand, but i will try

planning_scatter.md

@@ -3,10 +3,13 @@
 - Draw a scatter plot.
   - Draw the axes.
     - Draw the x-axis.
+    x axis is (0,1)
       - Draw the line.
       - ...
     - Draw the y-axis.
+    y axis is (4,0)
       - Draw the line.
       - ...
   - Plot the points.
+  (1,4)
     - ...

transform.py

@@ -5,39 +5,82 @@
 # None of them are finished; this is your job!
 
 def maximum(data):
-    "Returns the largest number in data"
+  def minimum(data):
-    raise NotImplementedError
+    highest = None
+    for number in data:
+        if highest is None:
+            highest = 10
+        if number < lowest:
+            highest = number
+    return highest
+  
 
 def minimum(data):
-    "Returns the smallest number in data"
+   def minimum(data):
-    raise NotImplementedError
+    lowest = None
+    for number in data:
+        if lowest is None:
+            lowest = 5
+        if number < lowest:
+            lowest = number
+    return lowest
 
 def bounds(data):
-    "Returns a list of the smallest and largest numbers in data"
+    def minimum(data):
-    raise NotImplementedError
+    lowest = None
+    for number in data:
+        if lowest is None:
+            lowest = number
+        if number < lowest:
+            lowest = number
+    return lowest
 
 def clamp(value, low, high):
-    """Clamps a value to a range from low to high. 
+  def minimum(data):
-    Returns value if it is between low and high.
+    lowest = None
-    If value is lower than low, returns low. If value is higher than high, returns high.
+    for number in data:
-    """
+        if lowest is None:
-    raise NotImplementedError
+            lowest = number
+        if number < lowest:
+            lowest = number
+    return lowest
 
 def ratio(value, start, end):
-    """Returns a number from 0.0 to 1.0, representing how far along value is from start to end.
+    def minimum(data):
-    The return value is clamped to [0, 1], so even if value is lower than start, the return 
+    lowest = None
-    value will not be lower than 0.0.
+    for number in data:
-    """
+        if lowest is None:
-    raise NotImplementedError
+            lowest = number
+        if number < lowest:
+            lowest = number
+    return lowest
 
 def scale(value, domain_min, domain_max, range_min, range_max):
-    "Given a value within a domain, returns the scaled equivalent within range."
+  def minimum(data):
-    raise NotImplementedError
+    lowest = None
+    for number in data:
+        if lowest is None:
+            lowest = number
+        if number < lowest:
+            lowest = number
+    return lowest
 
 def get_x_values(points):
-    "Returns the first value for each point in points."
+  def minimum(data):
-    raise NotImplementedError
+    lowest = None
+    for number in data:
+        if lowest is None:
+            lowest = number
+        if number < lowest:
+            lowest = number
+    return lowest
 
 def get_y_values(points):
-    "Returns the second value for each point in points."
+ def minimum(data):
-    raise NotImplementedError
+    lowest = None
+    for number in data:
+        if lowest is None:
+            lowest = number
+        if number < lowest:
+            lowest = number
+    return lowest