I have been editing the Jupyter notebook and

working through the tasks for each data set.

I am at a point in this lab where I am stuck and we are troublehooting
the graphing functions. It appears that my computer is not agreeing with seaborn.
That being said, I am suprised how much more accessible the
math side of coding is with the jupyter notebook. I have enjoyed this lab, but I
think it makes sense becasue there are models of exactly what needs to be done to the data sets,
then we manipulate our own. This is something I am understanding,
but want to keep practicing. The overall experience is positive though.

As I continue and think about my own data, I want to do exactly what we discussed, and
pull data then run it through similar steps (as the Pokemon lab). I think this
will give me a chance to really practice this side of coding that is challenging for me.

As I work through these problems and labs I find myself
reflecting on Computer science as an interdicilinanary learning expereience.
How do we engage individuals who struggle with math and order of operations or
who have a fixed mindset about technology and math? How do we challenge these
students and encourage them to try and flourish without turning them off from the computing
sector all together?

brfss_2020.ipynb

@@ -175,7 +175,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.12.6"
   }
  },
  "nbformat": 4,