Project feedback

[wolfj95]

Thanks for submitting this great project. It was really interesting to see how you went about answering the questions you posed. Here's some feedback about each of the subquestions in your project and your project overall.

SubQ 1:

• Great work using the mean from the describe() function of the dataframe class.
• Why do you think the YG block uses less energy? What do you think the school does/doesn't have control over when it comes to changing energy usage?

SubQ 2:

• It would help if you formatted your answers with a print statement (i.e print('Mean HVAC system usage in kw hours: {}".format(mean)) ) so we could tell what each number was and what units it was in

SubQ 3:

• great comparison with government data - really interesting insight
• you could fill out this insight with more comparisons between other schools and ISF (like numbers of students, number of building, etc.)

Sub# 4:

• Good consideration of information outside your data, like the primary blocks using more solar energy

Self-Assessment

Criterion A

👎 I disagree and think that your project achieves a 4 in this criterion.

You did a great job of using the summary statistics tool offered by pandas and creating variables to abstract your code. You also make a good choice to put your data into lists to be able to manipulate and graph it. However, you didn't put any of your code into functions (despite having repeated averaging code) and you never loop through any data. While you used a new feature from matplotlib, it seems that the code for your plot came from a website based and the identical format and variable names. Despite our remixing policy, you did not cite this source. I've run into this issue with a number of students, and so I cannot give you the point for using a new feature.

I could not find evidence of the following items in your project:

• loop through a data structure in order to access/change elements inside the data structure
• write a function that transforms data into a more useful format
• write and use a pair of functions where one function generates an output which is then used as the input of the second function

Criterion B

👎 I disagree and think that your project achieves a 6 in this criterion.

You project is very personally meaningful, and it's clear that you had the Shuyuan sustainability team was in mind throughout the development of your project. Your planning document and git log show good iterative development. To improve you project, you could discuss how you handle outliers in your data (or how you determined if there were any outliers).

I could not find evidence of the following items in your project:

• deal with outliers by cleaning the data beyond what’s provided (removing the data that is blank or outlier)
• write a comment for each function (include the comment inside the function) you write describing what the function does and what its inputs/outputs are

Criterion D

👎 I disagree and think that your project achieves a 6 in this criterion.

Great situation of your project in a broader context in your introduction! I appreciate how you brought in outside data and articles written about the school's sustainability efforts. To improve your project, you could talk about potential ways to address the limitations you discuss in your project. Additionally, it would be good to know how you think people (specifically, the sustainability team) should act on the information you share.

I could not find evidence of the following items in your project:

• discuss possible approaches to address the limitations of your quantitative analysis
• discuss the implications of your results - how should your audience respond to your answer?

[wolfj95]

Also, how did you come up with this code? https://github.com/the-isf-academy/data-science-project-haji789/blob/33c2a8abedd81a5463ca55a2ceddd1d11982665d/Project.Rmd#L202-L211

It looks very similar to this: https://pythonspot.com/matplotlib-bar-chart/

Let's check in about this.

[wolfj95]

Please comment with a response to the following questions by Wednesday, March 18th at 5pm:

1. Do you agree with my assessment?
   1. If yes, simply say “I agree”
   2. If not, note which criterion, which item you accomplished in your project but did not receive a point for, and where in your project you achieved that item
2. What was one thing you were proud of in this project?
3. What is one thing you will try to improve on next time?
4. How do you feel about this project overall? Do you think you did better or worse than you wanted to do?

[0010040]

Do you agree with my assessment?

I agree.

What was one thing you were proud of in this project?

I thought that I did very well in the analysis and preparation phases of this project, as I was able to create good sub-questions which would allow me to have access to data that really had a purpose. After collecting the data I was also successful in analyzing it, by pointing out key things that could possibly help me answer the main question.

What is one thing you will try to improve on next time?

I will try to either cite my sources when using code from other individuals or cites and if I can possibly write the code that will help me run the graphs, however, this does depend on my understanding and knowledge towards the specific unit.

How do you feel about this project overall? Do you think you did better or worse than you wanted to do?

I thought that the project went pretty well, as we were given a lot of time to learn new techniques that we could later on apply to our code, which I believe was very helpful.