Hey Aurora and Steven,

As I was reviewing your analysis files, I noticed that you were not able to import your functions from the .py file properly. I have attached a screenshot of how I did it in my analysis 1 file and I can walk you through the codes:

1. I first imported os, so that I can define the file path for importing my function. (this was done at the very top, where I imported pandas, seaborn, etc. the code is simply import os)
2. I then assigned cpath(a variable) a value of os.get.cwd(). This basically stores your current directory path (aka where all our analysis files are located) into the variable cpath.
3. I then changed the directory in the next line, basically adding "\code" to the end of my current working directory path, which guides the computer into the code folder, where we stored all our function files.
4. Now that we are at the right directory, we can import the load and process function as I wrote on my third line of code.
5. I then change the directory to head back to where all the analysis files are, which we can use the variable cpath to define the path.
6. The load and process function should now work using whatever parameters you have set for yourselves.

Let me know if you need me to explain this in person!

Feedback for Group 21

1. Notes from [Islam] on Feedback on the analysis:

Analysis 1:

• Good job.
• add titles to your visualizations
• increase text size in your visualizations
• fix histogram

Analysis 2:

• Good job.

Analysis 3:

• Good job.
• fix Minimum_nights VS. Price (overplotted)
• add titles to your visualizations
• fix scale of small visualizations by changing xlim

Contracted Grade

1. What is your contracted grade?

• A

2. Are you on track to satisfy all the requirements of your contracted grade?

• Yes, work isn't done but you're on the right track.

Analysis 1

• Add title and observations for plots
• Change count and price plot and explain (histogram)
• Overlay the distributions, explain the y axis and x axis and show what the difference is
• Refer to the plots that answer the question
• #2
  Analysis 2
• Add value on top of the bar chart on room type
• Add a legend on the geographic plot and figure out how to overlay different colour plots
• Resolve warning message
• Summary of research questions can be longer
  Analysis 3
• edit research question (make deeper)
• Edit minimum nights vs price: Use box plot
• Add titles and comments to plots
• Sort the number of listings and count plot
• Combine method chaining
• Cut off (limit y axis) and combine for price distribution plot

1. What is your contracted grade?

• A

2. Are there are any group dynamics issues that we need to be aware of ?

• None

4. Notes from Firas on Feedback on the analysis:

• Refactor your code instead of using f-strings and loops, to do it using pandas groupby, or apply function isin()
• Show me a plot of the price as a histogram, and then limit to the top 95% (you may need to play around with this number)
• Room type vs price is over plotted (switch to a histogram) (analysis2)
• Create an annotated line at the lower and upper end of your price to say that's what you're considering (analysis1,2,3)
• Sort your histogram by number of listings (analysis2)
• Boxplot isn't the right plot there (analysis2)
• Lots more work left for analysis3, unable to give you useful feedback at the moment