https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/SuyashBhagwat_HW3.html

[giscus[bot]]

https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/SuyashBhagwat_HW3.html

Homework 3: Descriptive Statistics and Exploratory Data Analysis

https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/SuyashBhagwat_HW3.html

[sp-conway]

Hi Suyash,
Below are some comments I took as I read.

Overall, nice job. You made some nice looking plots and it was easy to follow. I would work on adding more nuance to your RQs and analyses. Please let me know if you have any questions.

• I know we used this dataset in class, but assume the reader does not have access to it. Explain it in greater detail (where it came from, what it measures, who collected it, etc.).
• Research questions
  • These are a good start, but many of these require simple univariate analyses. Maybe see if you can identify a multivariate relationship that you are interested in.
• Good first couple plots
• Bar chart of count vs meal type
  • Relabel the x axis values to be more descriptive. BB and FB etc are not descriptive enough.
• Nice pie chart looking at the market segment.
• Explain what the room types are.
• Bar chart of count vs customer type
  • Reorder the bars from largest to smallest
• Guests by country
  • I would change the country codes to the actual country names. This will make the plot a lot easier to read.
• Histogram density of average daily rate
  • I would just show the histogram. The raw data are informative enough.
• I would focus on making multivariate graphs and including some more nuanced research questions.

[sbhagwat95]

Hi Sean. Thanks for the feedback! I'll work on the points given above. Also, can you tell me what I reference(citation) I should use for the hotel_bookings.csv dataset?

[sp-conway]

Sure! This is the link: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand

[sbhagwat95]

Thanks! Also here are a few bivariate RQs that I could think of. Let me know if I can go ahead and add these questions to my final report:

1. ADR vs leadtime ( does longer lead time (i.e. how early the booking is done) lead to lower ADR?) - I'm thinking of making a scatterplot faceted by hotel type.
2. Cancelation rate by customer type (Box plot)
3. ADR vs day of month (box plot)

[sp-conway]

Those sound great!

[sbhagwat95]

Thanks! Also, do we have to keep the descriptive statistics section in the final report? Or is it ok if I merge that section with some of the univariate questions above?

[sp-conway]

Please keep the descriptive section as a way to introduce the dataset. --Sean ConwayOn Jul 10, 2023, at 8:01 AM, Suyash Bhagwat ***@***.***> wrote: Thanks! Also, do we have to keep the descriptive statistics section in the final report? Or is it ok if I merge that section with some of the univariate questions above? —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you commented.Message ID: ***@***.***>