https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/matt_zambetti_hw2.html

[giscus[bot]]

https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/matt_zambetti_hw2.html

https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/matt_zambetti_hw2.html

[sp-conway]

Hi Matt,

I would consider finding additional data, should you continue with these data for the final project. This is a pretty limited dataset, with only a handful of observations. I might consider bundling this with another dataset (perhaps one on fast food consumption?) should continue down this road.

[mzambetti01]

I was looking for the fast food consumption data set and could not find it. Would you mind helping me out with that?

[mzambetti01]

I am looking to elaborate on this data set. It seems for HW3 this data set is more than sufficient. What else would you want me to add to this data set?

[sp-conway]

Hi Matt,
I was mistaken about the low number of observations (I had thought you printed out the whole dataframe, and not the "head", at the top). However, I am still concerned about whether or not there is enough in the dataset to make into a final research project. For example, you proposed some research questions that could be answered fairly quickly (e.g., foods with high / low calorie count).

These data are on McDonald's in India. I am not aware of any specific data on fast food consumption (I thought there might be, as it seems like a dataset that could exist). However, have you looked for McDonald's menu data for the US? or maybe even European countries too? Comparing the menu across regions could lead to some interesting analyses.