Inform reader to download the json file and move it to the directory.
Change some of new_york_fields tibble's types from continuous to factors like bathrooms, bedrooms, property type, etc.
Display a bit of the new tibble so we can see if it's tidy.
To make the tibble more tidy, you can separate the commas in street and host_location.
Description of used columns would be great. For example, I don't know what unit price is in. I'm guessing dollars/night, but for someone who does not know Airbnb or how it works, they would not know.
graph should show a linear line to show the linear relationship. Suggestion: add geom_smooth(method = "lm")
Your analysis seems to be incorrect. A p value of < 0.05 means that it is significant, meaning that there is an good impact on the dependent variable.