Data set - hotel- Includes numeric data regarding cancellations, arrival times, dates (MO, year, day), and cancellations.
hotel <- read_csv(file=“hotel_bookings.csv”) hotel dim(hotel) arrange (hotel, desc(lead_time)) filter(hotel, lead_time > 100)
Distill is a publication format for scientific and technical writing, native to the web.
Learn more about using Distill for R Markdown at https://rstudio.github.io/distill.
Text and figures are licensed under Creative Commons Attribution CC BY-NC 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Jones (2022, Feb. 9). Data Analytics and Computational Social Science: HW2. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomaristotle1862605/
BibTeX citation
@misc{jones2022hw2, author = {Jones, Nora}, title = {Data Analytics and Computational Social Science: HW2}, url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomaristotle1862605/}, year = {2022} }