Objective: Create a Statistical Analysis Plan (SAP) based on data obtained by web scraping using the rvest R package and review the SAPs of others in your group.

Deadlines:

•    For data and document upload: 17:00 Friday 27th January

•   For peer review: 17:00 Friday 3rd   February

Contribution to your final grade: 5% total (3% for submitting your files and 2% for completing the peer review exercise for each member ofyour group)

Overview:  You are required to obtain a dataset of interest to you by ‘scraping’ data from a   website of your choosing (and for which you have permission) using the rvest R package. You will then pose at least 2 research questions that you could explore using the dataset. You will then submit your data and a document that summarises your dataset, lists your research  questions and includes a Statistical Analysis Plan (SAP) which outlines how you would explore your research questions.

Your submitted data and document will be peer reviewed by members within your group and you will review the data and documents submitted by other members ofyour group.

Task Details

Task 1 - Obtain a dataset of interest to you by ‘scraping’ data from a website of your choosing using the rvest R package and identify two research questions that could be explored using the dataset.  Before you scrape the data, ensure that you have permission by using the paths_allowed() function.

Once imported into R, store your data as a tibble with a meaningful name and give the variables appropriate names and ensure the variables are the correct data types in R (i.e. character, numeric, integer, factor, logical, etc.).  Export your data to an Excel (.xls) file and upload this to Aropa (see below).

Your data must meet the following requirements:

•   The data should have between 50 and 500 observations.

•    The data must not be scraped from any of the websites used in the course

videos/materials (e.g. www.imdb.com and www.opensecrets.org) with the exception of Wikipedia which you may use.

Task 2 - Produce a Word or PDF document containing:

•   The URL (web address) of the data

•    The context of the data and it’s variables

•   The content of the data as summarised by the output of the str() function applied to the tibble containing the data

•    The research questions you want to explore using the data, and

•   A SAP for exploring the research questions using the data.

There is a template for the document available on Moodle and your SAP must be no longer than 2 A4 sheets in length.