HW2) Reproducing Serena Williams’s Plot

About

This assignment is the continuation of HW1. This time you will take the next step by implementing the “game plan” you described in the first assignment.

Serena Williams’s Career Matches

As we saw in HW1, the webpage containing the career matches of Serena Williams is given below:

https://www.tennisabstract.com/cgi-bin/wplayer-classic.cgi?p=SerenaWilliams&f=ACareerqq

Important

Notice the date of birth of Serena Williams: 26-Sep-1981

Main Data File

If you inspect the source code of the above webpage, you can find the following javascript file that has all the data (i.e. the necessary information) about Serena Williams’s matches:

https://www.tennisabstract.com/jsmatches/SerenaWilliamsCareer.js

Example: First Match
Let’s consider the first match that took place in October 30th 1995 (see highlighted data in the image below).

The data of this match is the first element in the array of the javascript file SerenaWilliamsCareer.js which contains, among other fields, the following values:

  • Date of match: "19951030"
  • Tournament: "Canadian Open"
  • Surface: "Carpet"
  • Whether Serena loses or wins: "W", "L" (lose) or "W", "W" (win)
  • Name of opponent: "Anne Miller"
  • Opponent’s date of birth: "19770119"

Deliverables

For this assignment, you will have a single GitHub repository (individual submission). Your repository should contain the following:

  • One script file with code to download the raw data file (i.e. javascript file)

  • One script file (.py or .R) to clean/process the raw data in order to produce the clean data set. This is the data serena to be used for graphing purposes (recall that serena was mentioned in HW1).

  • One script file (.py or .R) in which you import the serena data and produce the plot, saved into an appropriate folder, e.g. images/, or outputs/, or figures/.

  • One notebook (.ipynb or .qmd) or markdown file (doc.md or report.md) in which you insert the image (plot) file, and a brief narrative description for this assignment.

  • An optional ai_documentation.txt file where you will describe the name an version of any AI tool used for this HW, as well as any prompts and output from such AI tool(s).

  • A Makefile that includes:

    • .PHONY targets all and clean
    • rule to generate clean data
    • rule to generate the plot in PNG format
    • rule to produce the report in HTML format
    • rule to produce the report in PDF format
    • all rule to get the clean data, the plot, and the HTML/PDF reports
    • clean rule to remove clean data, plot, and HTML/PDF reports

  • Add a Conda environment.yml

  • A README.md file (at the top-level) with detailed contents about your HW assignment.