https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2F15aa5b7419bcc2515e799b6d7e62c081%2Fimages.jfif?generation=1660983160469700&alt=media" alt="">

[Context]

As the United States Supreme Court voted to roll back abortion rights, reversing the landmark 1973 decision Roe v Wade which enshrined the legal right to an abortion in the US, it was a moment of elation for those who have fought for that outcome, and a day of dismal reassessment for those who fought against it.

from https://www.aljazeera.com/news/2022/6/24/roe-v-wade-supreme-court-decision-highlights-us-abortion-divide

[About]

Tweets about the recent decision of the Supreme Court of the United States (SCOTUS) last June 24, 2022 to overturn Roe V Wade 1973.

[Context]

• https://supreme.findlaw.com/supreme-court-insights/roe-v--wade-case-summary--what-you-need-to-know.html
• https://supreme.findlaw.com/supreme-court-insights/could-roe-v--wade-be-overturned-.html
• https://en.wikipedia.org/wiki/Roe_v._Wade
• https://en.wikipedia.org/wiki/Dobbs_v._Jackson_Women%27s_Health_Organization

[Notes]

Cover Image from https://theconversation.com/us-supreme-court-overturns-roe-v-wade-but-for-abortion-opponents-this-is-just-the-beginning-185768

Women's College Basketball Team Rosters

Women's College Basketball Team Rosters for the 2022-2023 Season

By Andy Kriebel [source]

About this dataset

The dataset consists of three files: wbb_years_cleaned.csv, wbb_rosters_2022_23.csv, and wbb_teams.csv.

The wbb_years_cleaned.csv file contains data on the count of women's college basketball teams and their rosters for each year. It focuses specifically on the 2022-2023 season and includes information such as the number of players in each team's roster and whether any players are on redshirt status.

The wbb_rosters_2022_23.csv file provides insights into the height distribution within women's college basketball teams during the 2022-2023 season. This file specifically examines how heights vary among players within a team.

Lastly, the wbb_teams.csv file offers detailed information about individual women's college basketball teams participating in the 2022-2023 season. It includes essential details like team names, Twitter handles, URLs to their profiles or websites, NCAA IDs (identification numbers), conference affiliations, and division affiliations.

This dataset is derived from sources curated by Derek Willis from Sports Data Analysis & Visualization class at Merrill College. The original visualization showcasing this dataset presents intriguing height distribution patterns across different women's college basketball teams during a specific period.

Overall, this dataset serves as a valuable resource for analyzing various aspects related to women's college basketball in terms of player demographics (such as height), positional roles played by individuals within a team hierarchy (primary position vs. secondary position), educational backgrounds (high schools attended and previous schools attended), hometowns, team affiliations at the conference and division level, and social media presence (Twitter handles)

How to use the dataset

Dataset Overview

The dataset consists of three CSV files: wbb_years_cleaned.csv, wbb_rosters_2022_23.csv, and wbb_teams.csv.

wbb_years_cleaned.csv

This file contains data on the count of women's college basketball teams and their rosters for each year, with a focus on the 2022-2023 season. It includes columns such as: - year: The year of the women's college basketball season. - count: The number of players in the roster for that particular year. - redshirt: Indicates whether a player is on redshirt status for that particular year.

wbb_rosters_2022_23.csv

This file contains data on the height distribution of women's college basketball teams in the 2022-2023 season. It includes columns such as: - team: The name of the women's college basketball team. - height_ft: The height of players in feet. - height_in: The height of players in inches. - total_inches: The total height of players in inches.

wbb_teams.csv

This file contains information about women’s college basketball teams in the 2022–2033 season, including team names, Twitter handles, URLs, NCAA IDs, conference/division affiliations, and more. It includes columns such as: - team_state: The state where the women’s college basketball team is located. - conference: The conference to which each team belongs.

Getting Started

• Download or import all three CSV files into your preferred data analysis or visualization tool, such as Python with pandas, R with dplyr, or Excel.

• Familiarize yourself with the available columns in each dataset. Refer to the provided Columns section for detailed information on each column's meaning and format.

• Determine your research questions or objectives based on the available data. Here are a few examples of what you can explore using this dataset:

  • Analyze the height distribution of women's college basketball teams in the 2022-2023 season.
  • Investigate how different conferences vary in team sizes and player redshirt status.
  • Examine the relationship between

Research Ideas

• Analyzing the distribution of player heights across women's college basketball teams can provide insights into the physical characteristics of players in different positions and divisions. This analysis can help identify trends and patterns in player recruitment and development.
• Comparing the height distribution of teams from different conferences or divisions can reveal any disparities or advantages in terms of team composition and playing style. This information can be useful for coaches, recruiters, and fans to understand how different factors influence team performance.
• By examining the secondary positions played by playe...

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