In 2024, public interest levels in the United States in the tennis Grand Slam competition the US Open rose over the previous year. In the last surveyed year, ** percent of adults between 25 and 44 years old were interested in the competition. In comparison, ** percent of 25 to 44 year olds were interested in the competition in 2023.

An incomplete collection of open data domains throughout the U.S. (intended for comparison with King County open data)

As of 2024, just three tennis players had won the US Open on five occasions: Roger Federer, Jimmy Connors, and Pete Sampras. Jannik Sinner won the tournament in 2024, which was his first title in the competition.

The dataset contains year-, gender- and gram-slam-wise historically compiled data on the tennis grand slam singles winners and runners, both men and women, since the year 1877. The specifics of data contained in the dataset include the names and nationality of winners and runners, grand slam types such US Open, Australian Open, Wimbledon, French Open, etc., the score in each set, and others.

The US Open Shop is a premier destination for US Open of Tennis merchandise and apparel. Founded at the Billie Jean King National Tennis Center, our shop is dedicated to providing a wide selection of products that mirror what you'll find on-site. From Polo Ralph Lauren to '47 Brand, we carry a variety of vendors to suit every tennis fan's style.

Our collection of products reflects the excitement and competition of the US Open, with apparel and accessories for men, women, and kids. Whether you're looking for official US Open towels, hats, or performance wear, we have you covered. Our catalog also includes unique gifts for every tennis enthusiast, such as themed posters and pins.

In 2024, there were over *********** attendees at the US Open. This set a new record for the Grand Slam tennis tournament, and represented an increase of ** percent from 2019.

📜 BRIDGE-Open Dataset The BRIDGE-Open dataset is an open-access subset of the datasets used by the BRIDGE benchmark. This dataset includes the 55 tasks of the open-access datasets that can be released to the public. Each dataset should be used in accordance with the license of its original release (the source of each dataset is listed at our BRIDGE paper, Supplementary Section 5.)

Due to privacy and security considerations of clinical data, regulated-access datasets can not… See the full description on the dataset page: https://huggingface.co/datasets/YLab-Open/BRIDGE-Open.

Data is from 2000 Aus Open - 2019 US Open for only ATP atm. Message me if you know of good sources of women's data! Data was gathered by combining data from: - Jeff Sackmann (https://github.com/JeffSackmann) - Tennis-Data.co.uk (http://www.tennis-data.co.uk/) - Ultimate Tennis Statistics (https://www.ultimatetennisstatistics.com/)

Head to https://count.co/n/SZSMkTIP1Xf for more info about the data and a few starter queries.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1329595%2F90a882b915464b52a5c9264706e3e272%2FScreenshot%202019-09-18%20at%2011.52.30%20am.png?generation=1568803973578599&alt=media" alt="Players age when they made the top 10">

During the 2024 US Open, Taylor Fritz was the men's singles ace leader with ** aces. That year, Fritz reached the final before being beaten by eventual champion Jannik Sinner, who recorded ** aces.

The women's tennis market, encompassing professional tournaments, sponsorships, media rights, and merchandise, presents a dynamic and lucrative landscape. While precise market size figures are unavailable, a reasonable estimation, considering the popularity of the sport and the substantial revenue generated by major tournaments like the US Open, Wimbledon, and the Australian Open, places the 2025 market value at approximately $1.5 billion USD. This market demonstrates robust growth, with a projected Compound Annual Growth Rate (CAGR) of around 5-7% from 2025 to 2033, driven primarily by increasing global viewership, expanding sponsorship deals, and the rising popularity of female athletes. Key drivers include the growing participation of women in sports globally, increased media coverage focused on female athletes, the rise of social media influence, and the ongoing development of professional tennis organizations focused on women's events. Major trends include the increasing professionalization of women’s tennis, enhanced broadcast deals resulting in wider global reach, and the evolving sponsorship landscape incorporating new technological partnerships and brands targeting female consumers. However, challenges remain, including ensuring equitable pay and prize money across gender, managing competition from other sports, and the need for consistent broadcasting and promotional strategies to maintain consistent viewership. The growth trajectory is expected to continue, fueled by rising media rights revenue, particularly through streaming platforms, and a strengthened sponsorship market driven by brands recognizing the valuable reach of this demographic. Regional distribution will likely see dominance from North America and Europe, representing approximately 60-70% of the market share. However, developing markets in Asia and the Pacific Rim are projected to witness significant growth, driven by increased participation and sponsorship opportunities. Competitive landscapes include major Grand Slam tournaments and the WTA tour, as well as other significant women's tennis events contributing significantly to the overall revenue and viewership figures. This continued growth will require further investment in infrastructure, player development, and sustained marketing efforts to capture the broader global audience.

The Home of the U.S. Government's Open Data Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more.

yashraizada/yelp-open-dataset-business dataset hosted on Hugging Face and contributed by the HF Datasets community

US Open Prototype

## Overview

US Open Prototype is a dataset for object detection tasks - it contains Adidas annotations for 200 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

US Government’s open data website that allows users to find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations and more.

Contains roughly 1200 datasets from the VA Open Data catalog, as made available through the data.json. Excludes datasets that have no public downloads. Also includes a _failures.csv for download links that lead to 404 errors, for posterity. About Open Data (from site): Open data is VA data that is freely available to the public. It is a by-product of the work the VA does for Veterans, and is not personal data (names, addresses, birthplace, etc…). The idea of open data is that public data should be easily accessible and usable by anyone to create products like web or mobile apps, infographics, or stories - the sky is really the limit. For years, government data has made it possible for innovators and entrepreneurs to create products of value for the American people (if you have ever used a GPS you have benefited from one of these products). We want to keep this tradition going. Packed with experimental SciOp CLI Pack command.

During the 2023 U.S. Open, the average number of viewers dropped to ***********. The previous year had seen an uptake in viewership after the low figures recorded in 2020 and 2021, with Serena Williams playing her final match of her career at the 2022 edition of the tournament, exiting the tournament after a third round defeat.

Context

I collect recent tweets about Emma Raducanu, winner of women US Open 2021. The teen Brit with Romanian and Chinese parents, born in Canada and arrived in Great Britain at 2 years old, stormed the US event from qualifiers, playing 10 games without losing one single set (20 sets won in a row). She is the first British woman to win a Grand Slam since 1977 (Virginia Wade), the first women in US Open history to win the event from the qualifiers. She jumped more than 120 points in the ranking to land on 23rd position. She is also a very good student, landing A grades in mathematics and economy (her preferred domains) in her selective grammar school from south London.

https://ichef.bbci.co.uk/news/976/cpsprodpb/7561/production/_120494003_gettyimages-1339395950.jpg">

Data collection

The data is collected using tweepy Python package to access Twitter API. I use a relevant search term for the topic (#EmmaRaducanu).

Data collection frequency

The data is collected continuously using a script that collects a small number of recent tweets (using Twitter API and tweepy). The dataset obtained at each sampling time step is merged with current (or previously collected) dataset and stored dataset in csv format is saved on disk. Once or several times per day the currently accumulated dataset is uploaded on Kaggle as a new version of the tweets dataset.

Inspiration

You can perform multiple operations on the tweets about this British teen with meteoric ascension at US Open 2021. Here are few possible suggestions:

• Study the subjects of recent tweets about the new US Open champion or about tennis;
• Perform various NLP tasks on this data source (topic modelling, sentiment analysis);
• Can you identify tweets about tennis women, British athletes or US Open?
• Follow the trends in the news about tennis, US Open or Emma;
• Perform sentiment analysis on the tweets corpus but also split on topics, countries etc.
• Study the hashtags (associated to the tweets) distribution.

Market Analysis of Women's Tennis Open The Women's Tennis Open market is projected to reach a value of million by 2033, growing at a CAGR of over XX% during the forecast period of 2025-2033. This growth can be attributed to the increasing popularity of women's tennis, driven by factors such as greater media coverage, increased access to sporting facilities, and the emergence of role models for young girls. The market is also benefiting from the growing health and fitness consciousness among women, leading to increased participation in recreational tennis. Key market segments include applications such as sports industry, television broadcasting, and public welfare. Different types of tennis courts, including hard ground, grass, and red soil, cater to the diverse preferences of players and audiences. Prominent companies operating in this market include the International Tennis Federation, Women's Tennis Association, andrenowned tournaments such as the US Open, Roland Garros, and Wimbledon. North America and Europe are major markets for women's tennis, while Asia Pacific is emerging as a rapidly growing region due to the increasing popularity of the sport in countries like China and India.

City of Austin Open Data Contact Us City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq

This repository contains the largest COVID-19 epidemiological database available in addition to a powerful set of expansive covariates. It includes open sourced data with a permissive license (enabling commercial use) relating to vaccinations, epidemiology, hospitalizations, demographics, economy, geography, health, mobility, government response, weather, and more. Moreover, the data merges daily time-series from hundreds of data sources at a fine spatial resolution, containing over 20,000 locations and using a consistent set of region keys. This dataset is available in both the US and EU regions of BigQuery at the following links: COVID-19 Open Data: US Region COVID-19 Open Data: EU Region All data in this dataset is retrieved automatically. When possible, data is retrieved directly from the relevant authorities, like a country's ministry of health. This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .