The National Football League comprises 32 teams from across the United States competing in two conferences split roughly by region. The NFL is one of the most popular professional sports leagues in the United States, with televised games attracting millions of viewers each week. This survey depicts the level of interest in the NFL in the United States, and it showed that 42 percent of Black respondents were avid fans of the NFL as of April 2023.

As of August 2023, around half of NFL fans aged 18-29 were white. Meanwhile, ** percent of NFL fans aged 30 or older were Black, while this figure stood at ** percent among those aged 18 to 29.

The National Football League comprises 32 teams from across the United States competing in two conferences split roughly by region. The NFL is one of the most popular professional sports leagues in the United States, with televised games attracting millions of viewers each week. An April 2025 survey found that 29 percent of Americans aged 55 and above considered the NFL to be their top interest.

NFL Players Performance and Salary

Uncover Trends, Make Predictions and Analyze Demographics

By Ben Jones [source]

About this dataset

This Kaggle dataset contains unique and fascinating insights into the 2018-2019 season of the NFL. It provides comprehensive data such as player #, position, height, weight, age, experience level in years, college attended and the team they are playing for. All these attributes can be used to expand on research within the NFL community. From uncovering demographics of individual teams to discovering correlations between players' salaries and performance - this dataset has endless possibilities for researchers to dive deeply into. Whether you are searching for predictions about future seasons or creating complex analyses using this data - it will give you a detailed view of the 2018-2019 season like never before! Explore why each team is special, who shone individually that year and what strategies could have been employed more efficiently throughout with this captivating collection of 2019-2018 NFL Players Stats & Salaries!

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How to use the dataset

• Get familiar with the characteristics of each column in our data set: Rk, Player, Pos, Tm, Cap Hit Player # , HT , WT Age , Exp College Team Rk Tm . Understanding these columns is key for further analysis since you can use each attribute for unique insights about NFL players' salaries and performance during this season. For example, HT (height) and WT (weight) are useful information if you want to study any correlations between player body types and their salaries or game performances. Another example would be Pos (position); it is a critical factor that determines how much a team pays its players for specific roles on the field such as quarterbacks or running backs etc.
• Use some visualizations on your data as it helps us better understand what we observe from statistical data points when placed into graphical forms like scatter plots or bar charts. Graphical representations are fantastic at helping us see correlations in our datasets; they let us draw conclusions quickly by comparing datasets side by side or juxtaposing various attributes together in order explore varying trends across different teams of players etc.. Additionally, you could also represent all 32 teams graphically according to their Cap Hits so that viewers can spot any outlier values quickly without having to scan a table full of numbers – map based visualizations come extremely handy here!
• Employ analytical techniques such as regular expression matching (RegEx) if needed; RegEx enables us detect patterns within text fields within your datasets making them exceptionally useful when trying discovering insights from large strings like college team name URLSs [for example] . This could potentially lead you towards deeper exploration into why certain franchises may have higher salaried players than others etc..
• Finally don't forget all mathematical tools available at your disposal; statistics involves sophisticated operations like proportions / ratios/ averages/ medians - be sure take advantage these basic math features because quite often they end up revealing dazzling new facets inside your datasets which help uncover more interesting connections & relationships between two separate entities such as how does height compare against drafted college etc..?

We hope these tips help those looking forward unlocking hidden gems hidden

Research Ideas

• Analyzing the impact of position on salaries: This dataset can be used to compare salaries across different positions and analyze the correlations between players’ performance, experience, and salaries.
• Predicting future NFL MVP candidates: By analyzing popular statistical categories such as passing yards, touchdowns, interceptions and rushing yards for individual players over several seasons, researchers could use this data to predict future NFL MVPs each season.
• Exploring team demographics: By looking into individual teams' player statistics such as age, height and weight distribution, researchers can analyze and compare demographic trends across the league or within a single team during any given season

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even co...

The share of 18 to 29 year olds who declared themselves casual fans of NFL increased from ** percent in 2021 to ** percent in 2023. Meanwhile, ********* of respondents from the same age group in 2023 stated that they were NFL fans.

In a September 2024 survey, ** percent of respondents in the United States who identified as NFL fans described themselves as occasional fans. Meanwhile, ** percent of respondents described themselves as diehard fans.

A January 2023 survey illustrated the average weekly viewership of National Football League games by respondents of different ethnicities in the United States. According to the survey, ** percent of Asian respondents stated that they spent between *** and **** hours a week following NFL games, whereas this figure amounted to ** percent for white survey participants. Meanwhile, ** percent of African American/Black and Latino respondents spent between *** and **** hours weekly watching football.

Fantasy Football Market Outlook

In 2023, the global fantasy football market size was valued at approximately USD 24.4 billion, and it is projected to reach USD 48.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.9%. This robust growth is driven by the increasing popularity of sports betting, the expansion of internet penetration, and the evolving digital landscape that has made fantasy sports more accessible to a global audience.

The burgeoning interest in fantasy football is significantly fueled by the thrill associated with virtual sports management and the competitive spirit it invokes among participants. The advent of high-speed internet and the proliferation of smartphones have considerably lowered entry barriers, enabling users from diverse demographics to engage with fantasy football platforms. Enhanced user interfaces and the strategic inclusion of real-time data and analytics have further enriched the user experience, making the game more immersive and engaging. Additionally, the growing partnerships between fantasy sports platforms and major sports leagues have enhanced the credibility and reach of the market.

Another crucial growth factor is the increasing monetization avenues within the fantasy football ecosystem. Platforms are leveraging ad revenues, subscription models, and in-app purchases to enhance their profitability. The introduction of innovative revenue streams like virtual goods, personalized content, and premium features provides substantial growth opportunities. Furthermore, the gamification of fantasy sports, including interactive features like social sharing and leaderboards, has significantly contributed to user retention and engagement.

Public perception and societal trends have also played a pivotal role in the market's growth. The cultural acceptance of fantasy sports as a mainstream activity has expanded its demographic reach beyond traditional sports enthusiasts. The integration of fantasy sports into mainstream media, including dedicated shows and podcasts, has increased visibility and user adoption. This cultural shift has also led to the formation of fantasy football communities, fostering a sense of camaraderie and collective enthusiasm.

American Football has played a pivotal role in the evolution of fantasy sports, particularly in North America, where the National Football League (NFL) stands as the most popular league for fantasy football. The deep-rooted passion for American Football among fans has translated into a robust fantasy football culture, with millions of participants engaging in both daily and season-long leagues. The NFL's extensive media coverage and the availability of detailed player statistics have made it an ideal sport for fantasy leagues, offering fans an opportunity to test their managerial skills and engage with the sport on a deeper level. This engagement is further amplified by the NFL's active promotion of fantasy football, which has helped to sustain and grow its fan base over the years.

From a regional perspective, North America continues to dominate the fantasy football market, driven by the high penetration of internet services and the strong sports culture in the region. The United States alone accounts for a significant portion of the market owing to the popularity of the National Football League (NFL). Meanwhile, Europe and the Asia Pacific are emerging as significant growth regions. The increasing popularity of soccer and the rising number of internet users in countries like India and China are expected to contribute to the market's expansion in these regions.

Platform Analysis

The fantasy football market is segmented into mobile applications and websites based on the platform. Mobile applications have revolutionized the fantasy sports experience by offering users the convenience of managing their teams on the go. The advent of sophisticated mobile apps with user-friendly interfaces, real-time updates, and interactive features has significantly enhanced user engagement. The integration of advanced analytics and personalized recommendations in mobile applications has made it easier for users to make informed decisions, thereby increasing user satisfaction and retention.

On the other hand, websites continue to be a popular platform among a segment of users who prefer a more detailed and expansive interface. Websites offer a broader range of features and functionalities compared to mobile applicatio

The National Football League (NFL) is a professional football league in the United States comprising 32 teams spread out over two conferences. As one of the biggest professional sports leagues in the country, it is no surprise that the NFL attracts fans from all walks of life. In a 2020 survey, it was found that ** percent of Los Angeles fans were Hispanic, while ** percent were Black.

Content

NFL Favorite Team

This folder contains data behind the story The Rams Are Dead To Me, So I Answered 3,352 Questions To Find A New NFL Team.

team-picking-categories.csv contains grades for each NFL franchise in 16 categories, to be used to pick a new favorite team.

Should be used in conjunction with weights derived from a survey structured like this: http://www.allourideas.org/nflteampickingsample.

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

In the 2023 NFL season, the average number of a "Thursday Night Football" (TNF) game exclusively available on Amazon Prime Video peaked at around ***** million in the U.S., up from **** million in the previous season. Younger audiences in particular tend to watch NFL games on streaming services. Among the age group 18 to 49 years, the viewership of TNF grew by around ******* between 2022 and 2023.

The NFL is one of the most popular professional sports leagues in the United States, with televised games attracting millions of viewers each week. As of April 2025, a survey determined that 26 percent of respondents in the United States considered the NFL to be their top interest.

Fantasy Sports Market Outlook

According to our latest research, the global fantasy sports market size reached USD 29.4 billion in 2024, reflecting robust growth driven by increasing digital adoption and the rising popularity of sports-based entertainment worldwide. The market is projected to grow at a CAGR of 13.7% from 2025 to 2033, reaching a forecasted value of USD 92.3 billion by 2033. This impressive expansion is fueled by technological advancements, growing smartphone penetration, and evolving consumer preferences for interactive and immersive experiences in sports engagement.

One of the primary growth factors for the fantasy sports market is the surge in internet connectivity and mobile device usage globally. With the proliferation of affordable smartphones and high-speed internet, users can now access fantasy sports platforms seamlessly, regardless of their location. This accessibility has democratized participation, enabling fans from diverse demographics to actively engage in fantasy leagues. Furthermore, the integration of real-time data analytics and AI-driven insights has enhanced user experience, making team selection, performance tracking, and in-game strategies more interactive and data-driven. This technological integration not only attracts seasoned sports enthusiasts but also draws in new users seeking an engaging and competitive environment.

Another significant driver is the increasing popularity of major sporting events and leagues, which has a direct positive impact on the fantasy sports ecosystem. Global events such as the FIFA World Cup, the Indian Premier League (IPL), the National Football League (NFL), and the NBA have witnessed exponential viewership, translating into higher user engagement on fantasy platforms. Brands and sponsors are leveraging this trend by partnering with fantasy sports companies to enhance fan engagement and brand visibility. Additionally, the gamification of sports through fantasy leagues allows users to test their knowledge, compete with peers, and win rewards, further incentivizing participation and boosting market growth.

The evolving regulatory landscape is also shaping the future of the fantasy sports market. Several countries are recognizing fantasy sports as a game of skill rather than chance, leading to favorable regulatory frameworks that encourage innovation and investment. This legal clarity has attracted significant venture capital and strategic partnerships, fostering the development of advanced platforms with enhanced security, transparency, and user trust. However, regulatory challenges persist in certain regions, necessitating ongoing dialogue between industry stakeholders and policymakers to ensure responsible growth and user protection.

From a regional perspective, North America continues to dominate the fantasy sports market, accounting for the largest share in 2024, followed by Asia Pacific and Europe. The North American market benefits from a mature sports culture, high digital literacy, and established leagues, while Asia Pacific is witnessing rapid growth due to its large, young population and increasing adoption of digital entertainment platforms. Europe is also emerging as a key market, driven by the popularity of football and cricket-based fantasy leagues. The Middle East & Africa and Latin America are gradually gaining traction, supported by improving internet infrastructure and rising interest in sports-based gaming.

Platform Analysis

The platform segment of the fantasy sports market is bifurcated into web-based and mobile-based platforms, each playing a pivotal role in shaping user engagement and market dynamics. Web-based platforms were the initial drivers of the fantasy sports industry, offering comprehensive interfaces and robust functionalities catering to desktop users. These platforms continue to attract a significant user base, particularly among older demographics and traditional fantasy sports enthusiasts who prefer detailed analytics, in-depth research tools, and multi-league management features. The web-based segment

IntroductionAs legalized sports betting becomes increasingly integrated into American sports culture—particularly within the NFL—concerns have emerged about how such practices influence fans’ emotional engagement, behavioral dependency, and moral judgment. This study investigates age-based variation in betting behaviors and identifies key predictors of media consumption, perceived dependency, and concern for others’ gambling habits.MethodsA cross-sectional online survey (N= 492) was administered in 2024 using snowball sampling to recruit NFL fans. Branching logic ensured that only those with direct sports betting experience completed all attitudinal questions. Fifteen Likert-scale items measured cognitive, behavioral, and emotional responses to betting. Exploratory factor analysis (EFA) identified latent constructs, and multiple regression models tested four research questions related to fan engagement, moral concern, dependency, and intervention attitudes.ResultsEFA revealed four dimensions: Personal Betting Habits, Betting-Driven Enjoyment, Concern for Others, and Perceived Social Addiction. Perceived obsession with betting was the only consistent and strong predictor of increased sports media engagement. Demographic factors such as age and gender were not significant predictors. Concern for others’ gambling behavior was only weakly related to personal dependency and confrontation attitudes.DiscussionFindings suggest a form of cognitive dissonance among sports bettors, who may recognize problematic behavior in others but refrain from acting on it, especially when they are highly engaged themselves. This study contributes a multidimensional model of betting-related engagement and highlights the need for improved psychometrics, stakeholder awareness, and future longitudinal research on the psychological complexities of sports gambling.

There are millions of sports fans across the United States, from those religiously following an NFL team to avid tennis fans or those who watch every Formula One Grand Prix. During an April 2023 survey in the United States, 44 percent of male respondents stated that they were avid sports fans. Meanwhile, this figure was just 15 percent among female respondents.

National Football League fans in the U.S.

Football is a widely enjoyed sport in the United States, as is evident from the millions of fans who tune in to watch their favorite teams compete every Monday night. The sport enjoys a diverse viewer demographic, with more than two thirds of white, Hispanic, and Black participants in an online survey identifying as either an avid or casual fan of football in January 2023. The survey also investigated the level of interest in the NFL in the U.S. broken down by gender, with a significantly larger share of men identifying as avid fans of the sport than women.

Women’s professional sports fans in the U.S.

Women’s professional sports viewership in the U.S. has grown significantly in recent years, helped at least partially by tournament victories across a wide range of sporting categories. When asked about the reason behind their interest in women’s sport in the U.S., nearly a third of respondents highlighted international events such as the Olympics and the FIFA World Cup as primary motivators for their interest. Meanwhile, when asked about the role of advertisers in promoting the growth of women’s sport in the U.S., more than half of survey participants believed that media agencies had a responsibility to do so.

In 2023, the greatest share of players by ethnic group in the National Football League (NFL) were black or African American athletes, constituting just over ** percent of players within the NFL. Despite the large population of Hispanic or Latino people within the United States, there is a substantial underrepresentation within the NFL, with only *** percent of players identifying as such. National Football League The National Football League (NFL) is a professional American football league that was established in 1920 and now consists of 32 clubs divided into two conferences, the National Football Conference (NFC) and the American Football Conference (AFC). The league culminates in the Super Bowl, the NFL's annual championship game. As the league’s championship game, the Super Bowl has grown into one of the world's largest single-day sporting events, attracting high television ratings and generating billions of dollars in consumer spending. NFL revenues The NFL is one of the most profitable sports leagues in the world, generating a staggering **** billion U.S. dollars in 2022. This total revenue of all ** NFL teams has constantly increased over the past 15 years and, although this figure dropped significantly in 2020, this was largely as a result of the impact of coronavirus (COVID-19) containment measures. This significant drop in revenue demonstrates one of the primary impacts of COVID-19 on professional sports leagues. NFL franchises As a result of this profitability in non-pandemic times, the franchises of the NFL are attributed extremely high market values. The Dallas Cowboys were by far the most valuable franchise in the NFL, with a market value of **** billion US dollars in 2023. The high value of NFL franchises can be seen clearly when compared to those of the NBA, MLB, and NHL. Franchises within the NFL had an average market value of approximately *** billion U.S. dollars in 2023.

Major US Sports Venues Usage and Affiliations

Team, League, Conference and Population Usage Records

By Homeland Infrastructure Foundation [source]

About this dataset

This dataset provides detailed information on major sport venues, along with their usage and affiliations. It includes data related to the National Association for Stock Car Auto Racing, Indy Racing League, Major League Soccer, Major League Baseball, National Basketball Association, Women's National Basketball Association, National Hockey League, National Football League, PGA Tour, NCAA Division 1 FBS Football, NCAA Division 1 Basketball and thoroughbred horse racing.* This dataset contains columns such as USE (which describes the type of use for the venue), TEAM (the team associated with the venue), LEAGUE (the league associated with the venue) , CONFERENCE (the conference associated with the venue), DIVISION (the division associated with the venue), INST_AFFIL(the institution affiliation associatedwith the venue), TRACK_TYPE(type of track at a specific point in time or over its complete life-cycle) as well as LENGTH_MILEGE ('length of track in milege') ROOF_TYPE(The type of roof covering used at a specific point in time or over its complete life-cycle) and plenty other variables. With this astounding range and quantity of data points -- spanning countries across different continents and leagues -- explore patterns in sports games you never even thought were possible!

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How to use the dataset

The MajorUS Sports Venues Usage and Affiliations dataset includes data on major sports venues from leagues including National Association for Stock Car Auto Racing (NASCAR), Indy Racing League (IRL), Major League Soccer (MLS), Major League Baseball (MLB), National Basketball Association (NBA), Women's National Basketball Association (WNBA), National Hockey League (NHL), National Football League(NFL), PGA Tour, NCAA Division 1 FBS Football, NCAA Division 1 Basketball, and thoroughbred horse racing. The columns provided include USE_, USE_POP, TEAM, LEAGUE,CONFERENCE,DIVISION ,INST_AFFIL,TRACK_TYPE. LENGTH_MI,ROOF_TYPESTADIUM_SH,`ADDDATAE , USEWEBSITE',and'COMMENTS'.

The `USE~ column specifies the type of usage of each venue at which point can be college athletics or professional athletics. The corresponding column to this is the ‘USE~POP’ which informs you about how many people are using each venue for a particular sport at a given time. For example if there were 6 NHL games being played that day then USE~ would say “professional Athletics” while USE~POP would state “NNN” reflecting there were NNN people spectating those events collectively: The next column is TEAM which represents what team sponsors or manages each venue or what teams will be playing in them.

 Following on from TEAM is LEAGUE; here you can find out what league each team represents such as MLB, NBA etc… The next three columns CONFERENCE/DIVISION/INST ~ AFFIL provide more specific details as they blur into collegiate level as well where CONFERENCE indicates which conference they belong within their respective division: while INST ~ AFFIL states its affiliated school body e.g.: Southeastern Conference > University of Arkansas Razorbacks . Rounding up our overview these last three columns TRACK ~ TYPE/LENGTH

Research Ideas

• Analyzing the affiliations and usage of different sports venues to determine which teams or leagues have the most presence across a certain geographic area.
• Comparing different stadiums within a given conference in terms of their roof type, track length, and stadium shape for optimal design features for new construction projects.
• Placing sponsorships or advertisements within each sporting arena based on audience size, league popularity, and team affiliation within a given conference or division

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contribut...

Sports Video Games Market Outlook

According to our latest research, the global sports video games market size reached USD 13.4 billion in 2024, reflecting a robust demand for interactive sports entertainment worldwide. The market is anticipated to expand at a CAGR of 8.2% from 2025 to 2033, resulting in a forecasted market size of USD 27.1 billion by 2033. This impressive growth trajectory is primarily driven by the increasing penetration of gaming consoles, the surge in mobile gaming adoption, and the integration of advanced technologies such as augmented reality and artificial intelligence, which are transforming the user experience and engagement levels within the sports video games industry.

One of the most significant growth factors for the sports video games market is the ongoing evolution of gaming technology and hardware. Gaming consoles and high-performance PCs have become more accessible and affordable, enabling a broader demographic to participate in immersive gaming experiences. The introduction of next-generation consoles, such as the PlayStation 5 and Xbox Series X, has set new standards for graphics, processing power, and gameplay realism, making sports video games more appealing than ever before. Additionally, the rise of cloud gaming services and cross-platform compatibility is eliminating barriers for gamers, further fueling the adoption of sports video games across different platforms. The proliferation of high-speed internet and advancements in graphics engines have also played a crucial role in enhancing the visual and interactive aspects of these games, making them more lifelike and engaging.

Another key driver for the sports video games market is the increasing popularity of eSports and online multiplayer modes. Competitive gaming has shifted from niche communities to mainstream entertainment, with sports video games like FIFA, NBA 2K, and Madden NFL hosting global tournaments that attract millions of viewers and participants. This trend has not only expanded the market's reach but also created new revenue streams through sponsorships, advertising, and in-game purchases. The ability to connect with friends and compete against players worldwide has elevated the social aspect of gaming, making it a primary form of recreation for many. Furthermore, sports video games are increasingly being used as a tool for fan engagement by professional sports leagues, providing fans with interactive experiences that extend beyond traditional viewership.

The mobile gaming revolution is also a substantial growth catalyst for the sports video games market. With the widespread adoption of smartphones and tablets, sports games have become more accessible to casual gamers and younger audiences. Mobile sports video games, often free-to-play with in-app purchases, have democratized access to gaming and introduced millions to the genre. Developers are leveraging advanced graphics, intuitive controls, and regular content updates to keep players engaged and drive monetization. The integration of social features and real-time multiplayer capabilities on mobile platforms has further enhanced user engagement, making mobile a critical segment in the overall growth of the sports video games market.

From a regional perspective, North America and Europe have traditionally dominated the sports video games market, driven by high console penetration, strong eSports culture, and established gaming infrastructure. However, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, increasing disposable incomes, and a young, tech-savvy population. Countries such as China, Japan, and South Korea are witnessing exponential growth in both console and mobile gaming segments. The region's burgeoning eSports ecosystem and the popularity of local sports have further contributed to the rising demand for sports video games. Latin America and the Middle East & Africa are also showing promising growth trajectories, albeit from a smaller base, as mobile gaming continues to break down traditional barriers to entry.

Game Type Analysis

The sports video games market is segmented by game type, including soccer, basketball, baseball, tennis, golf, racing, and others. Soccer games, led by franchises such as FIFA and Pro Evolution Soccer, account for the largest share of the market. The global appeal of soccer and its massive fan base have translated into consistently high sales figures and player engagement. Soccer

The National Football League (NFL) is a professional football league in the United States comprising ** teams spread out over two conferences. As one of the biggest professional sports leagues in the country, it is no surprise that the NFL attracts fans from all walks of life. In a 2020 survey, it was found that ** percent of Seattle Seahawks fans identified as Democrats, while ** percent were Republicans.

Context

For the professional sports leagues in the United States, MLB, MLS, NBA, NFL and NHL a dataset containing restaurants information around the teams stadiums/arenas.

About the Data

Date: 26/5/2021 The data has been obtained by using the Yelp Fusion API, requesting the information of restaurants in a 3000 meters (1.86 miles) radius centered in the teams stadiums/arenas. Yelp Fusion API only returns a max of 50 of business results per request, but it can be offset to return up to a maximum of 1000 businesses. The offset results were cleaned and merged with some of the team information in one single JSON file per team, per sport league.

The Jupyter notebooks used to download and merge the data can be found in this GitHub repository.

Content

For each franchise in the MLB, MLS, NBA, NFL and NHL, a JSON file (per team, per league) containing all (see caveats) the restaurants information in a 3000 meters (1.86 miles) radius around the team stadium. Two different sets of data (folders) are provided: 1. In the General folder, no category has been specified, thus resulting in all kind of restaurants in the 3000 meters radius around the stadiums. 2. In the Category, results for the following categories only: sports bars, pubs, wine bars and cocktail bars.

A typical JSON file contains the following information:

league: the sport league team: the name of the team stadium: the name of the stadium/arena stadium latitude: latitude of the stadium/arena stadium longitude: longitude of the stadium/arena radius: radius of the circle around the stadium/arena city: the city where the team is based state: US State where the city is. businesses: all the restaurants and their information found in the radius centered in the stadium latitude and longitude. - For each business: id: business/restaurant Yelp id alias: business/restaurant alias name: business/restaurant name image url: image of the business/restaurant
is closed: boolean indicating if the business/restaurant is closed (True) or not closed (False) url: business/restaurant webpage review_count: number of Yelp reviews categories: categories that the business/restaurant identifies itself rating: business/restaurant Yelp rating coordinates: business/restaurant location transactions: if business/restaurant delivers, pickup food, etc. price: Yelp price identification system using "$" location: business/restaurant address phone: business/restaurant phone number distance: business/restaurant distance from the Stadium/Arena coordinates.

absolute total: the total number of businesses (restaurants, food places, etc.) found inside the search radius total: the total number of businesses in the JSON file, up to 1000 (see caveats).

Caveats

1. The data is limited to Yelp results (so restaurants not registered on Yelp would not appear in the dataset).

2. Teams in the same city that share stadium/arena are treated as separated teams. So take in account and remove the duplicated city when doing any analysis.

3. Yelp Fusion API only returns up to a maximum of 1000 businesses, although it returns the value of the total amount of restaurants found. The total amount returned has been renamed to "absolute total" whilst the key "total" indicates the number of businesses included in the JSON file (up to 1000)

4. The dataset contains Yelp ratings, so be aware of the problems Yelp has with that when using it.

Inspiration

What kind of restaurants are closer to the Stadiums? What type of food/restaurants are the most popular? the most expensive? Which cities has the highest number of pubs or sport bars closer to their Stadiums/Arenas? For cities with teams in multiple sports leagues, how far are their Stadiums/Arenas from each other? What can we say about the restaurants near those Stadiums? Are, by average, more expensive the restaurants nearby the NFL team Stadium or the MLB one? If we bring demographics data in, What can we say about the (normalized) price comparison between restaurants from different cities?