By Aaron Schmidtke and Callum Haldenby
The link to our infographic can be found here.
The Objectives
Our project seeks to observe and analyze where the 32 National Hockey League (NHL) teams position themselves when it comes to fan attendance, fan experience, and Fan Cost Index. Fan Cost Index is a metric provided by Team Marketing Report, a Chicago-based sports business intelligence firm that formulates and publishes the numbers after conducting team surveys. Fan Cost Index is an attempt to express expenses from visiting one home game from a professional sports team (in this case, NHL) down to a single number. The Fan Cost Index metrics are based on the average cost of four non-premium tickets, two beers, two sodas, four hot dogs, two souvenir hats (as a proxy for merch buying) and parking. This helps us determine which NHL clubs are the most successful from an attendance standpoint as this information visualization will be focusing primarily on average home attendance, arena capacity, and the aforementioned Fan Cost Index. The main objectives we aim to communicate through this information visualization include making our insights on NHL in-arena experience accessible to the average hockey fan, developing a better understanding of the business aspects of professional sports franchises as well as a tool for NHL clubs’ management teams and ownership groups to evaluate.
The Data
Since our visualization project is centered around NHL in-arena experiences, we wanted to represent a number of different avenues available to analyze. There is a wide variety of different aspects that can affect arena attendance around the league including but not limited to: capacity of their entertainment sports plexes, the price of admission (or Fan Cost Index), who the visiting team is, the respective team’s performance during that particular season, time of game (matinee games versus evening games), and special event games (such as jersey retirement nights, bobblehead giveaway nights, etc). For gathering these data sources, we’re primarily looking at Statista as well as Team Marketing Report’s gathering of data translated by The Athletic. Statista is a recognizable and reliable source for market and consumer data as the leader in the provision of reliable business data. They deliver insights and facts across 170 industries in over 150 countries. The Athletic, owned by The New York Times Company, is one of the premier and credible sports publications since its inception in 2016. The Athletic, using data provided by Team Marketing Report, does some cleaning of initial data for us by translating the information into an easy-to-read board which we have continued to visualize in a digestible manner. Since Team Marketing Report’s establishment of Fan Cost Index, it has become the industry standard for gathering statistics for the cost of a family of four to attend a game at all MLB, NFL, NBA or NHL game venues. We feel confident that this data is appropriate and productive for us to represent our information visualization and facilitates the communication of important data points. Our data sources from Statista looking at average league attendance and respective Fan Cost Index scores courtesy of Team Marketing Report are both specific to the 2021-22 NHL campaign therefore equate to the same relevancy for that determined season. These datasets are not too convoluted nor exhaustive as we have a maximum of 32 franchises to evaluate. They were not, however, in an Excel or CSV format. Therefore we cleaned and organized the data into a proper CSV format before we are able to utilize it in Tableau.
Strengths and Weaknesses of Tools Used
The tools we used for this project included Canva, Tableau, and Google sheets. Canva is very simple and intuitive to use, and allowed us to create a simple yet visually appealing infographic for the purpose of telling the story related to our data, as it offered all the graphic design elements we needed (besides team logos). We were able to create graphs within the program itself, as it allows for data from a CSV file to be uploaded directly into its built-in graphing feature. Tableau allowed us to initially visualize how our data would look on our infographic, and while it can be visually appealing, we decided that since we wanted to be able to grab the attention of viewers with eye-grabbing visuals, canva would be the ideal platform to produce our final product on in the form of an infographic. Finally, google sheets was where we formed our datasets.
Analytic Steps
Since both of us went into this project with preexisting knowledge about all aspects of hockey, we were able to visualize ahead of time what kind of story the data would tell, as we understand the elements which significantly impact a team’s success in their market. For example, teams located in less traditional hockey markets depend heavily on overall team success as well as an engaging and satisfying fan experience to build a fanbase around, and this is reflected within our visualization with teams such as the Tampa Bay Lightning, the Nashville Predators, and the Vegas Golden Knights. These teams exemplify what franchises which aim to generate further interest in their markets should strive to be like. Finding and using the metric referred to as ‘fan cost index’ was especially helpful in expressing multiple key factors which play into the overall fan experience in a way which is easy to digest and understand by fans new and old alike. We decided that since we already knew what argument we were trying to get across that it would be more within the scope of our intentions to focus on visually communicating the data and evidence which was most important to determining a team’s ability to fill seats instead of representing every single team.
The Design Process and Principles
The overall design process began when we used tableau to initially visualize our data before we migrated to Canva to follow through with our final design. In terms of expressiveness, all information relevant to the narrative is graphed. The attendance levels for each franchise are presented on a common scale, and additionally, colour was used to differentiate between the average number of seats which are filled each game and the total number of seats in the arena; red represents the percentage filled, and green represents the percentage left empty. As for effectiveness, using said common scale was clearly the most effective channel we could have used, as doing so allows for viewers to make an easy visual comparison between the presented franchises. Utility is evident in the order in which we present the factors which play into some key takeaways that are presented on the final page of the infographic. The information flows in a manner which is easy for viewers to digest by first providing the informational framework upon which the graphs are based, then presenting the teams which have performed the best in recent years before delving into visual depictions of the data along with the aforementioned key takeaways at the end. We also ensure that the principle of soundness is utilized in that we don’t go overboard in terms of how much data is presented. We stick to the most noteworthy examples of teams which excel as well as teams which fall short in comparison to the rest of the league in terms of attendance, and supplement this data with some relevant information on the last page. Plenty of blank space is also accounted for to make sure that viewers will not be at risk of getting distracted by unnecessary visual aspects. Attractiveness is also taken into account throughout our infographic. The soft yet deep blue background allows for our consistent and uniform use of yellow text as well as team logos (even blue ones) to pop from the page in a visually satisfying manner. On the last page, we subvert the background and font colours with the intention of having the information presented on this page stand out from the rest, given that they are intended to be key takeaways. We also use pictorial graphics to help users visualize the three metrics we use in our evaluation and reserve their use for this aspect of the infographic alone to once again avoid overcrowding the pages.
The Story
Our infographic demonstrates several different categories that can be evaluated through the information that has been sourced. Firstly, we wanted to provide context as to why attendance statistics may be leaning a certain direction — we state our metrics that will be evaluated followed by a breakdown of Fan Cost Index, and then provide a baseline context of the best performing NHL teams in wins the last five seasons. Secondly, we want to actually visualize the information that we have been working with. We visualize the most attended teams as well as the least attended teams through a bar chart which integrates proper colour to be distinctive and represents clearcut data facilitating readability. Something important to note in both the most attended and least attended graphics is that some teams’ arenas have larger capacities than others, therefore we translated this into percent of capacity metric. The final story we are telling with our infographic is relating the aforementioned information to the Fan Cost Index which we provide six easy-to-understand metrics of best Fan Cost Index, worst Fan Cost Index, highest capacity arena, and relating team performance to Fan Cost Index and attendance records.
Pros and Cons
We believe that we have created an attractive and accessible infographic that avoids the spread of misinformation or misrepresented data. Soundness and utility were of utmost importance when crafting our initial ideas for what this infographic would include and we believe that was done effectively. At the forefront of our design principles was to make sure our infographic represented and applied both effectiveness and expressiveness. The importance of each of our attributes matches the saliency of our channels while our visual encoding expresses all of the information in the dataset attributes. Additionally, it was very important to us to demonstrate the information which each fan base and organization would find interesting to draw their own conclusions about the statistics with equal representation. We wanted to offer every avenue available for readers to interpret the information in any way they see fit with us simply showing them the facts in front of them derived from our sources.
Despite us both being fans of the Vancouver Canucks and Edmonton Oilers respectively, there was no inherent bias while piecing together our statistics and information and in fact, neither team came up at the top nor bottom of any category so their presence in our work is non-existent. A con, however, may be that our information is relatively limited in factoring in several situations. The first of which is COVID-19 which drastically affected professional sports teams revenue and undoubtedly attendance through those years (especially when sports plexes were operating at half capacity or no in-person fans) which could have skewed the average attendance metric slightly given the economy’s effect on teams and fans. Another factor that we could have considered more is an additional look at which teams actually have the highest revenues to determine whether the Fan Cost Index provides insight into that relation.
References:
“The Business of Hockey.” Forbes, 2022, www.forbes.com/nhl-valuations/list/#tab:overall. Accessed 19 October 2022.
Gough, Christina. “NHL teams average attendance 2021/22.” Statista, 2022, https://www.statista.com/statistics/193749/regular-season-home-attendance-of-national-hockey-league-teams-in-2010/. Accessed 18 October 2022.
Hartweg, Chris. “Fan Cost Index.” Team Marketing Report, 2022, https://teammarketing.com/fancostindex// Accessed 18 October 2022.
Ozanian, Mike. “NHL Team Values 2021: New York Rangers Become Hockey’s First $2 Billion Team.” Forbes, 2022, https://www.forbes.com/sites/mikeozanian/2021/12/08/nhl-team-values-2021-22-new-york-rangers-become-hockeys-first-2-billion-team/?sh=4275b9b5360c. Accessed 18 October 2022.
Shea, Bill. “Florida Panthers Remain The NHL’s Best Deal For Fans, But Others May Surprise You.” The Athletic, 2022. https://theathletic.com/3200274/2022/03/23/florida-panthers-remain-the-nhls-best-deal-for-fans-but-the-others-may-surprise-you/. Accessed 19 October 2022.
Hi guys!
Great work! I really liked how you detailed what you were evaluating and really set up the story by noting all the teams at the start of your infographic because it really made it easier for me to understand the narrative with the right context and anticipation of what was to come. I also really liked how you included a key takeaways page at the end that summed everything up.
For some constructive feedback, I think it was a little confusing on page 4 of your infographic because I couldn’t really understand what the comparison was since there was hardly any “actual attendance that was noticeable” especially given that most of the “arena capacity” was at 100% or more – this made me think if your scale was skewed. Perhaps it would have been better to emphasize the percentages not in a chart, but rather in an infographic that showed the numbers with text. Second, while I did like the addition of the takeaways, I didn’t really understand how the takeaways came to be. It felt like your story wasn’t completely finished, so it would be useful to have some text to explain why these metrics may be important and led to these conclusions.
Hi Aaron and Callum!
Great choice of topic to analyze! As a fan of the NHL myself, I really enjoyed reading about and analyzing the business side of hockey teams when it comes to fan experience, attendance, and cost index. 10/10 on choosing an engaging topic 🙂
Your blog greatly details what your step-by-step process was like when it came to your objectives, analysis, design process, and the story you wanted to highlight. I especially want to commend you guys for creating a video highlighting your infographics and key findings so that as readers we have a better grasp and knowledge of the content provided. Also in terms of the infographics, you two did a great job in keeping a consistent colour palette (blue-yellow contrast works well in differentiating foreground text to background) for your InfoVis, so that the colours were not all over the place with the additions of the diverse colours that come from team logos, and the visualizations were generally easy to follow. Great job!
A few things I wanted to mention in terms of aspects that can be improved (in two days) is first, in page 3, consider adding the names of the hockey teams under each logo for non-NHL or hockey fans. This way you can broaden your audience so that people outside of hockey can understand and enjoy your InfoVis. Second, and this kind of goes in hand with my first point, is for pages 4 and 5 I suggest adding logos at the very bottom of each bar (right above team names) so that we can easily a) visually be more engaged and b) analyze in a more efficient manner. Logos are easy to identify, and are far more distinguishable from text. Third, for page 5 I recommend maybe changing the colour of ’empty seats’ as right now it stays the same as the previous page of ‘actual attendance.’ Hence, I had initially been confused and I needed to look more carefully at the legend. Last but not least, I see right now that your link to the infographic directs me to the Canva editing page so publish your work asap before someone comes and ruins this hard work!!
In terms of further interesting developments you can pursue with this InfoVis is maybe opening doors for another popular team-sports league like the NBA or MLB and doing a competitive or side-by-side analysis? I think that would be super cool to read through. But overall, great work Aaron and Callum! Thanks for sharing your work with the rest of class.
Hello Team, great job!
This project is very fascinating, I’m not the biggest hockey fan but I appreciate the sport and am from Edmonton so it’s kind of required that I know who Connor McDavid is haha and I do own a jersey. The color scheme and icons in your infographic are eye catching, and the take-aways at the end are a good summary but also inspire the viewer to think deeper into the data set. The notes on the infograms that explain the manipulations that you did on the graphs and data are very useful. Nice touch with the youtube video.
A few things that could be improved just to build off what Nat and Nick said:
The relationships between most attended teams and top 8 teams could be elaborated on possibly? I am left flipping through both pages to see if the top 8 teams match up with the most attendance, as the quick takeaways come after the two graphs. Perhaps an infographic that compares the two? Like a bar chart with top teams on the x axis (top team->bottom team) and then attendance on the y axis (%).
And just to build on this a little more, since there are infographics on the 8 top teams and 8 most attended teams, I am wondering why there is no infographic for the 8 worst performing teams, to match the infographic for the 8 least attended teams.
For the page 4 infographic, “Actual attendance” might be a confusing term- because the rest of the graph are also showing actual attendance right? I think a better term would be over-capacity? The normalized data (arena seating percentage), gets a little confusing in conjunction with the arena capacity.
The colour schemes for the two graphs are also identical and the title implies that they are sibling graphs, but the metrics and labels are slightly different which also leaves room for confusion- I think either the metrics should be the same or the colours should be different. Right now the green represents both under-capacity and over-capacity.
Finally, an interesting development that could be the next step for this project, and possibly still doable would be look at take some of the findings you found and give an explanation for them, through data or otherwise. Also, a deeper dive into the city culture of the top teams and, if their high or low attendance translates to the other professional sports teams they host would be interesting!
Great Job again!
Side note: is overseating an arena the way Boston does not a fire hazard haha?