Analyzing the story you can see

Data visualization can show a lot that one doesn’t have to read

(COSBY,Mo.) For my review of a IDV Story for Multimedia Storytelling, I am looking at Sporticos look at NFL games viewership numbers on television. This data is actually from 2021, but I find it interesting how they use data visualization to draw in attention. The NFL is a major project on television and I was always curious about how big the numbers can get throughout. So, this is the perfect example for my analysis post.

Taking a look at the aspects of journalism and everything else I believ they have done well. Starting out with the largest data representation chart that is most pro0minent in the “Top 100 Most Watched U.S. TV Broadcasts of 2021”. The color coding in the data helps realize what is not football in this. That is great for dissecting numbers for something that is related to one subject. Giving a network and team representation to give a look at which something be realized is also a helpful tool.

Taking a look at the second visualization table chart and what was done well with it regarding the same data. For this they were using emojis or smaller pictures to show what was what with the key at the bottom.

The footballs in different colors to variate on what kind of football was smart. The number of footballs that were present made this data very obvious into what message they were portraying on how much football owns the TV landscape.

For the date it was published after the turn of the year, this was a great timeliness trait that Sportico did will. This didn’t come out in 2023 or the year before in some kind of weird guessing way.

They don’t include exactly how they got a lot of these statistics for the charts. Who knows where these numbers could have came from or if they are even real. People would assume that these numbers would be real since they are being reported on by a large publisher, but sometimes people can make stuff up. This question from where the numbers came from can lay into the second graph with the emojis.

Although it does in tiny non noticeable print near the bottom that all of this came from Nielson ratings.

But after all, including all of this information in an easier to read chart along with the explanations from the main article itself make it a more effective article.