{"id":21284,"date":"2024-06-19T11:19:36","date_gmt":"2024-06-19T15:19:36","guid":{"rendered":"https:\/\/dvsnightingstg.wpenginepowered.com\/?p=21284"},"modified":"2024-06-19T11:19:45","modified_gmt":"2024-06-19T15:19:45","slug":"from-data-to-yarn","status":"publish","type":"post","link":"https:\/\/nightingaledvs.com\/from-data-to-yarn\/","title":{"rendered":"From Data to Yarn: Crocheting the Russian Football League’s 2022\/23 Season"},"content":{"rendered":"\n

By the end of the second year of my Master’s program, my love for data journalism, crochet, and football resulted in an unusual project. I crocheted 16 figures of footballers, one look at which will give an idea of how the Russian Premier League (RPL) club spent the 2022\/23 season.<\/p>\n\n\n

\n
\"A
The dimensions of the stand are 60×270 cm and the height of the figures is 40 cm. Photo by Tina Berezhnaya<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n\n

How to understand it?<\/h2>\n\n\n\n

Imagine a table with various data of all RPL teams. Each indicator characterizes the club and its performance over the season (number of points, goals, dry matches, cards and so on).<\/p>\n\n\n\n

Now imagine a crocheted footballer doll dressed in the team’s uniform. <\/p>\n\n\n\n

Combining the two, you create a unique object that clearly shows the statistical metrics of the club. I designed sketches and then crocheted 16 of these footballers. Each of them can be interpreted using a legend or decoding scheme.<\/p>\n\n\n

\n
\"A
The scheme was made in Figma and it shows what and how metrics were encoded.<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n
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\"A
This is how it works together: the scheme and the doll. Photo by Tina Berezhnaya<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n\n

And the choice of colour and shape of the metrics is not random. It is based on the audience’s cultural code and association with the data. For example, a goal\u2014a leg\u2014a gaiter, a dry match\u2014a goalkeeper’s glove.<\/p>\n\n\n\n

Specific coding methods were selected for each figure and indicator, such as by rows, objects, or chains. For instance, one finger of the glove equals one match, and one loop of the shoelace equals the corresponding number of cards.<\/p>\n\n\n

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\"A
The view on the half of the installation. Photo by Tina Berezhnaya<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n\n

Special attention was also paid to legends, because each footballer is a dashboard that requires clarification. For this purpose, a card from the football simulation game FIFA was used and modernized. The familiar image fitted perfectly into the concept.<\/p>\n\n\n

\n
\"A
One of the team (author\u2019s fav) – PFC CSKA. Photo by Tina Berezhnaya<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n\n

This is how we got an object of data-art, where every detail not just has a meaning, but carries information that was saved up for almost a whole calendar year.<\/p>\n\n\n\n

Time and money<\/h2>\n\n\n\n

From conception to completion of the installation took more than a year. The active crochet phase amounted to six months of almost uninterrupted work. <\/p>\n\n\n

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Every haircut is a pie chart. Photo by Tina Berezhnaya<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n
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Almost Malevich\u2019s painting. Photo by Tina Berezhnaya<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n\n

In total, about 17,000 roubles (USD$190) were spent on materials for the items and stands, as well as photography. It\u2019s for about 40 pieces of yarn and many other things.<\/p>\n\n\n\n

The hardest part, except crocheting, was to encode all the data in the right way. I mean, the data should stay correct and every doll\u2019s piece should look normal at the same time. So it wasn\u2019t easy to make it all together, especially with shorts and gaiters. But in the end was found the best way for each part and metric.
I explained more about the basis of the choice of colors and shapes in the longread<\/a>. In the meantime, I am preparing for the defense of my work and presentation of the project to the commission at my university. Wish me luck in the comments and share your thoughts about my players!<\/p>\n\n\n\n

Supervised and photographed by Tina Berezhnaya<\/em><\/p>\n\n\n\n

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\n
\"The
The author with Moscow\u2019s part of teams<\/figcaption><\/figure>\n<\/div><\/div>\n\n\n\n
\n
\"\"
and with all 16 of them together. Photo by Tina Berezhnaya<\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n
Categories<\/span>Data Art<\/a><\/div>
Tags<\/div>Community<\/a>Data Art<\/a>Data Visualization<\/a><\/div>","protected":false},"excerpt":{"rendered":"

I crocheted 16 figures of footballers, one look at which will give an idea of how the Russian Premier League (RPL) club spent the 2022\/23 season.<\/p>\n","protected":false},"author":224,"featured_media":21291,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"bgseo_title":"","bgseo_description":"","bgseo_robots_index":"index","bgseo_robots_follow":"follow","cybocfi_hide_featured_image":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[53],"tags":[135,155,35],"class_list":["post-21284","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-art","tag-community","tag-data-art","tag-data-visualization"],"yoast_head":"\nFrom Data to Yarn: Crocheting the Russian Football League’s 2022\/23 Season | Nightingale<\/title>\n<meta name=\"description\" content=\"I crocheted 16 figures of footballers, one look at which will give an idea of how the Russian Premier League club spent the 22\/23 season.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nightingaledvs.com\/from-data-to-yarn\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Data to Yarn: Crocheting the Russian Football League's 2022\/23 Season - 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