{"id":11582,"date":"2013-04-22T08:27:05","date_gmt":"2013-04-22T08:27:05","guid":{"rendered":"http:\/\/www.EveryPicture.nl\/?p=3240"},"modified":"2021-07-22T11:56:11","modified_gmt":"2021-07-22T11:56:11","slug":"kennis-update-2","status":"publish","type":"post","link":"https:\/\/www.journalismlab.nl\/en\/kennis-update-2\/","title":{"rendered":"Kennis-update #2: Data Visualization: A Successful Design Process"},"content":{"rendered":"

The \u201ceight hats\u201d of data visualization<\/strong>
\n<\/span><\/span><\/p>\n

Boektitel:<\/i>\u00a0Data Visualization: A successful design process (2012)
\n<\/a><\/strong>Auteur:<\/i>\u00a0Andy Kirk<\/p>\n

Andy Kirk, is een freelance datavisualisatie consultant en tevens oprichter van het blog\u00a0visualisingdata.com.\u00a0Via ditzelfde blog is hij benaderd om een boek te schrijven over het maakproces van datavisualisatie. Het is een handzaam, leerzaam en praktisch boek, waaruit wij bepaalde delen extra willen uitlichten.<\/p>\n

Samenvatting
\n<\/b>Kirk stelt allereerst dat het belangrijk is om stil te staan bij het doel van de visualisatie. Wat is het gewenste effect en voor wie is het? Antwoorden hierop be\u00efnvloeden bepaalde ontwerpkeuzes aanzienlijk, maar helaas wordt hier niet altijd even goed bij stil gestaan.<\/p>\n

Kirk besteedt ook veel aandacht aan de gewenste\u00a0skills<\/i>, kennis en vaardigheden die benodigd zijn voor het maken van succesvolle datavisualisaties. In zijn boek onderscheidt hij acht verschillende rollen\/vaardigheden, welke hij noemt \u201cthe eight hats of data visualization\u201d (p. 48).<\/p>\n

The \u201ceight hats\u201d of data visualization design:<\/i><\/p>\n

    \n
  1. The initiator<\/b>: Iemand die in staat is om eindbeslissingen te nemen, een project kan sturen en \u00a0nadenkt over het doel en de doelgroep van de visualisatie.<\/li>\n
  2. The data scientist<\/b>: Iemand die kan werken met datasets en patronen en relaties hierin herkent.<\/li>\n
  3. The journalist<\/b>: De\u00a0storyteller<\/i>, iemand die in staat is een verhaal met een visualisatie te vertellen.<\/li>\n
  4. The computer scientist<\/b>: Iemand met de technische\u00a0know-how<\/i>, die kan werken met de juiste software.<\/li>\n
  5. The designer<\/b>: De creatieveling. Iemand met oog voor visuele details.<\/li>\n
  6. The cognitive scientist<\/b>: Iemand die nadenkt over de effectiviteit van de visualisatie, en theoretisch weet hoe het brein werkt en hoe bepaalde typen visualisaties worden verwerkt.<\/li>\n
  7. The communicator<\/b>: Iemand die in staat is om op verschillende niveaus te communiceren.<\/li>\n
  8. The project manager<\/b>: Iemand die oog heeft voor detail en goed is in het bewaken van een proces en planning.<\/li>\n<\/ol>\n

    Kirk stelt: \u201cTaking an analytical look at the range of required capabilities reveals a role and need for many types of people, which can of course be fulfilled by a number of people or just one\u201d (p. 48). Het is dus afhankelijk van de visualisatiemaker en zijn of haar multidisciplinaire skills, of meerdere experts benodigd zijn. Het visualiseren van data blijft \u201ca multidisciplinary recipe of art, science, math, technology and many other interesting ingredients\u201d (p. 1).<\/p>\n

    De meeste tijd gaat volgens Kirk zitten in het prepareren van data. \u201cDepending on the size and complexity of your data, and obviously your own capabilities, software like Excel, Tableau, or Google Refine (among plenty of others), will enable you to quickly scan, filter, sort, and search through your dataset to establish its state of quality. Er zijn dus hulpmiddelen, maar belangrijk gegeven blijft dat data gezien moet worden als ruw materiaal, als het belangrijkste ingredi\u00ebnt voor het creatieve recept.<\/p>\n

    Tot slot blijft datavisualisatie een iteratief proces, waarbij het belangrijk is dat men\u00a0open-minded<\/i>\u00a0en flexibel blijft. Het is niet goed als mensen zich aan bepaalde visualisatie-idee\u00ebn blijven vasthouden, wanneer bijvoorbeeld blijkt dat het anders beter kan. Datavisualisatie is en blijft een creatief proces.<\/p>\n

     <\/p>\n

     <\/p>","protected":false},"excerpt":{"rendered":"

    The \u201ceight hats\u201d of data visualization Boektitel:\u00a0Data Visualization: A successful design process (2012) Auteur:\u00a0Andy Kirk Andy Kirk, is een freelance datavisualisatie consultant en tevens oprichter van het blog\u00a0visualisingdata.com.\u00a0Via ditzelfde blog is hij benaderd om een boek te schrijven over het maakproces van datavisualisatie. Het is een handzaam, leerzaam en praktisch boek, waaruit wij bepaalde delen […]<\/p>","protected":false},"author":42,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[4346],"coauthors":[],"class_list":["post-11582","post","type-post","status-publish","format-standard","hentry","category-artikel","tag-productie"],"acf":[],"yoast_head":"\nJournalismlab – Kennis-update #2: Data Visualization: A Successful Design Process<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.journalismlab.nl\/en\/kennis-update-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Journalismlab – Kennis-update #2: Data Visualization: A Successful Design Process\" \/>\n<meta property=\"og:description\" content=\"The \u201ceight hats\u201d of data visualization Boektitel:\u00a0Data Visualization: A successful design process (2012) Auteur:\u00a0Andy Kirk Andy Kirk, is een freelance datavisualisatie consultant en tevens oprichter van het blog\u00a0visualisingdata.com.\u00a0Via ditzelfde blog is hij benaderd om een boek te schrijven over het maakproces van datavisualisatie. 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