{"id":4947,"date":"2016-01-21T14:30:39","date_gmt":"2016-01-21T16:30:39","guid":{"rendered":"https:\/\/blog.mindthegraph.com\/?p=4947"},"modified":"2022-10-18T08:24:41","modified_gmt":"2022-10-18T11:24:41","slug":"data-visualization-language","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/da\/data-visualiserings-sprog\/","title":{"rendered":"Visualisering af data: Du skal l\u00e6re dette sprog!"},"content":{"rendered":"

I lang tid bet\u00f8d videnskab at have stor indsigt i naturens mekanismer. Efterh\u00e5nden som den udviklede sig, satte behovet for at registrere forekomster og m\u00f8nstre skub i nye analyser og komplekse algoritmer. Men det gjorde ogs\u00e5, at videnskab kun var for nogle f\u00e5 mennesker.<\/p>\n

Parallelt hermed drejede verden i en anden retning. Mens internettet kastede verden ud i et endel\u00f8st opdateret net, opbyggede videnskaben sin hemmelige klub af specialister.<\/p>\n

Det er kun et par \u00e5r siden, at forskere f\u00f8lte sig n\u00f8dsaget til at offentligg\u00f8re deres resultater for at n\u00e5 ud til den brede offentlighed.<\/p>\n

Problemet var, at kl\u00f8ften var s\u00e5 stor, at kun videnskabsfolk ville interessere sig for videnskab.
\nOg endnu v\u00e6rre var det, at kun forskere forstod det videnskabelige sprog. For den brede offentlighed var \"data\" et meningsl\u00f8st ord. Det var uansvarligt, tomt og p\u00e5 alle m\u00e5der kedeligt.<\/p>\n

 <\/p>\n

\"datavisualisering\"<\/a><\/p>\n

 <\/p>\n

Udfordringen var stor: Hvordan f\u00e5r man folk til at interessere sig for videnskab?
\nOg svaret var klart: Folk er n\u00f8dt til at forst\u00e5 det videnskabelige sprog.<\/p>\n

Det videnskabelige sprog, vi taler om, er ogs\u00e5 kendt som datavisualisering.<\/p>\n

Datavisualisering er at g\u00f8re information visuel. Det betyder, at man pr\u00e6senterer sit arbejde p\u00e5 en m\u00e5de, s\u00e5 andre mennesker kan forst\u00e5 det og skabe forbindelser. Med det i tankerne var det n\u00e6ste skridt at finde ud af, hvordan man laver datavisualisering med succes.<\/p>\n

 <\/p>\n

\"datavisualisering\"<\/p>\n

 <\/p>\n

At lave datavisualisering med succes er at pr\u00e6sentere relevant information p\u00e5 en logisk og engagerende m\u00e5de. Det er vigtigt at indse, at for en person, der altid har talt det videnskabelige sprog, kommer datavisualisering m\u00e5ske ikke let.<\/p>\n

Til det form\u00e5l udg\u00f8r videnskab og design et perfekt par.<\/p>\n

Mens videnskab giver information og et m\u00e5l, giver design visuel form og en historie. Kombineret leverer de datavisualisering, som det burde v\u00e6re.<\/a><\/p>\n

Mange mennesker blander ideen om datavisualisering sammen med at tilf\u00f8je noget visuelt materiale. Du kan omg\u00e5 dette problem ved at sp\u00f8rge dig selv: Hvad er den bedste m\u00e5de at pr\u00e6sentere mine resultater p\u00e5? Vil de blive bedst forklaret ved hj\u00e6lp af en illustration eller en tekst? Hvad med en infografik? Eller en graf?<\/p>\n

At beslutte, hvordan man kommunikerer sit arbejde, er et vigtigt skridt inden for datavisualisering.
\nN\u00e5r du har gjort det, hvad s\u00e5 med\u00a0at tage det andet skridt?<\/a><\/p>\n

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

I lang tid bet\u00f8d videnskab at have stor indsigt i naturens mekanismer. Efterh\u00e5nden som den udviklede sig, satte behovet for at registrere forekomster og m\u00f8nstre skub i nye analyser og komplekse algoritmer. Men det gjorde ogs\u00e5, at videnskab kun var for nogle f\u00e5 mennesker. Sidel\u00f8bende drejede verden i en anden retning. Mens internettet kastede verden [...]<\/p>","protected":false},"author":4,"featured_media":4948,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"image","meta":[],"categories":[193],"tags":[77,194,964,775],"yoast_head":"\nData visualization: You must learn this language! - Mind the Graph Blog<\/title>\n<meta name=\"description\" content=\"How to make people interested in science? 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