{"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\/fi\/data-visualization-language\/","title":{"rendered":"Tietojen visualisointi: Visualisointi: Sinun on opittava t\u00e4m\u00e4 kieli!"},"content":{"rendered":"

Pitk\u00e4n aikaa tieteen tekeminen tarkoitti suuria oivalluksia luonnon mekanismeista. Kehityksen my\u00f6t\u00e4 tarve rekister\u00f6id\u00e4 esiintymi\u00e4 ja malleja vauhditti uusia analyysej\u00e4 ja monimutkaisia algoritmeja. Se teki tieteest\u00e4 kuitenkin my\u00f6s vain harvojen ihmisten tiedett\u00e4.<\/p>\n

Samanaikaisesti maailma py\u00f6ri eri suuntaan. Samaan aikaan kun internet sy\u00f6ksyi maailman loputtomaan p\u00e4ivittyv\u00e4\u00e4n verkkoon, tiede rakensi salaista asiantuntijakerhoaan.<\/p>\n

Vasta pari vuotta sitten tiedemiehet kokivat tarpeelliseksi paljastaa havaintonsa saadakseen suuren yleis\u00f6n tietoisuuteen.<\/p>\n

Ongelma oli, ett\u00e4 kuilu oli niin suuri, ett\u00e4 vain tiedemiehet kiinnostuivat tieteest\u00e4.
\nJa mik\u00e4 viel\u00e4 pahempaa, vain tiedemiehet ymm\u00e4rt\u00e4isiv\u00e4t tieteellist\u00e4 kielt\u00e4. Suurelle yleis\u00f6lle \"data\" oli merkitykset\u00f6n sana. Se oli selitt\u00e4m\u00e4t\u00f6nt\u00e4, tyhj\u00e4\u00e4 ja kaikin puolin tyls\u00e4\u00e4.<\/p>\n

 <\/p>\n

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

 <\/p>\n

Haaste oli suuri: miten saada ihmiset kiinnostumaan tieteest\u00e4?
\nVastaus oli selv\u00e4: ihmisten on ymm\u00e4rrett\u00e4v\u00e4 tieteellist\u00e4 kielt\u00e4.<\/p>\n

Tieteellinen kieli, josta puhumme, tunnetaan my\u00f6s nimell\u00e4 datan visualisointi.<\/p>\n

Tietojen visualisointi on tiedon visualisointia. Se tarkoittaa ty\u00f6si esitt\u00e4mist\u00e4 niin, ett\u00e4 muut ihmiset ymm\u00e4rt\u00e4v\u00e4t sen ja pystyv\u00e4t luomaan yhteyksi\u00e4. Kun t\u00e4m\u00e4 oli mieless\u00e4, seuraava askel oli selvitt\u00e4\u00e4, miten datan visualisointi onnistuu.<\/p>\n

 <\/p>\n

\"tietojen<\/p>\n

 <\/p>\n

Tietojen visualisointi tarkoittaa, ett\u00e4 olennainen tieto esitet\u00e4\u00e4n loogisesti ja kiinnostavasti. On t\u00e4rke\u00e4\u00e4 ymm\u00e4rt\u00e4\u00e4, ett\u00e4 henkil\u00f6lle, joka on aina puhunut tieteellist\u00e4 kielt\u00e4, datan visualisointi ei v\u00e4ltt\u00e4m\u00e4tt\u00e4 tule helposti.<\/p>\n

T\u00e4t\u00e4 varten tiede ja muotoilu ovat t\u00e4ydellinen pari.<\/p>\n

Kun tiede tarjoaa tietoa ja tavoitteen, muotoilu tarjoaa visuaalisen muodon ja tarinan. Yhdess\u00e4 ne tuottavat tietojen visualisointi sellaisena kuin sen pit\u00e4isi olla.<\/a><\/p>\n

Monet ihmiset sekoittavat ajatuksen datan visualisoinnista mink\u00e4 tahansa visuaalisen asian lis\u00e4\u00e4miseen. Voit kiert\u00e4\u00e4 t\u00e4m\u00e4n ongelman kysym\u00e4ll\u00e4 itselt\u00e4si: Mik\u00e4 on paras tapa esitt\u00e4\u00e4 tulokseni? Selitett\u00e4isiink\u00f6 ne parhaiten kuvituksen vai tekstin avulla? Ent\u00e4p\u00e4 infografiikalla? Vai graafilla?<\/p>\n

P\u00e4\u00e4t\u00f6ksenteko siit\u00e4, miten ty\u00f6st\u00e4 viestit\u00e4\u00e4n, on t\u00e4rke\u00e4 vaihe tietojen visualisoinnissa.
\nKun olet saanut sen tehty\u00e4, miten olisi\u00a0ottaa toinen askel?<\/a><\/p>\n

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

Pitk\u00e4n aikaa tieteen tekeminen tarkoitti suuria oivalluksia luonnon mekanismeista. Kehityksen my\u00f6t\u00e4 tarve rekister\u00f6id\u00e4 esiintymi\u00e4 ja malleja vauhditti uusia analyysej\u00e4 ja monimutkaisia algoritmeja. Se teki tieteest\u00e4 kuitenkin my\u00f6s vain harvojen ihmisten ty\u00f6t\u00e4. Samaan aikaan maailma py\u00f6ri eri suuntaan. Samalla kun internet sukelsi maailman [...]<\/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? People have to understand the scientific language.\u00a0We are talking about data visualization.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/fi\/sprak-for-datavisualisering\/\" \/>\n<meta property=\"og:locale\" content=\"fi_FI\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data visualization: You must learn this language! - Mind the Graph Blog\" \/>\n<meta property=\"og:description\" content=\"How to make people interested in science? 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He has a Ph.D. and solid scientific background in Psychopharmacology and experience as a Guest Researcher at the Max Planck Institute of Psychiatry (Germany) and Researcher in D'Or Institute for Research and Education (IDOR, Brazil). Fabricio holds over 2500 citations in Google Scholar. He has 10 years of experience in small innovative businesses, with relevant experience in product design and innovation management. Connect with him on LinkedIn - Fabricio Pamplona.","sameAs":["http:\/\/mindthegraph.com","https:\/\/www.linkedin.com\/in\/fabriciopamplona"],"url":"https:\/\/mindthegraph.com\/blog\/fi\/author\/fabricio\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/posts\/4947"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/comments?post=4947"}],"version-history":[{"count":15,"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/posts\/4947\/revisions"}],"predecessor-version":[{"id":6150,"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/posts\/4947\/revisions\/6150"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/media\/4948"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/media?parent=4947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/categories?post=4947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/fi\/wp-json\/wp\/v2\/tags?post=4947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}