{"id":2996,"date":"2020-08-07T10:33:47","date_gmt":"2020-08-07T10:33:47","guid":{"rendered":"https:\/\/www-wordpress.dev.interreport.com\/no\/?p=2996"},"modified":"2025-06-18T07:50:34","modified_gmt":"2025-06-18T07:50:34","slug":"5-tiltak-for-a-fa-mer-ut-av-datavisualisering","status":"publish","type":"post","link":"https:\/\/www.dimins.com\/no\/2020\/08\/07\/5-tiltak-for-a-fa-mer-ut-av-datavisualisering\/","title":{"rendered":"5 tiltak for \u00e5 f\u00e5 mer ut av datavisualisering"},"content":{"rendered":"

[et_pb_section fb_built=»1″ _builder_version=»4.16″ global_colors_info=»{}»][et_pb_row _builder_version=»4.16″ background_size=»initial» background_position=»top_left» background_repeat=»repeat» global_colors_info=»{}»][et_pb_column type=»4_4″ _builder_version=»4.16″ custom_padding=»|||» global_colors_info=»{}» custom_padding__hover=»|||»][et_pb_text admin_label=»Innledning» _builder_version=»4.16″ vertical_offset_tablet=»0″ horizontal_offset_tablet=»0″ z_index_tablet=»0″ text_text_shadow_horizontal_length_tablet=»0px» text_text_shadow_vertical_length_tablet=»0px» text_text_shadow_blur_strength_tablet=»1px» link_text_shadow_horizontal_length_tablet=»0px» link_text_shadow_vertical_length_tablet=»0px» link_text_shadow_blur_strength_tablet=»1px» ul_text_shadow_horizontal_length_tablet=»0px» ul_text_shadow_vertical_length_tablet=»0px» ul_text_shadow_blur_strength_tablet=»1px» ol_text_shadow_horizontal_length_tablet=»0px» ol_text_shadow_vertical_length_tablet=»0px» ol_text_shadow_blur_strength_tablet=»1px» quote_text_shadow_horizontal_length_tablet=»0px» quote_text_shadow_vertical_length_tablet=»0px» quote_text_shadow_blur_strength_tablet=»1px» header_text_shadow_horizontal_length_tablet=»0px» header_text_shadow_vertical_length_tablet=»0px» header_text_shadow_blur_strength_tablet=»1px» header_2_text_shadow_horizontal_length_tablet=»0px» header_2_text_shadow_vertical_length_tablet=»0px» header_2_text_shadow_blur_strength_tablet=»1px» header_3_text_shadow_horizontal_length_tablet=»0px» header_3_text_shadow_vertical_length_tablet=»0px» header_3_text_shadow_blur_strength_tablet=»1px» header_4_text_shadow_horizontal_length_tablet=»0px» header_4_text_shadow_vertical_length_tablet=»0px» header_4_text_shadow_blur_strength_tablet=»1px» header_5_text_shadow_horizontal_length_tablet=»0px» header_5_text_shadow_vertical_length_tablet=»0px» header_5_text_shadow_blur_strength_tablet=»1px» header_6_text_shadow_horizontal_length_tablet=»0px» header_6_text_shadow_vertical_length_tablet=»0px» header_6_text_shadow_blur_strength_tablet=»1px» box_shadow_horizontal_tablet=»0px» box_shadow_vertical_tablet=»0px» box_shadow_blur_tablet=»40px» box_shadow_spread_tablet=»0px» global_colors_info=»{}»]<\/p>\n

Per definisjon handler datavisualisering om \u00e5 vise informasjon i et visuelt format. Folk blir ofte overveldet n\u00e5r de ser tall p\u00e5 et regneark eller som tekst i et dokument.<\/p>\n

Datavisualisering kan gj\u00f8re mer enn bare \u00e5 vise informasjonen. Det kan kontekstualisere dataene og gj\u00f8re det lettere \u00e5 forst\u00e5. Noen sp\u00f8r seg: «Hvorfor er datavisualisering viktig?» Noen kan til og med mene at det ikke er verdt \u00e5 forf\u00f8lge.<\/p>\n

N\u00e5r det gj\u00f8res riktig, kan datavisualisering imidlertid skape fordeler som kan v\u00e6re vanskelig eller umulig \u00e5 oppn\u00e5 p\u00e5 annen m\u00e5te. Her er fem ting du kan gj\u00f8re for \u00e5 maksimere nytten av datavisualisering.<\/p>\n

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[\/et_pb_text][et_pb_text admin_label=»1. Bestem hvilken historie dataene skal fortelle» _builder_version=»4.16″ vertical_offset_tablet=»0″ horizontal_offset_tablet=»0″ z_index_tablet=»0″ text_text_shadow_horizontal_length_tablet=»0px» text_text_shadow_vertical_length_tablet=»0px» text_text_shadow_blur_strength_tablet=»1px» link_text_shadow_horizontal_length_tablet=»0px» link_text_shadow_vertical_length_tablet=»0px» link_text_shadow_blur_strength_tablet=»1px» ul_text_shadow_horizontal_length_tablet=»0px» ul_text_shadow_vertical_length_tablet=»0px» ul_text_shadow_blur_strength_tablet=»1px» ol_text_shadow_horizontal_length_tablet=»0px» ol_text_shadow_vertical_length_tablet=»0px» ol_text_shadow_blur_strength_tablet=»1px» quote_text_shadow_horizontal_length_tablet=»0px» quote_text_shadow_vertical_length_tablet=»0px» quote_text_shadow_blur_strength_tablet=»1px» header_text_shadow_horizontal_length_tablet=»0px» header_text_shadow_vertical_length_tablet=»0px» header_text_shadow_blur_strength_tablet=»1px» header_2_text_shadow_horizontal_length_tablet=»0px» header_2_text_shadow_vertical_length_tablet=»0px» header_2_text_shadow_blur_strength_tablet=»1px» header_3_text_shadow_horizontal_length_tablet=»0px» header_3_text_shadow_vertical_length_tablet=»0px» header_3_text_shadow_blur_strength_tablet=»1px» header_4_text_shadow_horizontal_length_tablet=»0px» header_4_text_shadow_vertical_length_tablet=»0px» header_4_text_shadow_blur_strength_tablet=»1px» header_5_text_shadow_horizontal_length_tablet=»0px» header_5_text_shadow_vertical_length_tablet=»0px» header_5_text_shadow_blur_strength_tablet=»1px» header_6_text_shadow_horizontal_length_tablet=»0px» header_6_text_shadow_vertical_length_tablet=»0px» header_6_text_shadow_blur_strength_tablet=»1px» box_shadow_horizontal_tablet=»0px» box_shadow_vertical_tablet=»0px» box_shadow_blur_tablet=»40px» box_shadow_spread_tablet=»0px» global_colors_info=»{}»]<\/p>\n

1. Bestem hvilken historie dataene skal fortelle<\/h2>\n

De fleste som jobber med figurer, er kjent med \u00e5 sette dem inn i et grafikkdrevet format, men de vet kanskje ikke hvordan de skal bruke informasjonen de har til \u00e5 fortelle en historie. Fortellinger beskriver ikke bare et scenario, men det engasjerer mennesker og oppfordrer dem til \u00e5 komme med l\u00f8sninger.<\/p>\n

If\u00f8lge James Richardson, senior director analyst i Gartner, \u00abbegynner en datahistorie som en hvilken som helst annen historie, med en begynnelse og en midt. Slutten skal imidlertid aldri v\u00e6re en fast hendelse, men snarere et sett med alternativer eller sp\u00f8rsm\u00e5l<\/a> for \u00e5 utl\u00f8se en handling fra publikum. Glem aldri at m\u00e5let med en fortelling av data er \u00e5 oppmuntre og gi liv til kritisk tenkning for beslutninger.\u00bb<\/p>\n

\u00c5 fortelle en historie gjennom datavisualisering betyr ikke at folk setter sammen feil informasjon. I stedet presenterer de informasjonen p\u00e5 m\u00e5ter som hjelper publikum til \u00e5 forst\u00e5 den og f\u00f8le seg mer informert.<\/p>\n

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[\/et_pb_text][et_pb_text admin_label=»2. Gi en klar og minneverdig uttalelse» _builder_version=»4.16″ vertical_offset_tablet=»0″ horizontal_offset_tablet=»0″ z_index_tablet=»0″ text_text_shadow_horizontal_length_tablet=»0px» text_text_shadow_vertical_length_tablet=»0px» text_text_shadow_blur_strength_tablet=»1px» link_text_shadow_horizontal_length_tablet=»0px» link_text_shadow_vertical_length_tablet=»0px» link_text_shadow_blur_strength_tablet=»1px» ul_text_shadow_horizontal_length_tablet=»0px» ul_text_shadow_vertical_length_tablet=»0px» ul_text_shadow_blur_strength_tablet=»1px» ol_text_shadow_horizontal_length_tablet=»0px» ol_text_shadow_vertical_length_tablet=»0px» ol_text_shadow_blur_strength_tablet=»1px» quote_text_shadow_horizontal_length_tablet=»0px» quote_text_shadow_vertical_length_tablet=»0px» quote_text_shadow_blur_strength_tablet=»1px» header_text_shadow_horizontal_length_tablet=»0px» header_text_shadow_vertical_length_tablet=»0px» header_text_shadow_blur_strength_tablet=»1px» header_2_text_shadow_horizontal_length_tablet=»0px» header_2_text_shadow_vertical_length_tablet=»0px» header_2_text_shadow_blur_strength_tablet=»1px» header_3_text_shadow_horizontal_length_tablet=»0px» header_3_text_shadow_vertical_length_tablet=»0px» header_3_text_shadow_blur_strength_tablet=»1px» header_4_text_shadow_horizontal_length_tablet=»0px» header_4_text_shadow_vertical_length_tablet=»0px» header_4_text_shadow_blur_strength_tablet=»1px» header_5_text_shadow_horizontal_length_tablet=»0px» header_5_text_shadow_vertical_length_tablet=»0px» header_5_text_shadow_blur_strength_tablet=»1px» header_6_text_shadow_horizontal_length_tablet=»0px» header_6_text_shadow_vertical_length_tablet=»0px» header_6_text_shadow_blur_strength_tablet=»1px» box_shadow_horizontal_tablet=»0px» box_shadow_vertical_tablet=»0px» box_shadow_blur_tablet=»40px» box_shadow_spread_tablet=»0px» global_colors_info=»{}»]<\/p>\n

2. Gi en klar og minneverdig uttalelse<\/h2>\n

Noen av de beste datavisualiseringene er b\u00e5de fine og informative. Hvis folk skaper dem for \u00e5 fremme l\u00e6ring i en pedagogisk setting, for eksempel, kan de f\u00e5 mer ut av innsatsen ved \u00e5 formatere funnene p\u00e5 en fin, men likevel p\u00e5 en m\u00e5te som de kan relatere til.<\/p>\n

En god visualisering gir en klar uttalelse, samtidig som den inviterer deg inn til \u00e5 utforske dataene. Det er fortsatt mulig \u00e5 f\u00e5 til et fint resultat uten \u00e5 miste budskapet. En av fordelene med datavisualisering er at den kan kombinere kreativitet med harde fakta.<\/p>\n

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[\/et_pb_text][et_pb_text admin_label=»3. Kontroller n\u00f8yaktigheten til de presenterte dataene» _builder_version=»4.16″ vertical_offset_tablet=»0″ horizontal_offset_tablet=»0″ z_index_tablet=»0″ text_text_shadow_horizontal_length_tablet=»0px» text_text_shadow_vertical_length_tablet=»0px» text_text_shadow_blur_strength_tablet=»1px» link_text_shadow_horizontal_length_tablet=»0px» link_text_shadow_vertical_length_tablet=»0px» link_text_shadow_blur_strength_tablet=»1px» ul_text_shadow_horizontal_length_tablet=»0px» ul_text_shadow_vertical_length_tablet=»0px» ul_text_shadow_blur_strength_tablet=»1px» ol_text_shadow_horizontal_length_tablet=»0px» ol_text_shadow_vertical_length_tablet=»0px» ol_text_shadow_blur_strength_tablet=»1px» quote_text_shadow_horizontal_length_tablet=»0px» quote_text_shadow_vertical_length_tablet=»0px» quote_text_shadow_blur_strength_tablet=»1px» header_text_shadow_horizontal_length_tablet=»0px» header_text_shadow_vertical_length_tablet=»0px» header_text_shadow_blur_strength_tablet=»1px» header_2_text_shadow_horizontal_length_tablet=»0px» header_2_text_shadow_vertical_length_tablet=»0px» header_2_text_shadow_blur_strength_tablet=»1px» header_3_text_shadow_horizontal_length_tablet=»0px» header_3_text_shadow_vertical_length_tablet=»0px» header_3_text_shadow_blur_strength_tablet=»1px» header_4_text_shadow_horizontal_length_tablet=»0px» header_4_text_shadow_vertical_length_tablet=»0px» header_4_text_shadow_blur_strength_tablet=»1px» header_5_text_shadow_horizontal_length_tablet=»0px» header_5_text_shadow_vertical_length_tablet=»0px» header_5_text_shadow_blur_strength_tablet=»1px» header_6_text_shadow_horizontal_length_tablet=»0px» header_6_text_shadow_vertical_length_tablet=»0px» header_6_text_shadow_blur_strength_tablet=»1px» box_shadow_horizontal_tablet=»0px» box_shadow_vertical_tablet=»0px» box_shadow_blur_tablet=»40px» box_shadow_spread_tablet=»0px» global_colors_info=»{}»]<\/p>\n

3. Kontroller n\u00f8yaktigheten til de presenterte dataene<\/h2>\n

Organisasjoner bruker datavisualiseringer for \u00e5 overvinne problemer. Hvis en virksomhet for eksempel m\u00e5 overvinne en nedgang i forsyningskjeden, kan en datavisualisering hjelpe til med \u00e5 finne \u00e5rsaken. Uavhengig av grunnen til \u00e5 bruke denne metoden, m\u00e5 de sjekke at detaljene er n\u00f8yaktige.<\/p>\n

Ulike faktorer, inkludert d\u00e5rlige fargevalg, feil skaleringsmetoder og avvik fra standardpraksis, kan gj\u00f8re tallene misvisende. \u00c5 skape n\u00f8yaktige sammenligninger og tenke p\u00e5 leserens behov kan imidlertid gi de beste resultatene.<\/p>\n

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[\/et_pb_text][et_pb_text _builder_version=»4.16″ vertical_offset_tablet=»0″ horizontal_offset_tablet=»0″ z_index_tablet=»0″ text_text_shadow_horizontal_length_tablet=»0px» text_text_shadow_vertical_length_tablet=»0px» text_text_shadow_blur_strength_tablet=»1px» link_text_shadow_horizontal_length_tablet=»0px» link_text_shadow_vertical_length_tablet=»0px» link_text_shadow_blur_strength_tablet=»1px» ul_text_shadow_horizontal_length_tablet=»0px» ul_text_shadow_vertical_length_tablet=»0px» ul_text_shadow_blur_strength_tablet=»1px» ol_text_shadow_horizontal_length_tablet=»0px» ol_text_shadow_vertical_length_tablet=»0px» ol_text_shadow_blur_strength_tablet=»1px» quote_text_shadow_horizontal_length_tablet=»0px» quote_text_shadow_vertical_length_tablet=»0px» quote_text_shadow_blur_strength_tablet=»1px» header_text_shadow_horizontal_length_tablet=»0px» header_text_shadow_vertical_length_tablet=»0px» header_text_shadow_blur_strength_tablet=»1px» header_2_text_shadow_horizontal_length_tablet=»0px» header_2_text_shadow_vertical_length_tablet=»0px» header_2_text_shadow_blur_strength_tablet=»1px» header_3_text_shadow_horizontal_length_tablet=»0px» header_3_text_shadow_vertical_length_tablet=»0px» header_3_text_shadow_blur_strength_tablet=»1px» header_4_text_shadow_horizontal_length_tablet=»0px» header_4_text_shadow_vertical_length_tablet=»0px» header_4_text_shadow_blur_strength_tablet=»1px» header_5_text_shadow_horizontal_length_tablet=»0px» header_5_text_shadow_vertical_length_tablet=»0px» header_5_text_shadow_blur_strength_tablet=»1px» header_6_text_shadow_horizontal_length_tablet=»0px» header_6_text_shadow_vertical_length_tablet=»0px» header_6_text_shadow_blur_strength_tablet=»1px» box_shadow_horizontal_tablet=»0px» box_shadow_vertical_tablet=»0px» box_shadow_blur_tablet=»40px» box_shadow_spread_tablet=»0px» global_colors_info=»{}»]<\/p>\n

4. Velg riktig visualiseringstype<\/h2>\n

Datavisualisering kan virke enkelt, men mange er ikke klar over at de trenger \u00e5 velge riktig type grafikk for \u00e5 st\u00f8tte sine m\u00e5l.<\/p>\n

For eksempel fungerer b\u00e5de kulediagram og fossefall diagram for \u00e5 vise fremgang mot et m\u00e5l. I motsetning, er s\u00f8ylediagrammer ideelle for \u00e5 sammenligne et enkelt m\u00e5l p\u00e5 flere kategorier.<\/p>\n

Det er viktig at selskaper velger riktig type visualisering og sikrer seg at det hjelper folk \u00e5 trekke de riktige konklusjonene.<\/p>\n

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[\/et_pb_text][et_pb_text admin_label=»5. V\u00e6r \u00e5pen for \u00e5 bruke f\u00e6rre datapunkter» _builder_version=»4.16″ vertical_offset_tablet=»0″ horizontal_offset_tablet=»0″ z_index_tablet=»0″ text_text_shadow_horizontal_length_tablet=»0px» text_text_shadow_vertical_length_tablet=»0px» text_text_shadow_blur_strength_tablet=»1px» link_text_shadow_horizontal_length_tablet=»0px» link_text_shadow_vertical_length_tablet=»0px» link_text_shadow_blur_strength_tablet=»1px» ul_text_shadow_horizontal_length_tablet=»0px» ul_text_shadow_vertical_length_tablet=»0px» ul_text_shadow_blur_strength_tablet=»1px» ol_text_shadow_horizontal_length_tablet=»0px» ol_text_shadow_vertical_length_tablet=»0px» ol_text_shadow_blur_strength_tablet=»1px» quote_text_shadow_horizontal_length_tablet=»0px» quote_text_shadow_vertical_length_tablet=»0px» quote_text_shadow_blur_strength_tablet=»1px» header_text_shadow_horizontal_length_tablet=»0px» header_text_shadow_vertical_length_tablet=»0px» header_text_shadow_blur_strength_tablet=»1px» header_2_text_shadow_horizontal_length_tablet=»0px» header_2_text_shadow_vertical_length_tablet=»0px» header_2_text_shadow_blur_strength_tablet=»1px» header_3_text_shadow_horizontal_length_tablet=»0px» header_3_text_shadow_vertical_length_tablet=»0px» header_3_text_shadow_blur_strength_tablet=»1px» header_4_text_shadow_horizontal_length_tablet=»0px» header_4_text_shadow_vertical_length_tablet=»0px» header_4_text_shadow_blur_strength_tablet=»1px» header_5_text_shadow_horizontal_length_tablet=»0px» header_5_text_shadow_vertical_length_tablet=»0px» header_5_text_shadow_blur_strength_tablet=»1px» header_6_text_shadow_horizontal_length_tablet=»0px» header_6_text_shadow_vertical_length_tablet=»0px» header_6_text_shadow_blur_strength_tablet=»1px» box_shadow_horizontal_tablet=»0px» box_shadow_vertical_tablet=»0px» box_shadow_blur_tablet=»40px» box_shadow_spread_tablet=»0px» global_colors_info=»{}»]<\/p>\n

5. V\u00e6r \u00e5pen for \u00e5 bruke f\u00e6rre datapunkter<\/h2>\n

Mange nettsider svarer p\u00e5 det viktige sp\u00f8rsm\u00e5let «Hvorfor er datavisualisering viktig?», men flere glemmer \u00e5 si ifra til leserne at det ikke alltid er best \u00e5 bruke hvert eneste datapunkt tilgjengelig. Hvis for eksempel et multinasjonalt drikkevareselskap bruker et kakediagram for \u00e5 vise salgsprosent for 75 land, kan utfallet se overveldende ut, spesielt n\u00e5r noen nasjoner bare best\u00e5r av mange sm\u00e5 deler.<\/p>\n

Imidlertid er ett alternativ \u00e5 vise topp 10-15 land og deretter gruppere resten i en enkelt kategori kalt «Annet.» Om n\u00f8dvendig kan bedrifter lage flere grafer for \u00e5 drille ned inn i resultatene for nasjonene i den divisjonen.<\/p>\n

En mulighet er \u00e5 kun distribuere salgsprosenter for hvert land til de ansatte tilknyttet de landene. \u00c5 vise alle prosentene p\u00e5 en gang for alle, kan vise seg \u00e5 v\u00e6re for mye \u00e5 ford\u00f8ye. <\/p>\n

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[\/et_pb_text][et_pb_text admin_label=»Riktig presentasjon gir ideelle resultater» _builder_version=»4.16″ vertical_offset_tablet=»0″ horizontal_offset_tablet=»0″ z_index_tablet=»0″ text_text_shadow_horizontal_length_tablet=»0px» text_text_shadow_vertical_length_tablet=»0px» text_text_shadow_blur_strength_tablet=»1px» link_text_shadow_horizontal_length_tablet=»0px» link_text_shadow_vertical_length_tablet=»0px» link_text_shadow_blur_strength_tablet=»1px» ul_text_shadow_horizontal_length_tablet=»0px» ul_text_shadow_vertical_length_tablet=»0px» ul_text_shadow_blur_strength_tablet=»1px» ol_text_shadow_horizontal_length_tablet=»0px» ol_text_shadow_vertical_length_tablet=»0px» ol_text_shadow_blur_strength_tablet=»1px» quote_text_shadow_horizontal_length_tablet=»0px» quote_text_shadow_vertical_length_tablet=»0px» quote_text_shadow_blur_strength_tablet=»1px» header_text_shadow_horizontal_length_tablet=»0px» header_text_shadow_vertical_length_tablet=»0px» header_text_shadow_blur_strength_tablet=»1px» header_2_text_shadow_horizontal_length_tablet=»0px» header_2_text_shadow_vertical_length_tablet=»0px» header_2_text_shadow_blur_strength_tablet=»1px» header_3_text_shadow_horizontal_length_tablet=»0px» header_3_text_shadow_vertical_length_tablet=»0px» header_3_text_shadow_blur_strength_tablet=»1px» header_4_text_shadow_horizontal_length_tablet=»0px» header_4_text_shadow_vertical_length_tablet=»0px» header_4_text_shadow_blur_strength_tablet=»1px» header_5_text_shadow_horizontal_length_tablet=»0px» header_5_text_shadow_vertical_length_tablet=»0px» header_5_text_shadow_blur_strength_tablet=»1px» header_6_text_shadow_horizontal_length_tablet=»0px» header_6_text_shadow_vertical_length_tablet=»0px» header_6_text_shadow_blur_strength_tablet=»1px» box_shadow_horizontal_tablet=»0px» box_shadow_vertical_tablet=»0px» box_shadow_blur_tablet=»40px» box_shadow_spread_tablet=»0px» global_colors_info=»{}»]<\/p>\n

Riktig presentasjon gir ideelle resultater<\/h2>\n

Fordelene med datavisualisering er rikelig, og bedriftseiere b\u00f8r v\u00e6re ivrige etter \u00e5 utnytte dem. Imidlertid, som disse tipsene viser, kan spesifikke datavisualiseringsstrategier gj\u00f8re resultatene enda mer imponerende.<\/p>\n

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Per definisjon handler datavisualisering om \u00e5 vise informasjon i et visuelt format. Folk blir ofte overveldet n\u00e5r de ser tall p\u00e5 et regneark eller som tekst i et dokument.Datavisualisering kan gj\u00f8re mer enn bare \u00e5 vise informasjonen. Det kan kontekstualisere dataene og gj\u00f8re det lettere \u00e5 forst\u00e5. Noen sp\u00f8r seg: «Hvorfor er datavisualisering viktig?» Noen […]<\/p>\n","protected":false},"author":79,"featured_media":2995,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[505,2262],"tags":[2256,2257],"class_list":["post-2996","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence","category-datavisualisering","tag-data","tag-visualisering"],"yoast_head":"\n5 tiltak for \u00e5 f\u00e5 mer ut av datavisualisering - DI Norway<\/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.dimins.com\/no\/2020\/08\/07\/5-tiltak-for-a-fa-mer-ut-av-datavisualisering\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"5 tiltak for \u00e5 f\u00e5 mer ut av datavisualisering\" \/>\n<meta property=\"og:description\" content=\"Per definisjon handler datavisualisering om \u00e5 vise informasjon i et visuelt format. Folk blir ofte overveldet n\u00e5r de ser tall p\u00e5 et regneark eller som tekst i et dokument.Datavisualisering kan gj\u00f8re mer enn bare \u00e5 vise informasjonen. Det kan kontekstualisere dataene og gj\u00f8re det lettere \u00e5 forst\u00e5. Noen sp\u00f8r seg: "Hvorfor er datavisualisering viktig?" Noen […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.dimins.com\/no\/2020\/08\/07\/5-tiltak-for-a-fa-mer-ut-av-datavisualisering\/\" \/>\n<meta property=\"og:site_name\" content=\"DI Norway\" \/>\n<meta property=\"article:published_time\" content=\"2020-08-07T10:33:47+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-18T07:50:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2020\/08\/AdobeStock_127542029-scaled.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1702\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Tonje I. Hanssen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet av\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tonje I. 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