{"id":1841,"date":"2018-09-25T14:30:27","date_gmt":"2018-09-25T14:30:27","guid":{"rendered":"https:\/\/www.dimins.com\/no\/?p=1841"},"modified":"2018-09-26T08:59:33","modified_gmt":"2018-09-26T08:59:33","slug":"forbedre-visualisering-av-dine-data","status":"publish","type":"post","link":"https:\/\/www.dimins.com\/no\/2018\/09\/25\/forbedre-visualisering-av-dine-data\/","title":{"rendered":"Hvordan du kan forbedre visualiseringen av dine data"},"content":{"rendered":"

[et_pb_section fb_built=»1″ _builder_version=»3.0.47″][et_pb_row _builder_version=»3.0.48″ background_size=»initial» background_position=»top_left» background_repeat=»repeat»][et_pb_column type=»4_4″ _builder_version=»3.0.47″ parallax=»off» parallax_method=»on»][et_pb_text _builder_version=»3.11.1″]Form\u00e5let med visualisering er \u00e5 effektivt kommunisere informasjon. Dette vil man kunne gj\u00f8re p\u00e5 m\u00e5ter som trekker ut trender og m\u00f8nstre som ikke s\u00e5 lett kan ses ved \u00e5 bare se p\u00e5 talltabeller. Ideelt sett skal dette ogs\u00e5 v\u00e6re noe som er visuelt tiltrekkende. Du b\u00f8r f\u00e5 en positiv f\u00f8lelsesmessig respons n\u00e5r du ser p\u00e5 noen av disse visualiseringene og engasjere brukere, slik at de er villig til \u00e5 virkelig dykke ned for \u00e5 analysere data.<\/p>\n

I dette innlegget vurderes noen av Dimensional Insight sine Chart Portlet visualiseringer, for \u00e5 illustrere et bredt spekter av m\u00e5ter \u00e5 visualisere data p\u00e5. Jeg tror du vil se med alle de tilgjengelige alternativene, at det er enkelt \u00e5 kommunisere informasjon p\u00e5 en m\u00e5te som er b\u00e5de effektiv og behagelig for \u00f8yet.<\/p>\n

Diagramtyper<\/h2>\n

Her er en liste over noen forskjellige diagramtyper for visualisering av data.
\n[\/et_pb_text][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde1.png» _builder_version=»3.11.1″]
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Noen favoritter<\/strong><\/p>\n

La oss se p\u00e5 noen av v\u00e5re favoritter av ulike diagrammer, slik at du kan f\u00e5 en bedre forst\u00e5else for hvordan de kommuniserer informasjon.<\/p>\n

[\/et_pb_text][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde2.png» _builder_version=»3.11.1″]
\n[\/et_pb_image][et_pb_text _builder_version=»3.11.1″]Dette eksemplet viser b\u00e5de gjennomsnitt og median. Man kan klikke p\u00e5 et punkt, for \u00e5 navigere ned i detaljdata.
\n[\/et_pb_text][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde3.png» _builder_version=»3.11.1″]
\n[\/et_pb_image][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde4.png» _builder_version=»3.11.1″]
\n[\/et_pb_image][et_pb_text _builder_version=»3.11.1″]Vanligvis brukes b\u00e5de Lysestake-diagrammer og OHLC-diagrammer til \u00e5 vise \u00f8konomiske data. Lysestake-diagrammet bruker hvitt og svart for \u00e5 vise at en verdi g\u00e5r opp og ned. OHLC-diagrammet bruker gr\u00f8nt og r\u00f8dt til \u00e5 vise at en verdi g\u00e5r opp og ned. Grunnen til \u00e5 bruke en type fremfor en annen er et sp\u00f8rsm\u00e5l om personlig preferanse.
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Her er noe som kanskje er mer interessant. Dette diagrammet er spesialisert for transport industrien. Det viser sammenhenger mellom punkter i et transportsystem, slik at du kan f\u00e5 en id\u00e9 om rutesammenhenger. Hvis du markere en bue eller destinasjon, dukker det opp et informasjonsvindu som viser forskjellige type informasjon, eksempelvis antall turer som g\u00e5r frem og tilbake. I Arc-diagrammet er det mange visningsalternativer.<\/p>\n

[\/et_pb_text][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde6.png» _builder_version=»3.11.1″]
\n[\/et_pb_image][et_pb_text _builder_version=»3.11.1″]Waterfall diagrammet fungerer bra for \u00e5 spore en prosess over tid. Dette eksemplet viser en verdi som startet p\u00e5 null p\u00e5 mandag, og som gikk opp til nesten 40. S\u00e5 p\u00e5 tirsdag falt den (stolpen er r\u00f8d) helt ned til nesten negativ 20. P\u00e5 onsdag fortsatt den \u00e5 falle videre. P\u00e5 torsdag steg det. P\u00e5 fredag steg den igjen. P\u00e5 slutten av uken viser diagrammet en enkelt stolpe (bl\u00e5) hvor verdien endte. Waterfall diagrammet gir en detaljert m\u00e5te \u00e5 spore noe over tid \u2013 i dette tilfelle ned til dager.
\n[\/et_pb_text][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde7.png» _builder_version=»3.11.1″]
\n[\/et_pb_image][et_pb_text _builder_version=»3.11.1″]Dual Axis-diagram kan v\u00e6re greit \u00e5 bruke n\u00e5r du sammenligner to datasett eller to kolonneverdier som – selv om de ikke har samme skala – har vanlige m\u00f8nstre du vil se. Her ser vi p\u00e5 antall salg kontra omsetning. Selv om dataverdiene ikke er av samme st\u00f8rrelsesorden, er det visse m\u00f8nstre mellom de to som er verdt \u00e5 vurdere.
\n[\/et_pb_text][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde8.png» _builder_version=»3.11.1″]
\n[\/et_pb_image][et_pb_text _builder_version=»3.11.1″]Det finnes en rekke m\u00e5ter \u00e5 kombinere ulike diagram typer for \u00e5 analysere forholdet mellom to sett med data. Dette diagrammet kombinerer stolper og linjer samtidig, i tillegg til en dobbel akse.
\n[\/et_pb_text][et_pb_image src=»https:\/\/www.dimins.com\/no\/wp-content\/uploads\/sites\/23\/2018\/09\/Bilde9.png» _builder_version=»3.11.1″]
\n[\/et_pb_image][et_pb_text _builder_version=»3.11.1″]Dette MultiTab-diagrammet viser dimensjonen for salgsomr\u00e5det langs bunnen av diagrammet, og deretter produktfamilie-dimensjonen som unike farger. (Det er egentlig et diagram i et diagram.)
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Dette varmekartet viser dager i uken p\u00e5 den vertikale aksen og klokkeslett p\u00e5 den horisontale akse. Hver celle representerer \u00abon-time\u00bb prosentandelen av et bestemt transportsystem som analyseres. Det er ogs\u00e5 en skala til h\u00f8yre som viser at gr\u00f8nn er bra og r\u00f8d er d\u00e5rlig.<\/p>\n

Dette er bare et utdrag av hva som kan gj\u00f8res med de ulike diagramtyper. Bruk av riktig visualisering og diagramtyper kan gj\u00f8re det enkelt \u00e5 kommunisere informasjon p\u00e5 en m\u00e5te som er b\u00e5de effektiv og behagelig for \u00f8yet.<\/p>\n

Om du \u00f8nsker, kan du laste ned en eBook<\/a>\u00a0om visualisering for fremtidig referanse.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Form\u00e5let med visualisering er \u00e5 effektivt kommunisere informasjon. Dette vil man kunne gj\u00f8re p\u00e5 m\u00e5ter som trekker ut trender og m\u00f8nstre som ikke s\u00e5 lett kan ses ved \u00e5 bare se p\u00e5 talltabeller. Ideelt sett skal dette ogs\u00e5 v\u00e6re noe som er visuelt tiltrekkende. Du b\u00f8r f\u00e5 en positiv f\u00f8lelsesmessig respons n\u00e5r du ser p\u00e5 […]<\/p>\n","protected":false},"author":79,"featured_media":1855,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[505],"tags":[],"class_list":["post-1841","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence"],"yoast_head":"\nVisualisering I Hvordan du kan forbedre visualiseringen av dine data - DI Norway<\/title>\n<meta name=\"description\" content=\"Form\u00e5let med visualisering er \u00e5 kommunisere informasjon effektivt. 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