miun.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Analytical Data Visualization for Open Data: Using Sundsvall Municipality Public Data
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem. Dohi Innovation Agency AB.
2015 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

To guarantee the well-functioning of modern societies, it is essential to ensure thatcitizens are aware of their environment as well as the government's actions andperformance. Therefor citizens need to have access to data collected by publicbodies from the activities within their society. However, these data may not easilyand instantly be perceivable by people. To release the potential of these data,which lead to improving the lives of citizen, the data need to analyzed, enhancedand eventually visualized, so the outcome would be usable to all regardless theirage and education. In this project, we propose, design, implement, and evaluate aninteractive analytical visualization framework for open-data. To achieve our purpose,the recent open data-sets from Sundsvall Municipality has been used as bothour case-study and demonstration sample. The solution has been design and builtbased on a set of requirements and principles we suggested for an ideal solution.The offered solution in this project enables users to analyze data by interactingwith the visualization graphics. The solution let the user extract information andfacts from large data-sets, and correlate different property of data by applying filtersand categorizing data, and see the result instantly. Standard web technologieswere used to implement the solution, namely HTML5, JavaScript, and SVGgraphics, which made the system to be cross-platform and high-performing. Tohandle the big-data, we enhance the data-set before-hand by performing aggregateoperations using Map-Reduce and parallel computing algorithms (i.e. Java-8 parallelstreams), and the further computation is implemented in JavaScript, and processedat the client-side.

sted, utgiver, år, opplag, sider
2015. , s. 54
Emneord [en]
Open-Data, Data Visualization, Vector Graphics, Java, JavaScript, HTML5, GeoJSON, Usability.
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-25866OAI: oai:DiVA.org:miun-25866DiVA, id: diva2:853761
Fag / kurs
Computer Engineering DT1
Utdanningsprogram
International Bachelor's Programme in Computer Engineering TDKAG 180 higher education credits
Presentation
2015-06-12, L408, Holmgatan 10, Sundsvall, 09:15 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2015-09-18 Laget: 2015-09-15 Sist oppdatert: 2018-01-11bibliografisk kontrollert

Open Access i DiVA

fulltext(2055 kB)185 nedlastinger
Filinformasjon
Fil FULLTEXT02.pdfFilstørrelse 2055 kBChecksum SHA-512
6d2b24c5079d2631404a945d8e62053478a042aa25f208b02641da22e516f573b17496c057d6e107c65842c0e39d8247128937c2991f1d519cbfd8658ebba983
Type fulltextMimetype application/pdf

Søk i DiVA

Av forfatter/redaktør
Tirgar, Mehdi
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 185 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 469 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf