SlideShare a Scribd company logo
1 of 18
EIGE's Database on Gender
Statistics
Data visualisation of the Database on
Gender Statistics
Part 1: Overview of the DGS Web Interface
 Objectives
 Project Methodology
 User Experience Principles
Part 2: Data Visualisation System
 Navigation Design
 Proposed Data Visualisations (High-fidelity prototypes)
 Additional Tools and Functionality
Part 3: Conclusion and Discussions
Presentation Summary
EIGE's Database on Gender
Statistics
Part 1 - Overview
Objectives
Objective 1:
To allow the quick navigation to and easy discovery of
gender statistics (data and indicators).
Objective 2:
To effectively allow the discovery and visualisation of all
dimensions of the indicators.
Objective 3:
To support complex interrogations of the database’s
“live” datasets.
Objective 4:
To enable the further processing and sharing of gender
statistics (linked open data).
The project at a glance
Stakeholder
consultations
Stakeholder
consultations• Desk Research
• User Survey
• Online Discussions
• User Needs
Analysis
Phase 1: User
Needs
Assessment
• UserJourneys
• High-fidelity
Prototyping
• Design Reviews
• Technical Design
Phase 2:
Concept
Design
• Web Design
• Web Development
• Integration
• Testing
Phase 3:
Development
and Roll-out
6
Defining the DGS UX
The problem:
 Large ‘live’ dataset
 Data model supports the storage
of data of any structure
(dynamic schema)
 Navigation tree not optimised for
user browsing
The principles:
 Not requirements but usage
scenarios (users’ needs)
 Exploratory (vs. explanatory) and
insightful (vs. infotainment)
 UI simplicity and web accessibility
 Support users in discerning
relationships in the data
EIGE's Database on Gender
Statistics
Part 2 - The Data Visualisation System
Overall Branding and Layout
 Concept selected after consultation with EIGE, between four
alternative concept proposals
 Brand Identity
 Selected colour scheme based on EIGE’s style guide
 Simple single-column layout to amplify the cognition aspects of
data presentation and representation
 Overall front-end design choices support
cross-device accessibility (adaptive web design)
View the Prototype
Navigation Design
 Features a primary navigation menu
 Offers two mechanisms for accessing the indicators:
 Tree browser - to browse the taxonomy model (tree) of the DGS
 Integrated search facility – to search for words or phrases in:
dataset names, superset names and keywords.
 Additional browsing support through related indicators, intermediate
pages and popular statistics
DV.01: EU Column Chart
 The default visualisation displayed once an indicator has been
selected by a user
 All available countries ordered in the x-axis and their values in the
y-axis (for the latest available year)
 Filters and operations:
 Changing the year’s data presented in the chart;
 Adding and comparing data segments;
 Displaying trend data for a segment;
 Selecting an available unit;
 Re-ordering the countries displayed; and
 Interactivity in the chart (tooltips).
View the Prototype
DV.02: EU Heat Map
 All EU and IPA countries are displayed on a graded map according
to their value
 The scale is automatically adjusted for every indicator's view based
on the value span of the displayed dataset
 Filters and operations:
 Changing the year’s data presented in the chart;
 Adding and comparing data segments;
 Selecting an available unit;
 Displaying trend data for a segment; and
 Interactivity in the chart (tooltips).
View the Prototype
DV.03: Timeline Chart
 The Timeline Chart is the default visualisation when a user selects
to view country-specific results for a selected indicator.
 It presents all available years in the x-axis and the selected
country’s (segment) values in the y-axis.
 Filters and operations:
 Adding and comparing data segments; and
 Selecting an available unit;
 Again, tooltips support the UX with rich
information for each country. View the Prototype
DV.04: Data Table
 Displays the indicator’s full dataset below the data visualisations
 By default countries are being represented as rows (primary
dimension) and years as columns
 Filters and operations:
 Selecting and adding up to 2 additional primary dimensions;
 Sorting of the data table by column values;
 Transposing the table;
 Creating and adding multiple segments; and
 Highlighting of the high and low values
of the data table.
View the Prototype
Other tools and functionality
 Indicator information:
 Reference Metadata;
 Dataset Information.
 Keyword pages
 Data Visualisations Export and Sharing:
 Data Export in multiple formats;
 Graph printing and exporting in various formats;
 API to query data based on SDMX;
 Social Media sharing for each page indicator; and
 Feedback gathering tool.
EIGE's Database on Gender
Statistics
Part 3 – Conlusion and discussion
Recap
1. The DGS web interface
is a branded tool aiming
to create pleasant user
journeys that support the
consumption and
dissemination of research
data and statistics on
gender equality in
Europe.
2. The high-fidelity
prototype is based on
four data visualisation
functions, two main
entry points and a
number of tools to
enable the interrogation
and presentation of the
data and metadata.
3. The primary focus
is to add value to the
existing database in
terms of the
accessibility,
readability and
usability of the DGS.
Next Steps
 Phase 2: Concept Design
 Finalisation of the data visualisation specifications
 Finalisation of the High-fidelity Prototype (2 additional rounds are
planned)
 Phase 3: Implementation
 Design, Development and Integration of the DGS web application
in EIGE’s new website
 User Acceptance Testing
 Launch of the DGS web application
Nick Vaslamatzis
Digital Project Manager
https://gr.linkedin.com/in/vaslamatzis
EWORX S.A.
www.eworx.gr
Athens: 66 Jean Moreas St. GR-15231
Brussels: Rue du Marteau 81, B-1000
Tel: +30 210 61 48 380

More Related Content

Similar to Data visualisation for gender statistics (EIGE)

Open Data Infrastructures Evaluation Framework using Value Modelling
Open Data Infrastructures Evaluation Framework using Value Modelling Open Data Infrastructures Evaluation Framework using Value Modelling
Open Data Infrastructures Evaluation Framework using Value Modelling Yannis Charalabidis
 
Presentation of Gender Pulse
Presentation of Gender PulsePresentation of Gender Pulse
Presentation of Gender PulseUNDP Moldova
 
OGD new generation infrastructures evaluation based on value models
OGD new generation infrastructures evaluation based on value modelsOGD new generation infrastructures evaluation based on value models
OGD new generation infrastructures evaluation based on value modelsCharalampos Alexopoulos
 
Compared Assessment of Foreign Assistance Websites
Compared Assessment of Foreign Assistance WebsitesCompared Assessment of Foreign Assistance Websites
Compared Assessment of Foreign Assistance WebsitesGeorge_Ingram
 
Predictive Analysis for Diabetes using Tableau
Predictive Analysis for Diabetes using TableauPredictive Analysis for Diabetes using Tableau
Predictive Analysis for Diabetes using Tableaurahulmonikasharma
 
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...csandit
 
Clio infra Collabs data analysis tools
Clio infra Collabs data analysis toolsClio infra Collabs data analysis tools
Clio infra Collabs data analysis toolsvty
 
Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...
Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...
Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...Nischal Lal Shrestha
 
Overview Of Network Mapping And Analysis Platforms
Overview Of Network Mapping And Analysis PlatformsOverview Of Network Mapping And Analysis Platforms
Overview Of Network Mapping And Analysis Platformsdianascearce
 
Overview Of Network Analysis Platforms
Overview Of Network Analysis PlatformsOverview Of Network Analysis Platforms
Overview Of Network Analysis PlatformsNoah Flower
 
data_science_introduction_for beginners.pptx
data_science_introduction_for beginners.pptxdata_science_introduction_for beginners.pptx
data_science_introduction_for beginners.pptxShikhaJayaswal
 
Ankit Patel - Tableau Developer
Ankit Patel - Tableau DeveloperAnkit Patel - Tableau Developer
Ankit Patel - Tableau DeveloperAnkit Patel
 
Health Datapalooza 2013: Apps Expo Health Landscape
Health Datapalooza 2013: Apps Expo Health LandscapeHealth Datapalooza 2013: Apps Expo Health Landscape
Health Datapalooza 2013: Apps Expo Health LandscapeHealth Data Consortium
 
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...cscpconf
 
ONS Local presents: Census 2021, products and analysis
ONS Local presents: Census 2021, products and analysisONS Local presents: Census 2021, products and analysis
ONS Local presents: Census 2021, products and analysisOffice for National Statistics
 

Similar to Data visualisation for gender statistics (EIGE) (20)

Open Data Infrastructures Evaluation Framework using Value Modelling
Open Data Infrastructures Evaluation Framework using Value Modelling Open Data Infrastructures Evaluation Framework using Value Modelling
Open Data Infrastructures Evaluation Framework using Value Modelling
 
Presentation of Gender Pulse
Presentation of Gender PulsePresentation of Gender Pulse
Presentation of Gender Pulse
 
OGD new generation infrastructures evaluation based on value models
OGD new generation infrastructures evaluation based on value modelsOGD new generation infrastructures evaluation based on value models
OGD new generation infrastructures evaluation based on value models
 
Spreadsheet Software Market
Spreadsheet Software MarketSpreadsheet Software Market
Spreadsheet Software Market
 
Compared Assessment of Foreign Assistance Websites
Compared Assessment of Foreign Assistance WebsitesCompared Assessment of Foreign Assistance Websites
Compared Assessment of Foreign Assistance Websites
 
Predictive Analysis for Diabetes using Tableau
Predictive Analysis for Diabetes using TableauPredictive Analysis for Diabetes using Tableau
Predictive Analysis for Diabetes using Tableau
 
Hobbit project overview presented at EBDVF 2017
Hobbit project overview presented at EBDVF 2017Hobbit project overview presented at EBDVF 2017
Hobbit project overview presented at EBDVF 2017
 
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
 
Clio infra Collabs data analysis tools
Clio infra Collabs data analysis toolsClio infra Collabs data analysis tools
Clio infra Collabs data analysis tools
 
Census Hub Project
Census Hub ProjectCensus Hub Project
Census Hub Project
 
Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...
Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...
Election Portal - Web Design Competition Report(Ashish Tiwari, Nischal Lal Sh...
 
Overview Of Network Mapping And Analysis Platforms
Overview Of Network Mapping And Analysis PlatformsOverview Of Network Mapping And Analysis Platforms
Overview Of Network Mapping And Analysis Platforms
 
Overview Of Network Analysis Platforms
Overview Of Network Analysis PlatformsOverview Of Network Analysis Platforms
Overview Of Network Analysis Platforms
 
data_science_introduction_for beginners.pptx
data_science_introduction_for beginners.pptxdata_science_introduction_for beginners.pptx
data_science_introduction_for beginners.pptx
 
Ankit Patel - Tableau Developer
Ankit Patel - Tableau DeveloperAnkit Patel - Tableau Developer
Ankit Patel - Tableau Developer
 
Health Datapalooza 2013: Apps Expo Health Landscape
Health Datapalooza 2013: Apps Expo Health LandscapeHealth Datapalooza 2013: Apps Expo Health Landscape
Health Datapalooza 2013: Apps Expo Health Landscape
 
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
LINKING SOFTWARE DEVELOPMENT PHASE AND PRODUCT ATTRIBUTES WITH USER EVALUATIO...
 
Visual discovery tools
Visual discovery toolsVisual discovery tools
Visual discovery tools
 
ONS Local presents: Census 2021, products and analysis
ONS Local presents: Census 2021, products and analysisONS Local presents: Census 2021, products and analysis
ONS Local presents: Census 2021, products and analysis
 
Kview
KviewKview
Kview
 

Recently uploaded

The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Hyundai Motor Group
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 

Recently uploaded (20)

The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 

Data visualisation for gender statistics (EIGE)

  • 1. EIGE's Database on Gender Statistics Data visualisation of the Database on Gender Statistics
  • 2. Part 1: Overview of the DGS Web Interface  Objectives  Project Methodology  User Experience Principles Part 2: Data Visualisation System  Navigation Design  Proposed Data Visualisations (High-fidelity prototypes)  Additional Tools and Functionality Part 3: Conclusion and Discussions Presentation Summary
  • 3. EIGE's Database on Gender Statistics Part 1 - Overview
  • 4. Objectives Objective 1: To allow the quick navigation to and easy discovery of gender statistics (data and indicators). Objective 2: To effectively allow the discovery and visualisation of all dimensions of the indicators. Objective 3: To support complex interrogations of the database’s “live” datasets. Objective 4: To enable the further processing and sharing of gender statistics (linked open data).
  • 5. The project at a glance Stakeholder consultations Stakeholder consultations• Desk Research • User Survey • Online Discussions • User Needs Analysis Phase 1: User Needs Assessment • UserJourneys • High-fidelity Prototyping • Design Reviews • Technical Design Phase 2: Concept Design • Web Design • Web Development • Integration • Testing Phase 3: Development and Roll-out
  • 6. 6 Defining the DGS UX The problem:  Large ‘live’ dataset  Data model supports the storage of data of any structure (dynamic schema)  Navigation tree not optimised for user browsing The principles:  Not requirements but usage scenarios (users’ needs)  Exploratory (vs. explanatory) and insightful (vs. infotainment)  UI simplicity and web accessibility  Support users in discerning relationships in the data
  • 7. EIGE's Database on Gender Statistics Part 2 - The Data Visualisation System
  • 8. Overall Branding and Layout  Concept selected after consultation with EIGE, between four alternative concept proposals  Brand Identity  Selected colour scheme based on EIGE’s style guide  Simple single-column layout to amplify the cognition aspects of data presentation and representation  Overall front-end design choices support cross-device accessibility (adaptive web design) View the Prototype
  • 9. Navigation Design  Features a primary navigation menu  Offers two mechanisms for accessing the indicators:  Tree browser - to browse the taxonomy model (tree) of the DGS  Integrated search facility – to search for words or phrases in: dataset names, superset names and keywords.  Additional browsing support through related indicators, intermediate pages and popular statistics
  • 10. DV.01: EU Column Chart  The default visualisation displayed once an indicator has been selected by a user  All available countries ordered in the x-axis and their values in the y-axis (for the latest available year)  Filters and operations:  Changing the year’s data presented in the chart;  Adding and comparing data segments;  Displaying trend data for a segment;  Selecting an available unit;  Re-ordering the countries displayed; and  Interactivity in the chart (tooltips). View the Prototype
  • 11. DV.02: EU Heat Map  All EU and IPA countries are displayed on a graded map according to their value  The scale is automatically adjusted for every indicator's view based on the value span of the displayed dataset  Filters and operations:  Changing the year’s data presented in the chart;  Adding and comparing data segments;  Selecting an available unit;  Displaying trend data for a segment; and  Interactivity in the chart (tooltips). View the Prototype
  • 12. DV.03: Timeline Chart  The Timeline Chart is the default visualisation when a user selects to view country-specific results for a selected indicator.  It presents all available years in the x-axis and the selected country’s (segment) values in the y-axis.  Filters and operations:  Adding and comparing data segments; and  Selecting an available unit;  Again, tooltips support the UX with rich information for each country. View the Prototype
  • 13. DV.04: Data Table  Displays the indicator’s full dataset below the data visualisations  By default countries are being represented as rows (primary dimension) and years as columns  Filters and operations:  Selecting and adding up to 2 additional primary dimensions;  Sorting of the data table by column values;  Transposing the table;  Creating and adding multiple segments; and  Highlighting of the high and low values of the data table. View the Prototype
  • 14. Other tools and functionality  Indicator information:  Reference Metadata;  Dataset Information.  Keyword pages  Data Visualisations Export and Sharing:  Data Export in multiple formats;  Graph printing and exporting in various formats;  API to query data based on SDMX;  Social Media sharing for each page indicator; and  Feedback gathering tool.
  • 15. EIGE's Database on Gender Statistics Part 3 – Conlusion and discussion
  • 16. Recap 1. The DGS web interface is a branded tool aiming to create pleasant user journeys that support the consumption and dissemination of research data and statistics on gender equality in Europe. 2. The high-fidelity prototype is based on four data visualisation functions, two main entry points and a number of tools to enable the interrogation and presentation of the data and metadata. 3. The primary focus is to add value to the existing database in terms of the accessibility, readability and usability of the DGS.
  • 17. Next Steps  Phase 2: Concept Design  Finalisation of the data visualisation specifications  Finalisation of the High-fidelity Prototype (2 additional rounds are planned)  Phase 3: Implementation  Design, Development and Integration of the DGS web application in EIGE’s new website  User Acceptance Testing  Launch of the DGS web application
  • 18. Nick Vaslamatzis Digital Project Manager https://gr.linkedin.com/in/vaslamatzis EWORX S.A. www.eworx.gr Athens: 66 Jean Moreas St. GR-15231 Brussels: Rue du Marteau 81, B-1000 Tel: +30 210 61 48 380

Editor's Notes

  1. Concept selected after consultation with EIGE, between four alternative concept proposals and multiple design optimisation review cycles Own logo and design guidelines (sub-brand) Selected colour scheme based on EIGE’s styleguide to ensure its visual integration in EIGE’s website Layout based on the principle of using the maximum available estate of each device accessing it Add one more about happy user journeys
  2. Objectives 1. to help users analyse the data (find anomalies, patterns, trends and correlations) and 2. to help users mine the data to discover information