Hi Guys, This submission for Power BI World Championship - Week 4 presents a well-structured and insightful data visualization, focusing on CO₂ and gas emissions data sourced from Our World in Data. Designed with a strong emphasis on UI/UX best practices, the report ensures clarity, accessibility, and visual effectiveness.
Would love to hear your thoughts. Drop a Comment.
Thanks!
Don Kasun Sampath
Tools Used
This report has been created using the following tools:
Power BI Native Visuals – For seamless integration and optimized performance.
Deneb & Vega-Lite – To create custom visuals and enhance the flexibility of data representation.
Figma – Used for UI/UX design planning and visualisation layout structuring.
Coolors – To define and refine the color palette for consistency and accessibility.
Contrast Checker – Used to ensure optimal readability and compliance with accessibility standards.
Data Source
The data source used for this report is CO₂ and Gas Emissions Data from Our World in Data:
📌 GitHub Repository: OWID CO₂ Data
UI/UX Best Practices Implemented
In designing this data visualization, I have incorporated key UI/UX best practices to enhance insightfulness, readability, and accessibility, ensuring an effective and user-friendly experience.
1. Insightfulness
The visualization presents clear and relevant insights, focusing on key data points that add value.
Data is structured to highlight meaningful trends and patterns, ensuring users can quickly grasp insights.
2. Visual Effectiveness
I have used simple and clean visuals to enhance clarity and minimize distractions.
Contrast has been verified using a color contrast checker to ensure high readability.
Visual hierarchy is maintained using different colors and font weights to guide user attention effectively.
Orange is used as the primary highlight color in most situations where important information needs to stand out.
3. Accessibility
Tab order has been carefully maintained to ensure smooth keyboard navigation.
All text elements follow accessibility best practices, making the visualization inclusive for all users.
Color contrast has been validated to ensure visibility for users with visual impairments.
4. Visual Hierarchy
Key data points are emphasized using appropriate colors and font weight to establish a clear reading order.
The design ensures a structured and logical flow, making it easy to interpret the information.
Different font sizes are used for titles, subtitles, and paragraph content, ensuring a clear distinction between sections.
5. Proximity
Related elements are grouped together, ensuring users can quickly associate relevant data points.
6. Clarity
The visualization is designed for intuitive understanding, eliminating unnecessary complexity while keeping key insights visible.
7. Alignment
A consistent right alignment is used across all elements for a structured and professional appearance.
8. Contrast
Color contrast has been verified using a contrast checker to ensure accessibility and readability across different devices.
9. Simplicity
Minimalistic visuals are used to help users quickly grasp key insights without distractions.
10. White Space and Padding
Adequate white space is used to prevent information overload and improve readability.
11. Layout and Color
A well-structured layout and a thoughtfully chosen color scheme enhance the visual appeal and user engagement.
Light colors are used for axis labels to maintain subtlety while keeping the focus on key data points.
Orange is used as the main highlight color to draw attention to important elements.
12. Typography
Calibri is used for paragraphs to ensure readability.
DIN Light and DIN Space Light are used for the main title to create emphasis and maintain a strong visual hierarchy.
Different font sizes are applied for titles, subtitles, and content, ensuring clear separation of sections and ease of reading.
13. Visual Cues
Icons, labels, and highlights are placed strategically to guide user focus and improve interactivity.
14. Narrative Emphasis
Proper narratives have been added to highlight important occasions, incidents, or key events in the data.
Annotations and text descriptions ensure that users can understand the context behind significant data points.
By applying these best practices, this visualization ensures a seamless, effective, and accessible data interpretation experience, balancing aesthetics, clarity, and functionality while maintaining strong storytelling elements for enhanced data comprehension.
Cheers!
Don Kasun Sampath.
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