Museum Collection Accessibility
Overwhelming Collections
Cultural institutions host massive digital collections that are difficult to navigate and explore effectively.
Lack of Engagement
Current digital museum experiences often fail to engage users with interactive storytelling.
Data Visualization Gap
Raw museum datasets aren't transformed into clear, insightful visualizations for the public.
Interactive Museum Data Experience
Data-Driven Interface
User-centered design that makes the Tate Modern's collection more accessible and engaging.
Pattern Exploration
Helps users discover and understand artistic trends and patterns over time.
Data Science + UX/UI
Bridges technical analysis with intuitive design to communicate insights effectively.
Responsive Design
Clean, elegant interface that works across devices for all users.
UX|UI Design Decisions
Multilingual UX: The Language Icon & Global Design
As part of the user-centered design approach, we included a language selection icon (🌐) at the top of the interface to reflect the global nature of Tate Modern’s audience.
Rather than limiting the project to a bilingual experience, we designed the interface to support four languages: English, Spanish, French, and Arabic.
Each language reflects both Tate’s international outreach and the kind of inclusive experience we believe digital cultural spaces should provide.
X Rationale
- The globe icon signals agency: it invites users to navigate the site in the language that feels most natural to them.
- Each version of the site is adapted (not just translated), respecting cultural and linguistic nuance.
- Multilingual support was not an afterthought, it was considered from the earliest stages of layout, flow, and content structure.
This small symbol encapsulates a large message:
“Design is only universal when it speaks everyone’s language.”
Audience Demographics
Young International Visitors
Under-35s make up 70% of visitors during special events like the 25th anniversary weekend.
Tate Collective Membership
The 16-25 age group has surpassed 180,000 members, making it the largest youth arts membership program globally.
International Audiences
International visitors constitute more than half of Tate's website and museum traffic.
UX Considerations
Multilingual navigation
Mirrors Tate's real-world goal of reaching visitors from Europe, North Africa, Middle East, and beyond.
Data driven decisions
Analytics from Google Colab showed a diverse user base and usage patterns, reinforcing the need for language options and intuitive navigation.
Audience-Driven Design
Core youth audience
Young users (16-24) form a core audience, though European student attendance has declined due to Brexit and COVID—but UK domestic youth engagement remains very high (The Art Newspaper).
Interactive data visuals
Were shaped by this demographic—offering exploration by artist, period, or medium in all supported languages.
Navigation & Layout
The home page introduces the theme with clarity and aesthetic calm, using a neutral tone that lets the artwork and data stand out.
Section Structure
Context → dataset → visualizations → design decisions.
User Flow
Scroll and anchor points guide users through a linear narrative with room for exploration.
Color & Typography
Inspired by museum placards and gallery walls, the palette is muted but elegant.
Typography Goals
• Respect the serious tone of data and art
• Provide hierarchy for interpretation (headings vs captions)
Visual Elements
Chart Implementation
Each chart and visualization is placed contextually to align with the surrounding narrative.
Data Presentation
Exported directly from the Google Colab analysis (Python) and supplemented with design elements to avoid "raw" data feel.
Visual Balance
Ensures the visuals don't overwhelm, but enhance comprehension.
Behind the Interface
The insights displayed were derived from deep exploratory analysis using Python in Google Colab.
Dataset:
Tate Modern Museum Collection
📁 3,332 entries | 🧠 Source: CORGIS Project
Cleaning & Processing:
- Removed null values (common in technique/year fields)
- Encoded categorical variables (e.g., artist, medium)
- Extracted useful metrics like most frequent authors, year of creation ranges, and popular mediums
Key Visual Findings:
- Peak periods of artistic production
- Top represented artists and their contribution over time
- Techniques and formats dominating modern art
- Correlations between artwork year and material type
All graphs were customized and exported as visuals for integration.
Tools
▸ Google Colab (data wrangling & visualizations)
▸ Google Sites + HTML structure (publishing & layout)
▸ Python Libraries: pandas, seaborn, matplotlib
Interactive Website
The site serves both as:
- A case study in digital museum access
- A portfolio piece blending narrative UX with data fluency
Notes to My Future Self
“Design is about empathy. Data is about clarity. This project taught me how to merge both, letting the user explore complex cultural data with comfort and curiosity.”
By designing for both visual clarity and multilingual inclusivity, I transformed a cold dataset into a living interface, one that invites users to slow down, observe, and interact.