Explore the Lore. Who killed who? Where, how, and why?
A custom, interactive dashboard for fans and freaks.
This was my first-ever Tableau project, created as part of a data visualization course.
What started as a simple assignment quickly spiraled into a full-blown creative obsession—with custom icons, character art, lore expansion, and a cinematic dashboard experience.
A visual chronicle of Westeros’ deadliest tales.
This Tableau dashboard analyzes Game of Thrones deaths by character, location, house, and method—layered with original imagery and fan-sourced data.
📍 Live Preview: View on Tableau Public (Note: not final version)
- Google Sheets — for organizing and extending data
- SQL — for quick custom datasets and analysis
- ChatGPT & Midjourney — for AI-assisted image generation and lore writing
- Tableau — for dashboard design and interactivity
- GitHub Desktop — for version control and hosting
got-tableau-dashboard/
├── data/
│ ├── data_cleaning.md # Documentation of the data cleaning process
│ ├── got_characters.csv # Character metadata
│ ├── got_clean_sheet.csv # character metadata (no kills and still alive)
│ ├── got_kills.csv # Kill records and relationships
│ ├── got_locations.csv # Location metadata and coordinates
│
├── images/
│ ├── characters/ # Character portraits (1024x1536 PNGs)
│ ├── house/ # House sigils and shields (1024x1024 PNGs)
│ ├── location/ # Location artwork (widescreen format)
│ ├── method/ # Icons representing kill methods (1024x1024 PNGs)
│ ├── preview.png/ # dashboard preview screenshot
│
├── sql_scripts/
│ ├── 01_kill_count_per_character.sql # Total kills per killer
│ ├── 02_kills_per_location.sql # Kills grouped by location
│ ├── 03_method_rank.sql # Ranked list of kill methods
│ ├── 04_kill_path_by_character.sql # Path of each killer across episodes
│ ├── 05_kill_path_Arya_Stark.sql # Arya Stark’s specific journey
│ ├── README.md # Description of SQL queries
│
├── .gitattributes
├── .gitkeep
├── README.md # Project overview, usage, and credits
- Based on public GoT datasets from Dataworld by @vizwiz
- Expanded with self-collected data from fan wikis and lore research
All visuals were custom-generated using AI tools like Midjourney and ChatGPT's image tools, then categorized for use within Tableau’s custom shape folders.
Ross Anderson
🐦 @RA_DataViz
What I learned:
- Tableau isn’t built for storytelling — but with creativity, you can stretch it.
- Built dynamic views with linked filters, image swapping, and calculated logic.
- Struggled with things like resets, layout control, and filter formatting.
- Learned to work around Tableau’s quirks.
Far from perfect, but a huge step forward in data-management, design thinking, problem solving, and my understanding of working in Tableau, SQL, Github and various AI's.
This project is for educational and portfolio use only.
Custom visuals are not licensed for commercial use without permission.
All names, places, events, and imagery are inspired by the world of A Song of Ice and Fire, created by George R. R. Martin.
This is a non-commercial, fan-made visualization.
All intellectual property belongs to George R. R. Martin and affiliated rights holders, including HBO.
