Seminar 1 – project topics
Bára Kozlíková, Vítek Rusňák
PA214 Visualization II / Seminar #1
Course Aim and Goal
• Today, you will pick a topic from our list or you can come with your own
• You can work individually or in groups
• The number of people in the group will influence the required complexityof the final
solution
• We slightly prefer team projects;)
• We will (roughly) follow the workflow used in the visualization research
• You will go through all the stages including writing the research report.
• The main goal is to understand what it means to do a research in visualizations
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Seminar organization
• Sharing progress (2nd and 4th seminar)
• Up to 5 minutes – highlights of your work, achievements and failures
• Individual consultations
• Consultations and feedback on your progress from Bára and Vítek
• Individual work on projects
• Time for you to work on the issues you struggle with
• We expect you to work on the project during the seminars and between them
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Grading Rules
• Five deliverables throughout the semester
• You need to get at least 1/3 of the points from each deliverable
• Not meeting the deadline = ½ of the points
• Minimum score for passing the course is 26 points.
• Grades:
• 50-46 points ………… A
• 45-41 points ………… B
• 40-36 points ………… C
• 35-31 points ………… D
• 30-26 points ………… E
• 25-0 points ………….. F
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Deliverables 1/2
• D1: Do the related work research, familiarize with the data, formulate visualization task
requirements,create the initial design sketch
• Related work, task requirements, data analysis (written report – Word / Google Docs / Miro / plaintex file)
• Deadline: March 6
• 5 points
• D2: Finalize the design, select technologies, map data to the UI, start with the
implementation (data processing)
• final design (pen&paper/digital sketches)
• data processing implementation progress (show us the progress)
• Deadline: March 20
• 10 points
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Deliverables 2/2
• D3: Finalizing the implementation
• 20 points: complete implementation
• Deadline: May 14
• 20 points
• D4: Presenting the result
• Project presentation
• Deadline: May 15
• 5 points
• D5: Project report
• Research report (initial submission) + feedback implementation (final submission)
• Deadlines: June 16 – submit the report + June 23 submit final version
• 5+5 points
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Seminars Schedule
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21. 2. Seminar 1
Assignment:Related work research, obtaining thedata,analysis of task requirements,
preparing the sketch ofthe initial design
28. 2.
6. 3. Seminar 2
Feedback on: initialsketch (for review), data parser (to discuss)
Assignment:Finalizethe design,select technologies,map datato the UI,start with the thedata
processing implementation
Deliverable: Relatedwork,task requirements,data analysis (D1)
13. 3.
20. 3. Seminar 3
Feedback on: finaldesign, datapreprocessing state,selected technologies
Assignment:implementation - dataprocessing,initialUI layout (no interaction)
Deliverable: final design,data processing implementation progress (D2)
27. 3.
3. 4. Seminar 4
Feedback on: current stateof the implementation
Assignment:Implementation oftheinteractivity(linked components,filtering,...)
10. 4.
17. 4. Seminar 5
Feedback on: current stateofthe implementation
Assignment:Finish the implementation,preparethepresentation,written report info
22. 4.
1. 5. Public holiday(no seminar) Assignment:Presentations+Written report - via e-mail
8. 5. Public holiday(no seminar)
15. 5. Deliverables: implementation (D3), presentation (D4)
exam period Deliverable: Research report (D5)
Topic 1: Open Data Brno/Prague/Bratislava?
• Many big cities nowadays have Open Data portals containing various public datasets.
For example this dataset mapping of movement, gender, age composition, method of
transportation or groupness and activities of people within the Pribinova zone in
Bratislava.
• https://opendata.bratislava.sk/en/dataset/show/Mapovanie-pohybu-ludi-v-ramci-
zony-Pribinova
*For someof thedatasets, you can find also their visual representationson their webpage.However, many ofthem are not appropriate.
One example is themap of movementsof citizens,captured from thedata from mobileoperatorsin
Brno: https://data.brno.cz/app/41bd778ef2e24f8d985cd54a963ce7a6
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Topic 2: NASA Data Visualization
• NASA has many datasets publicly available
• https://data.nasa.gov/browse
• Browse the datasets, select one (or combine more of them), and
design your visualization for that
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Topic 3: Pan-cancer proteomic map of 949 human cell
lines
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Bio+MedVis Challenge 2023
• Suitable for teams
• Bio+MedVis Challenge 2023
The study by ProCan® team (Gonçalves et al., 2022) generated a comprehensive
pan-cancer proteomic map of949 human cancer celllines to aid in thediscovery of
cancer biomarkers and targets for the development ofnew cancer treatments.
Task 1: Visualization of Peptide and ProteinIntensities
• Create user-friendly, interactive visualizations.
• Include phenotypic information about tissue and cancer types.
• Define subcategories: house-keeping, tissue-specific, and cancer-specific proteins.
Task 2: Insight Extractionfrom Data Matrices
• Develop intuitive visualizations from peptide/protein data and annotations.
• Connect drug responses to proteins and cell lines seamlessly.
Task 3: Interactive Tool for Drug Response Data
• Visualize drug response data in relation to proteomic data across cell lines.
• Feature for selecting proteins to analyze associated drugs.
• Option to select drugs to visualize associated proteins
Topic 4: Illegal Fishing
Overview:
• Focus: Addressing illegal, unreported, and unregulated fishing worldwide.
• Context: Impact on marine ecosystems, food security, and regional stability.
• Organization: NGO FishEye International's data-driven approach.
Mini-Challenge 1: Contextualize Data
• Objective: Analyze extracted data from online news articles related to fishing.
• Goal: Understand the entities and relationships impacting marine industries.
Mini-Challenge 2: Identify Patterns
• Task: Use visual analytics to identify companies involved in illegal fishing.
• Context: Assistance requested by the country of Oceanus.
Mini-Challenge 3: Detect Anomalies
• Challenge: Develop a visual analytics approach to understand business anomalies.
• Data Source: International finance corporation’s database on fishing companies.
• Suitable for teams
• https://vast-challenge.github.io/2023/overview.html
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VAST 2023 Challenge
Topic 5: Sonar Imaging for Hydrothermal Systems
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2024 IEEE SciVis Contest
• https://sciviscontest2024.github.io/
This year’s contest deals with the Visualization of Sonar Imaging data for Hydrothermal Systems. The
data come from the COVIS - acoustic imaging method to detect hydrothermal discharge, quantify volume
or areal fluxes, and estimate heat contents of discharge from deep sea hot springs. Example tasks:
• Extract and visualize plumes to effectively showcase changes in bending and structure
• Extract plume centerlines or otherwise quantify plume characteristics such as bending direction and
degree, backscatter intensity gradients, and heat flux
• A more sophisticated gridding or plume extraction that starts from the raw data rather than gridded
data
• Suitable for teams
Topic 6: Might be Yours!
• Let's discuss your own topic
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