Explore dashboards and data storytelling based on real-world cases, created in tools such as Power BI, Tableau, Python and Excel
Airline Passenger Satisfaction Analysis
Project: Airline Passenger Satisfaction Analysis
Tools: Excel (PivotTables, Charts), VBA, Conditional Formatting
Description: An analytical project based on an airline passenger satisfaction survey covering 19,652 responses. The analysis focuses on identifying the factors that influence the overall travel rating and the differences in satisfaction across passenger segments.
Objective: Understanding which aspects of the journey have the greatest impact on passenger satisfaction and identifying areas that require improvement to enhance the overall customer experience.
Data: Training materials (dataset provided as part of the course).
Repository:
See on GitHub
Training activity and progress analysis (April–November 2025)
Project: Analiza aktywności i progresu treningowego (kwiecień - listopad 2025)
Tools: Tableau, Power Query, Excel
Description: A project completed as part of the KajoDataSpace Challenge #04. It uses real-world training data, covering both strength training and cardio.
Objective: Zrozumienie i wizualizacja nawyków ruchowych poprzez dane. Pokazanie cykli, powrotów, wahań intensywności i trendów, które na co dzień są niewidoczne. Projekt ma podkreślać, że codzienne liczby układają się w konkretną historię - i mogą stać się narzędziem wspierającym rozwój.
Data: An authentic training tracker by Kaja Rudziński (shared by KajoData / KajoDataSpace for competition purposes).
Repository:
See on GitHub
See recommendations from Kaja Rudziński
Seasonality of Farmer Questions in East Africa (2019–2020)
Project: Seasonality of Farmer Questions in East Africa (2019–2020)
Tools: Python (pandas), Tableau, Excel / Power Query
Description: Analysis of multilingual farmers’ questions (WeFarm) to identify recurring seasonal patterns in crop production, plant diseases, fertilization, and market prices.
Objective: Understanding farmers’ activity cycles and information needs, and translating them into operational insights (timely planning of content, campaigns, and communication).
Data: Anonymized data shared as part of the DataKind Challenge; raw data is not included in the repository.
Repository:
See on GitHub
Advent Calendar 2025 (Excel + VBA)
Project: Advent Calendar 2025 (Excel + VBA)
Tools: Microsoft Excel (UI), VBA (logic), GitHub (repo + documentation)
Description: A custom Advent calendar built as a mini offline application in Excel. The project combines a user interface (clickable windows/postcards), time-based logic, and persistent saving of the application state.
Objective: Building a cohesive application in Excel/VBA with date-based access control, persistent state, game rules, and logic separated from the UI layer.
Data: Brak klasycznych danych analitycznych - projekt aplikacyjny (event-driven UI, tabela sterująca, trwały stan).
Repository:
See on GitHub
Volunteer project: shark incidents • 2000-2024
Project: Shark incidents • 2000-2024
Tools: Tableau, MySQL (ETL), DBeaver
Description: Niezależna, pro bono analiza oparta na Global Shark Attack File (GSAF) - od importu i czyszczenia danych (ETL w MySQL) po budowę interaktywnego dashboardu w Tableau.
Objective: Edukacja i kontekst, nie strach - podkreślenie sezonowości, aktywności człowieka i geografii (z jasnymi definicjami: fatal vs non-fatal oraz unprovoked).
Data: Global Shark Attack File (GSAF) • snapshot 2025-09-24 • incidents 2000-2024.
Repository:
See on GitHub
View the reference letter from GSAF
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