British Airways Review Analysis Dashboard (2016–2023)
Designed and developed an interactive Tableau dashboard to analyze British Airways passenger reviews collected over a multi-year period
Tools
Data Analysis · Big Data · Tableau · Microsoft Excel · Python (Programming Language) · Exploratory Data Analysis
Tools
Data Analysis · Big Data · Tableau · Microsoft Excel · Python (Programming Language) · Exploratory Data Analysis
Tools
Data Analysis · Big Data · Tableau · Microsoft Excel · Python (Programming Language) · Exploratory Data Analysis
Timeline
2 weeks
Timeline
2 weeks
Timeline
2 weeks
The dashboard presents a comprehensive view of customer satisfaction, highlighting trends across aircraft models, seat classes, traveler types, and geographic regions.
Key features include a KPI overview for key travel metrics such as seat comfort, entertainment, and overall value. The dashboard incorporates time-series visualizations to uncover long-term rating trends, as well as interactive filters by continent, aircraft type, seat class, and traveler category. A world map showcases country-level review patterns, while detailed aircraft breakdowns reveal differences in passenger experiences.
Insights surfaced from the analysis include notable trends in service performance, variation across aircraft types, and shifts in ratings during the pandemic. The dashboard provides a user-friendly and data-driven way to explore airline experience through passenger feedback.
The dashboard presents a comprehensive view of customer satisfaction, highlighting trends across aircraft models, seat classes, traveler types, and geographic regions.
Key features include a KPI overview for key travel metrics such as seat comfort, entertainment, and overall value. The dashboard incorporates time-series visualizations to uncover long-term rating trends, as well as interactive filters by continent, aircraft type, seat class, and traveler category. A world map showcases country-level review patterns, while detailed aircraft breakdowns reveal differences in passenger experiences.
Insights surfaced from the analysis include notable trends in service performance, variation across aircraft types, and shifts in ratings during the pandemic. The dashboard provides a user-friendly and data-driven way to explore airline experience through passenger feedback.
The dashboard presents a comprehensive view of customer satisfaction, highlighting trends across aircraft models, seat classes, traveler types, and geographic regions.
Key features include a KPI overview for key travel metrics such as seat comfort, entertainment, and overall value. The dashboard incorporates time-series visualizations to uncover long-term rating trends, as well as interactive filters by continent, aircraft type, seat class, and traveler category. A world map showcases country-level review patterns, while detailed aircraft breakdowns reveal differences in passenger experiences.
Insights surfaced from the analysis include notable trends in service performance, variation across aircraft types, and shifts in ratings during the pandemic. The dashboard provides a user-friendly and data-driven way to explore airline experience through passenger feedback.
Reach out anytime
Let’s Stay Connected
Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!
yasawant@asu.edu
Reach out anytime
Let’s Stay Connected
Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!
yasawant@asu.edu
Reach out anytime
Let’s Stay Connected
Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!
yasawant@asu.edu