PHASE ONE PROJECT ANALYSIS ON AVIATION ACCIDENT INRODUCTION This project analyzes aviation accident data to uncover key safety patterns and risk factors. Through data cleaning, imputation, and visualization, the study identifies trends by aircraft type, operator, location, and time period. The results provide clear, evidence-based insights that help stakeholders strengthen safety measures and make informed operational decisions.

OVERVIEW This project uses an aviation accident dataset to uncover safety trends and operational risks. The data requires extensive cleaning and imputation due to missing and inconsistent values. After preparing the dataset, exploratory data analysis and visualizations will be conducted to identify key safety patterns across aircraft types, operators, geographic regions, and time periods. The insights will help stakeholders—such as aviation regulators, airline management, and safety investigators—understand where risks are concentrated, assess contributing factors like aircraft model or location, and develop targeted safety improvements. Ultimately, this approach transforms raw, fragmented data into actionable intelligence that can guide evidence-based decisions in aviation safety.

DATA UNDERSTANDING The dataset provides valuable information on aviation accidents, including aircraft type, operator, fatalities, location, and year. For stakeholders, this data represents an opportunity to better understand where safety risks occur and what factors contribute most to accidents. Airlines can use these insights to improve fleet management and crew training, regulators can identify high-risk regions or operators that require stricter oversight, and manufacturers can track performance issues across aircraft models. By transforming raw records into clear patterns, the project helps organizations minimize safety risks, reduce costs from accidents, and build stronger trust with passengers and the public.

DATA ANALYSIS he aviation accident dataset contains 18,642 records spanning over a century and covering 230 countries. A closer look reveals that the United States accounts for the highest number of accidents, reflecting both its large aviation industry and extensive reporting. More than 3,000 different aircraft types are represented, with models such as the Douglas C-47A (DC-3) appearing most frequently. Operators are highly diverse, totaling over 5,700, though certain organizations like the United States Air Force appear more prominently. In terms of outcomes, nearly half of the accidents report zero fatalities, yet fatal incidents remain significant and widely distributed across operators and regions. These patterns indicate that while non-fatal events are common, fatal accidents highlight critical areas for safety improvement. Overall, the data shows clear trends by aircraft type, operator, location, and year, providing valuable insights into aviation risks and opportunities for enhancing safety.

CONCLUSION The analysis of the aviation accident records shows that incidents are most frequent in high-traffic regions such as the United States and are concentrated among specific aircraft types and operators. While nearly half of the records report no fatalities, fatal accidents remain a major concern, highlighting gaps in safety management. For business stakeholders, this means there is a clear need to focus on high-risk aircraft and operators, strengthen crew training, and enforce stricter maintenance and regulatory oversight. It is recommended that airlines and regulators adopt predictive safety analytics, prioritize proactive monitoring, and implement region-specific safety programs to reduce both fatal and non-fatal incidents while building greater passenger trust.