zs.mp4
Qlik Project Report (SI-1188-1718528832).pdf
The project aims to utilize Qlik's data analytics platform to analyze road safety and accident patterns in India. By leveraging various data sources such as traffic data, accident reports, weather conditions, road infrastructure details, and demographic information, the project seeks to identify trends, hotspots, and factors contributing to road accidents. This analysis can help stakeholders, including government authorities, transportation agencies, and road safety organizations, make data-driven decisions to improve road safety measures, reduce accidents, and save lives.
scenario 1 : Hotspot Identification
Qlik's analytics can pinpoint regions or specific roads in India with a high frequency of accidents. By correlating accident data with factors like traffic volume, road conditions, and time of day, the platform can identify hotspots prone to accidents. This information is crucial for implementing targeted interventions such as enhanced traffic monitoring, improved signage, and speed limit adjustments.
scenario 2 : Trend Analysis Qlik can perform trend analysis on historical accident data to identify patterns and recurring factors leading to accidents. This includes analyzing accident types (e.g., collisions, pedestrian accidents), seasonal variations, and driver behavior (e.g., speeding, distracted driving). Insights gained can guide awareness campaigns, driver training programs, and policy reforms aimed at addressing root causes.
scenario 3 : Predictive Modeling Using predictive analytics, Qlik can forecast potential accident scenarios based on real-time data inputs. By considering variables like weather forecasts, traffic flow patterns, and historical accident trends, the platform can provide early warnings and proactive measures to prevent accidents. This predictive capability empowers authorities to deploy resources strategically and implement preemptive safety measures.
- Clone the repository:
git clone https://github.com/themihirmathur/Mihir-Qlik-Analysis-Of-Road-Safety-And-Accident-Patterns-In-India- Install the required dependencies:
- Navigate to the project directory:
cd Mihir-Qlik-Analysis-Of-Road-Safety-And-Accident-Patterns-In-India- View the generated visualizations and insights in the output folder.
The project utilizes the road accident dataset sourced from Qlik Internship.
The raw dataset undergoes a thorough cleaning process to handle missing values, outliers, and inconsistencies. The cleaned data is used for subsequent analysis.
The project employs various data visualization techniques to present key findings effectively.
The project concludes with a summary of findings, actionable insights, and recommendations for improving road safety. Visualizations and statistical evidence support the key takeaways.
Contributions are welcome! If you want to contribute to this project, please start doing it!
Feel free to use, modify, and distribute the code for your projects.