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https://github.com/lijesh010/roadaccidentanalysisproject
This data analysis project was completed using MS Excel, and includes the creation of a dashboard.
https://github.com/lijesh010/roadaccidentanalysisproject
data data-analytics data-exploration data-visualization msexcel
Last synced: 17 days ago
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This data analysis project was completed using MS Excel, and includes the creation of a dashboard.
- Host: GitHub
- URL: https://github.com/lijesh010/roadaccidentanalysisproject
- Owner: lijesh010
- Created: 2023-06-05T09:30:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-06-21T10:53:15.000Z (over 1 year ago)
- Last Synced: 2025-02-03T14:12:41.967Z (17 days ago)
- Topics: data, data-analytics, data-exploration, data-visualization, msexcel
- Homepage:
- Size: 19.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Road Accident Analysis Dashboard
This project aims to create a road accident dashboard for the years 2021 and 2022, providing valuable insights and key performance indicators (KPIs) related to road accidents. The dashboard analyzes a dataset containing information about road accidents, casualties, vehicle types, road conditions, and other relevant factors. The data is stored in an Excel file with the extension .xlsx.
## Dataset Overview
1. File Name: Road Accident Dataset.xlsx.
2. Rows: 307,974.
3. Fields/Columns: 21.
## Key Performance Indicators (KPIs)
The road accident dashboard provides the following KPIs and insights:
### Primary KPIs:
1. Total Casualties:
The total number of casualties that occurred after the accidents.
2. Casualties by Accident Severity: Breakdown of casualties by accident severity level (e.g., fatal, serious, slight).
3. Maximum Casualties by Vehicle Type: Identification of the vehicle type involved in accidents with the highest number of casualties.
### Secondary KPIs:
1. Casualties by Vehicle Type: Distribution of casualties based on the type of vehicles involved.
2. Monthly Trend Comparison: Comparison of the monthly accident trends between the current year and the previous year.
3. Maximum Casualties by Road Types: Identification of road types associated with the highest number of casualties.
4. Distribution of Total Casualties by Road Surface: Breakdown of casualties based on the road surface conditions.
5. Casualties by Area/Location and Day/Night: Analysis of the relationship between casualties and the time of day in different areas or locations.
## Stakeholders
The road accident dashboard is designed to provide insights to the following stakeholders:
Ministry of Transport,
Road Transport Department,
Police Force,
Emergency Service Department,
Road Safety Corps,
Transport Operators,
Traffic Management Agencies,
Public,
Media.
These stakeholders can leverage the dashboard's insights to improve road safety measures, implement appropriate policies, and raise awareness about road accidents.
## Dashboard
