https://github.com/jaseel342/road_accident_analysis_using_excel
This Excel dashboard project focuses on road accident data, aiming to create a user-friendly visual summary of accident details, severity, and weather conditions. The dashboard provides quick insights for informed decision-making and analysis in the context of road safety.
https://github.com/jaseel342/road_accident_analysis_using_excel
excel excel-dashboard excel-data-analysis
Last synced: 5 months ago
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This Excel dashboard project focuses on road accident data, aiming to create a user-friendly visual summary of accident details, severity, and weather conditions. The dashboard provides quick insights for informed decision-making and analysis in the context of road safety.
- Host: GitHub
- URL: https://github.com/jaseel342/road_accident_analysis_using_excel
- Owner: jaseel342
- Created: 2023-11-06T14:05:15.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-06T18:51:07.000Z (over 2 years ago)
- Last Synced: 2025-01-25T12:43:40.377Z (over 1 year ago)
- Topics: excel, excel-dashboard, excel-data-analysis
- Homepage:
- Size: 20 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Road Accident Analysis Using Excel
# Data Overview
In this Excel dashboard project, we'll use a dataset containing information about road accidents. Our goal is to create a visual, user-friendly dashboard that summarizes accident details, severity, weather conditions, and more. This dashboard will provide quick insights for informed decision-making and analysis.
# Data Cleaning
We've ensured data accuracy by removing duplicate entries from the dataset. To enhance data analysis, we've also created a "Month" and "Year" column from the "Accident Date" data, allowing for easy filtering and visualization based on these temporal dimensions. This data transformation ensures that the dashboard provides more meaningful insights and simplifies data exploration for users.
# Pivot Tables and Visualizations
We've leveraged pivot tables for data analysis and as a foundation for building the dashboard. We've also designed a range of visualizations, including Key Performance Indicators (KPIs), charts, and graphs to effectively convey critical insights derived from the dataset. These visual elements make the dashboard informative and user-friendly, providing a clear and actionable overview of the data.
# Building the Dashboard
We've constructed an interactive dashboard by integrating pivot tables and visualizations. We've taken care to customize the layout, appearance, and formatting of the dashboard to create an engaging and user-friendly experience. This ensures that users can efficiently explore and understand the data, making the dashboard a valuable tool for data-driven decision-making.
# Buttons, Filters and Slicers
In this Excel dashboard project, we've incorporated Buttons, Filters, and Slicers to enhance user interaction. Users can now explore specific data subsets with ease. Filters based on Accident Date, Urban, and Rural areas have been added, enabling users to refine their data views. Additionally, interactive buttons have been included to provide users with dynamic features, making the dashboard more engaging and user-friendly.
# Dashboard
# Results
* The most common type of vehicle involved in road accidents is a car.
* Casualties have declined in 2022 as compared to the previous year.
* The most common road type for road accidents is a single carriageway.
* The most common weather condition for road accidents is dry.
* The most common Area for road accident is Urban.
* The most common Light condition for road accident is Daylight.