Hii Everyone, I have created this Road Accident Analytics dashboard using Excel.
Requirements and KPIs:
Clients want to create a road accident dashboard for the years 2021 and 2022 so that they can have insight into the requirements.
📌 Total Casualties took place after the accident
📌 Total Casualties & percentage of total with respect to accident severity and maximum casualties by type of vehicle
📌 Total Casualties with respect to vehicle type
📌Monthly trend showing a comparison of casualties for the current year and the previous year
📌 Maximum Casualties by Road type
📌 Distribution of total casualties by road surface
📌 Relation between Casualties by Area/ Location & by Day/ Night
Steps Follow
These are some steps that I followed during the project:
Data Cleaning: In this step includes removing inconsistencies in data, errors, and duplicates and ensuring that the data with which I worked is accurate and reliable for further analysis.
Data Processing: Creating some new columns that involved organizing, sorting, and filtering the data to extract meaningful insights.
Data Analysis: Used various statistical methods to get valuable insights from the data.
Data Visualization: Used Excel as a visualization tool. With the help of this, I have created attractive charts, graphs, and interactive visuals to present the data in an easy way.
Dashboard Making: Finally, I built a dashboard in Excel by inserting slicers and timelines that allow users to interact with the data.
Key insights :
✅ Total Casualties that took place after the accident is 417878
✅ Maximum Casualties happened by Car (333480) which is 79.8% of total Casualties and minimum by others 3424
✅ Total Casualties that took place in the Year 2021 & 2022 is 222146 and 195737.
✅ Maximum Casualties happened in the month of November 2021 and Minimum in February 2021.
✅ Maximum Casualties happened in the month of November 2022 and Minimum in January 2022.
✅ Maximum Casualties by Single Carriageway road type and Minimum by Slip road.
✅ Highest Distribution of total casualties on Dry road surfaces.
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