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Comprehensive EDA and Visualization of Car Accident Data Using R

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amirthagiftsmadurai

This document outlines how to conduct an exploratory data analysis on a dataset of car accident records from a town. It suggests analyzing the types of accidents, factors like road conditions and weather, severity of accidents, and any temporal trends over time or by time of day. The analysis should then be displayed professionally using data visualization tools like ggplot2, plotly and DT in a flexdashboard format.

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Using the accidentdata dataset: how to conduct a comprehensive EDA (exploratory data analysis) of your dataset. What types of car accidents occur in your town? What factors seems to be involved (type of route, weather, school bus related ect). How severe are the types of accidents in your town. Are there any notable temporal factors (accidents are increasing/decreasing over time? Accidents occur more often at what time of the day ect?). Put yourself in the shoes of a local government analyst or consultant hired to conduct a review of car accidents in the town. part 2 Display your analysis using ggplot2, plotly and DT in flexdashboard. Be sure to label your graphs professionally.

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