GitHub - neelsoumya/accident_prediction: This document serves as developer documentation for a road accident forecasting and data exploration project.

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This document serves as developer documentation for a road accident forecasting and data exploration project.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
ACCIDENT.csv		ACCIDENT.csv
ATMOSPHERIC_COND.csv		ATMOSPHERIC_COND.csv
aggregated_timeseries.csv		aggregated_timeseries.csv
data_analyzer_R.R		data_analyzer_R.R
functions_lib.R		functions_lib.R
installation_script.R		installation_script.R
predict_accident_randomforest.ipynb		predict_accident_randomforest.ipynb
predict_accident_randomforest.py		predict_accident_randomforest.py
readme.txt		readme.txt
server.R		server.R
ui.R		ui.R
writeup_accident_prediction.doc		writeup_accident_prediction.doc

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readme

This document serves as developer documentation for a road accident forecasting and data exploration project.


Usage: data_analyzer_R.R
	ui.R 			
	python predict_accident_randomforest.py 

1) data_analyzer_R.R
	R script to perform data munging and generate plots

2) ui.R and server.R
	R shiny user interface for road accident forecasting and data exploration.

3) functions_lib.R
	R script with forecasting algorithms

4) predict_accident_randomforest.py
	Function to load data and train random forest model of acccidents.

5) Data
	ACCIDENT.csv
	ATMOSPHERIC_COND.csv

	Accident data from https://www.data.vic.gov.au/data/dataset/crash-stats-data-extract

6) writeup_accident_prediction.doc

	Writeup on road accident forecasting and data exploration project.

7) installation_script.R
	R script to install all necessary packages.