Data
The data utilized was chosen by the professor of the course, Dr. Andy Johnson.
For the application, we created bar charts and pie charts using the ggplot library once the data was processed into R Studio.
Data Manipulation
The data was cleaned and reduced to csv, xml, and rds files given by Professor Johnson.
The attributes that a Tornado is classified with is magnitude, speed, time, length, which leads to some interesting findings
The attribute that makes a tornado destructive is classified by fatalities, injuries, cost loss, crop loss, etc.
The library we used for our animation is SliderInput Widget library for over years of number of tornados by count.
Libraries Used:
library(shiny)
library(shinydashboard)
library(ggplot2)
library(lubridate)
library(DT)
library(jpeg)
library(leaflet)
library(dplyr)
library(plotly)
library(tidyverse)
library(reshape)
library(geosphere)
library(measurements)
library(RColorBrewer)
library(scales)
library(lattice)
library(sp)
library(leaflet.extras)
