Java Unit Conversion

public class NauticalMiles { public static void main(String[] args) { // Declaring and initializing the variables final int NAUTICAL_MILES = 1; final double MILES = 1.15; final double KILOMETERS = 1.852; // Values in nautical miles to convert into miles and also kilometers int NauticalMilesSea1 = 6; int NauticalMilesSea2 = 27; // Converting Sea 1Continue reading “Java Unit Conversion”

Animation with CSS

<!DOCTYPE html> <html> <head> <style> div {   width: 100px;   height: 50px;   background-color: red;   position: relative;   animation-name: wellcome;   animation-duration: 3s;   animation-iteration-count: 30; } @keyframes wellcome {   0%   {background-color:red; left:0px; top:0px;}   25%  {background-color:yellow; left:400px; top:0px;}   50%  {background-color:blue; left:400px; top:200px;}   75%  {background-color:green; left:0px; top:200px;}   100% {background-color:red;Continue reading “Animation with CSS”

R Project

#Evaluation Data – Statistical Analysis #—-Section_1—- #Importing the data set data=read.csv(“C:\\csv\\NBA_improve3.csv”,header=TRUE) #Question:What factors are most important to win MVP? #Question:Who is the all time most efficient MVP? #Summarized the data’s file and variables summary(data) summary(data$PTS) summary(data$Assists) summary(data$Minutes.Played) summary(data$Total.Rebounds) #To view data set View(data) #To make sure that all variables are there data[!is.na(data$Minutes.Played),] #To check ifContinue reading “R Project”

Earthquake Resistance Building Design Challenge

I took general engineering course called, “Engineer Your World” when I was grade 9. This is a course given by my high school and it is developed by the collaboration of NASA (The National Aeronautics and Space Administration) & The University of Texas at Austin. During this course, I learned about what is engineering andContinue reading “Earthquake Resistance Building Design Challenge”

Accessing & Importing Data

R  can read the data outside of its environment and also write the data into files which will be stored and accessed by the operating system. There are various types of data formats that R can read, such as; csv, excel, xml, binary, web data, etc.  Commonly,  people store the data in excel spreadsheets and Continue reading “Accessing & Importing Data”