As we discussed about Vectors in my Previous Post, if not referred please find the below link to explore. Vectors are the most basic R data objects and there are six types of atomic vectors. They are logical, integer, double, complex, character and raw. Lets Take some quick examples to Create Vector : Single Vector […]
Create Vector in R Language Read More »
R programming is one of the most popular languages when it comes to data science, statistical computations or scientific research. R programming is widely used in machine learning and it is very efficient and user-friendly. It provides flexibility in doing big statistical operations with a few lines of code. Vectors in R are the same
Vectors in R programming Language: Read More »
A switch statement is a selection control mechanism that allows the value of an expression to change the control flow of program execution via map and search. The switch statement is used in place of long if statements which compare a variable with several integral values. It is a multi-way branch statement which provides an
Switch Statement in R Language Read More »
A repeat loop is used to iterate over a block of code multiple number of times. There is no condition check in repeat loop to exit the loop. We must ourselves put a condition explicitly inside the body of the loop and use the break statement to exit the loop. Failing to do so will result into
Repeat Loop in R Programming: Read More »
If statement is one of the Decision-making statements in the R programming language. It is one of the easiest decision-making statements. It is used to decide whether a certain statement or block of statements will be executed or not i.e. if a certain condition is true then a block of statement is executed otherwise not. Syntax:
If statements in R language ( Decision making Statements) Read More »
An operator is a symbol that tells the compiler to perform specific Arithmetical or logical manipulations. R language is rich in built-in operators and provides following types of operators. R’s binary and logical operators will look very familiar to programmers. Note that binary operators work on vectors and matrices as well as scalars. 1.Arithmetic Operators: 2. Logical Operators : Practicing exercises on
Operators in R Language : Read More »
As we know there are three List of Loops While Loop ( I have posted on this in my previous post, please refer this below link if not explored) 2.For Loop: we will be discussing in this Post 3.Repeat Loop : we will discuss on this in next Post There are two Loop control statements:
In Today’s post we will be exploring different For loop operations in R Language: Read More »
Quiz time ….. It is good to check our knowledge ,let’s Look at the questions and check our Knowledge. The answers for all the questions are mentioned at the end of the post. Question 1: Which one of these Variable Types is used for storing a number with a decimal point (such as 52.63) ?
Its Time to check our Knowledge …… Read More »
Loops are used in programming to repeat a specific block of code. In this post, you will learn to create a while loop in R programming. Use of While Loop in R Programming: In R programming, while loops are used to loop until a specific condition is met . While loop starts with Keyword while
Iterative statements in R Language : (While Loop) Read More »
Logical Operators can Basically have two Possible Values Either True or False Logical Operators can be taken as TRUE/T or FALSE/F , it should be in capital Letters Let us Look at few examples: In R there are many Logical Operators, but here we will Look at the extremely used Operators == (Equal to) Here
Let’s Look at Logical Variables & Operations in R Language: Read More »
Let us assign a values to two variables and do the Sum of two Variables. Here assign A = 10 and B = 5 and run the two Lines of code Lets us take another variable and name it as C and assign the summation of variable A and Variable B in Variable C Here
Usage of Variables & Operations in R Language Read More »
Here we will be learning very sophisticated Things in R, we will go through step by step the deep Programming Contents like Vectors, Matrices, data Frames and so on … To get Accustomed to this Deeper Programming, we will start with the very Basic Fundamentals. 1.Types of Variables: Here Let’s Look at the five different
Fundamentals & Core programming principles of R Language in Data Science: Read More »
This Post will help You to Understand the R language in Just ten minutes, so Let’s Dive straight into it: Step1 : First Go to this website : https://www.superdatascience.com/pages/rcourse We have some practicing datasets from this website, Scroll Down and click on Mispriced diamonds under section1: hit the Ground Running (Refer the Screenshots attached, follow
Let’s Take One real time Scenario to Understand the R Language: Read More »
Step 1: Download R from URL : http://cran.us.r-project.org/ Open this URL and Click on Download R for Windows (Follow as per the Instructions Highlighted in yellow color in the below screenshots) Click on Download R for Windows Click on Install R for the First Time Click on Download R 4.1.0 for Windows R starts
Installation of R, R studio and R Tools for Data Science for Windows and Ubuntu Read More »
Introduction to R Language and Data science with R Language : The R language is very useful in the field of statistical computation and data science. It offers various techniques like clustering, time-series analysis and classification technique, nonlinear/linear modelling, and classical statistical tests. Also, this language is very adaptable and extensible. Along with these, it
Why R Language is Important For Data Science ???? Read More »
Being a less-saturated, high paying field that has revolutionized several walks of life, it also has its own backdrops when considering the immensity of the field and its cross-disciplinary nature. While Data Science is a field with many lucrative advantages, it also suffers from its disadvantages. Mastering Data Science is near to impossible : Being a
Interested to Know Drawbacks of Data science ????? Read More »
Many organizations and industries adopt the power of data to reconstruct their present business scenario, where data generated every minute is increasing exponentially. The raw data generated by the company needs to be modified or transformed into a valuable piece of information, which is also reckoned as big data analytics so that it can be
Applications of Data science/ Business Analytics Read More »
So, in this post, I will cover the story of the Coca-Cola company and how they have leveraged technology to stand at the top. Thirty Years ago, Coca-Cola Announced that it would discontinue its beloved Coca-Cola in favor of a new product that millions derisively called “New Coke.” and they stated that this new Coke
Why Business Decisions and Analytics are Important in Data science Read More »
1. Exploratory Data Analysis: It is said that 90% of the work done by a data scientist is related to data analysis. The term “data analysis” refers to the cleaning and pre-processing of data before the construction of a statistical model. This step includes outliers, duplicate data, null values , and many other anomalies, which do not fall within
Data Science Project Life cycle Read More »
What Is the Difference between Data Scientists and Data Analysts? While the two terms overlap in terms of tasks and the specific skills needed to perform each role, they mainly differ in that data scientists gain insights from information, while data analysts go a step further by identifying and predicting trends and patterns. As such,
Data Scientists/Data Analysts Read More »
