SAROJ Advantages of Using R for Data Science, In modern times, the field of data science is evolving at a breakneck pace. Hence, businesses need to embrace the same before getting left behind at a distance that will keep on increasing over time. R is a powerful tool that has excellent statistical and visualization capabilities, making … Read more
How to Choose the Right Data Visualization is divided into chapters, one for each of the main categories for using data visualization. Each chapter is headed by a short introduction and a list of chart types falling into that category. Each chart type is accompanied by a brief description and one or more icons. Below … Read more
Almost every R user knows about popular packages like dplyr and ggplot2. But with 10,000+ packages on CRAN and yet more on GitHub, it’s not always easy to unearth libraries with great R functions. Here are the ten most useful R functions you might not know that make my life easier working in R. If … Read more
Solving a System of Equations in R With Examples: Solving a system of equations in R is a common task in mathematical and statistical applications. R has several built-in functions and packages to solve systems of equations, including the lm() function and the ‘rootSolve’ package. In this article, we will demonstrate how to solve a … Read more
MOST COMMON STATISTICAL DISTRIBUTIONS: Statistics is an essential branch of mathematics that involves the collection, analysis, and interpretation of data. One of the central concepts in statistics is the idea of a distribution, which is a mathematical model that describes the pattern of the data. There are several common statistical distributions that are widely used … Read more
The distribution of wealth follows a well-known pattern sometimes called an 80:20 rule: 80 percent of the wealth is owned by 20 percent of the people. A report last year shows that just eight men had a total wealth equivalent to that of the world’s poorest 3.8 billion people. The distribution of wealth is among … Read more
This book contains examples of different types of hypothesis testing to determine if you have a statistically significant result. It is intended to be direct and to give easy to follow example problems that you can duplicate. In addition to information about what statistical significance is, or what the normal curve is exactly, the book … Read more
Download Statistics And Machine Learning We will go back to mathematics and study statistics, and how to calculate important numbers based on data sets. We will also learn how to use various Python modules to get the answers we need. And we will learn how to make functions that can predict the outcome based on … Read more
With the help of the R programming cheat sheet, we can perform a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and … Read more
I have been using R for the longest time in my professional life, I realized that R outclasses Python in several use cases, particularly for statistical analyses. As well, R has some powerful packages that were built by the world’s biggest tech companies, and they aren’t in Python! And so, in this article, I wanted to go … Read more