Technical Interview Questions
There are various applications available in real-time. These applications are as follows: Facebook Google Twitter HRDAG NDAA R is a versatile programming language and environment for statistical computing and graphics. It is widely used in various fields for data analysis, statistical modeling, and visualization. Some common applications of R include: Statistics and Data Analysis: … Read more
For data analysis, R has inbuilt functionality, but in Python, the data analysis functionalities are not inbuilt. They are available by packages like Pandas and Numpy. R and Python are both powerful programming languages widely used in the field of data science, statistics, and analytics. While they share some similarities, they also have key differences. … Read more
Simple and effective programming language. It is a data analysis software. It gives effective storage facility and data handling. It gives high extensible graphical techniques. It is an interpreted language. Certainly! R is a powerful programming language and environment for statistical computing and graphics. Here are five key features of R: Open Source: R is … Read more
It is a basic time series model and a simple example of a stationary process. A white noise model has a fixed constant mean, a fixed constant variance, and no correlation over time. In the context of time series analysis and forecasting, a White Noise model refers to a stationary time series where the data … Read more
A random walk is the simplest example of a non-stationary process. A random walk has no specified mean or variance, strong dependence over time, and its changes or increments are white noise. Simulating random walk in R: arima.sim(model=list(order=c(0,1,0)),n=40)->rw ts.plot(rw) A Random Walk model is a mathematical model used in statistics and finance to describe a … Read more