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A leader is more than a delegatory figure at an organization’s high managerial level. Great leaders can impact their team and the organization and establish a connection between the two. Subordinates are always productive and committed to the company when they are led by such great leaders. Not all great leaders are born with a cape to create such ripple effects in their firm. Leadership can be developed over time through the process of learning from and experiencing things that help them evolve into a better version of themselves. In this article, we shall look at 5 personality development steps ... Read More
The stringr package is a popular R package that provides functions and tools for manipulating and processing strings in R. This package provides a consistent and convenient interface for working with strings, and it offers a wide range of functions for tasks such as searching, matching, replacing, and splitting strings. In this article, we will discuss string manipulation in R with "stringr” package. The “stringr” package provides us the following families of functions in “stringr” − Character manipulating functions: Such functions allows us to deal with the characters of a string. A family of functions to deal with whitespaces. ... Read More
Leaders are the backbone of every organization. Without proper leadership, the success of a team is always questionable. It takes more than seniority to become a leader. Leaders are formed when an individual has the skills to motivate their team and drive them towards the achievement of their goals. The impact of a leader on their team can be measured by the leadership style they follow. There are various leadership styles available depending on the organizational structure and external factors such as business models and environmental trends. In this article, we shall look into the four types of leadership that ... Read More
Adversity can be a difficult challenge for leaders. It can bring about feelings of frustration, anxiety, and helplessness. Yet, with the right mindset and strategies, any leader can turn adversity into an advantage. In this article, we'll explore 3 ways to do just that: reframing the problem, leveraging resources, and leading with empathy. With these strategies, any leader can find success even in the most challenging of times. Turning Adversity into Advantage Adversity is a part of life and can be an opportunity to test our strength as leaders. To become successful, a leader must be able to recognize ... Read More
Most of the time, the R programmers encounter large data that causes problems as by default variables are stored in the memory. The R language doesn’t work well with a huge amount of data larger than 10% of the computer’s RAM. But data processing should be scalable if we want to excel in the field of data science. So, we will discuss how we can apply certain operations and use scalable data processing easily when the data is sufficiently larger than the computer’s RAM. The discussion would also be focussed on dealing with “out of core” objects. What is Scalable ... Read More
Object-oriented programming focuses on data and objects rather than procedures. The object-oriented model helps us to model real-life objects. It is important to master object-oriented programming concepts in order to excel in the field of data science. Each program has special types of classes. In this tutorial, the discussion will be focused on S3 and S4 classes in R, generic functions, inheritances between classes, and polymorphism. In this tutorial, we will discuss object-oriented programming concepts in R. Object-Oriented Programming in R Object oriented programming is a programming model that revolves around classes and objects rather than functions. In R we ... Read More
The R package collection known as tidyverse was created with the goal of collaborating and handling data effectively. The Tidyverse package is open-source and constantly improved by the data science community. A data scientist must have a fundamental understanding of every package included under the tidyverse umbrella. All eight packages—purr, ggplot2, dplyr, tidyr, stringr, tibble, readr, and forcats —will be covered in depth. Tidyverse Packages Tidyverse groups several packages in R. It consists of the following packages − Package Name Usage purrr Used for function programming ggplot2 Used for creating graphics dplyr ... Read More
The dates and times appear simple and easy at first impression as we deal with them in our day-to-day life. But a lot of complexity involves when we work with dates and times objects in R. This article focuses on working with dates and times using the lubridate package in R. You can install this package locally by using the following command in the CRAN’s terminal − install.packages("lubridate") Types of data/time objects in R There are three types of data/time objects and are listed below − Date () object − Prints the date. Time () object − Prints ... Read More
Parallel programming is a software development practice that involves dividing a computation or task into smaller parts that can be executed concurrently or in parallel. Parallel programming can help improve the performance and efficiency of your R code by utilizing multiple processors or cores in a computer or cluster. The main concept of parallel programming is, if one operation can be performed in S seconds using a single processor, then it should be able to get executed in S / N seconds when N processors are involved. Need for Parallel Programming in R Most of the time the code in ... Read More
The xts and zoo are two R packages that provide tools and functions for manipulating time series data. Both packages offer functions for reading, writing, and manipulating time series data stored in various formats, such as CSV, Excel, and other data sources. We shall start by introducing xts and zoo classes, basic manipulations, merging and modifying time series, and by the end, we will be discussing applying and aggregating by time. XTS and Zoo class Syntax In R, xts extends the zoo class. An xts object is similar to a matrix of observations that are indexed by a time object. ... Read More