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To change the font size in HTML, use the style attribute. The style attribute specifies an inline style for an element. The attribute is used with the HTML tag, with the CSS property font-size. HTML5 do not support the tag, so the CSS style is used to add font size.Just keep in mind, the usage of style attribute overrides any style set globally. It will override any style set in the HTML tag or external style sheet.ExampleYou can try to run the following code to change the font size in an HTML page, Live Demo ... Read More
The text in an HTML document can be horizontally centred by using the HTML tag. Since HTML5 did away with this tag, it is advised that you format the document's text horizontally instead by using the CSS text-align property. The element is another name for this tag. Note − Not supported in HTML5 Syntax ... Following are the examples… Example In the following example we are using tag to make our text aligned to the center. DOCTYPE html> Welcome to TutorialsPoint ... Read More
Both microprocessors and microcontrollers are types electronic devices that come in the form of integrated circuits (ICs) and are used in different modern electronic equipment such as computers, laptops, washing machines, air conditioners, and many other automated electronic gadgets. The primary function of both microprocessors and microcontrollers is to automate the processes. Read this article to find out more about microprocessors and microcontrollers and how they are different from each other. What is a Microprocessor? As its name implies, it is a processing device that converts data into information based on some sets of instructions. It is a very ... Read More
Matplotlib is a Python library that helps to plot graphs. It is used in data visualization and graphical plotting.To use matplotlib, we need to install it.Step 1 − Make sure Python and pip is preinstalled on your systemType the following commands in the command prompt to check is python and pip is installed on your system.To check Pythonpython --versionIf python is successfully installed, the version of python installed on your system will be displayed.To check pippip -VThe version of pip will be displayed, if it is successfully installed on your system.Step 2 − Install MatplotlibMatplotlib can be installed using pip. ... Read More
Introduction In the world we live in today data has become a very important asset. It is very essential to know how to collect and analyze data from websites that can be used in several applications, such as market research, sentiment analysis, and data-driven decision-making. Without the right and required data, it becomes very hard to take any accurate and important decisions in today’s world. The most common computer language used for statistical calculation and data analysis is R. It offers strong libraries and tools for web scraping and data extraction. In the article that follows, we will examine R's ... Read More
RMarkdown is a powerful tool that helps users seamlessly combine code, text, and visualizations together to create dynamic reports and presentations. Today we will explore to know what are the capabilities of RMarkdown and where it can be applied. We will also cover the basics of RMarkdown, about its syntax, and how to create reports and presentations using this versatile tool. Additionally, we will discuss its advantages, integration with popular data analysis tools and provide examples to demonstrate its practical use. Introduction to RMarkdown RMarkdown is an open-source authoring framework that enables the creation of dynamic documents by integrating text, ... Read More
Introduction Statistical inference is the process of drawing conclusions or making predictions about a population based on sample data. While traditional methods like hypothesis testing and confidence intervals are widely used, advanced techniques have emerged to tackle more complex problems and provide more robust results. In this article, we will explore how R, a powerful statistical programming language, can be utilized to implement these advanced techniques effectively. We will explore some of the advanced techniques in statistical inference and demonstrate how to implement them using the popular programming language R. We will cover topics such as Bayesian inference, resampling methods, ... Read More
Introduction Data cleaning and preprocessing are crucial steps in the data analysis process. They involve identifying and rectifying errors, inconsistencies, and missing values in the dataset to ensure accurate and reliable results. R, a popular programming language for statistical computing and data analysis, offers a wide range of tools and packages to effectively clean and preprocess data. In this article, we will explore various techniques and methodologies in R for data cleaning and preprocessing. Understanding Data Cleaning Importance of Data Cleaning Data cleaning is an essential step before conducting any analysis as it helps in improving data quality, reliability, and ... Read More
Introduction R is a widely used programming language for statistical computing and graphics. It provides a comprehensive environment for data analysis, visualization, and machine learning. Whether you are a beginner or an experienced programmer, understanding the basics of R programming is essential to harness its power for data manipulation and analysis. In this article, we will delve into the fundamental concepts of R programming and explore its key features and functionalities. Getting Started with R Installation and Setup To begin using R, you need to download and install it on your computer. R is available for multiple operating systems ... Read More
Introduction The programming language R has emerged as a powerful tool for data analysis, visualization, and statistical modeling in the field of social science research. With its extensive range of packages and functionalities, R empowers researchers in disciplines such as sociology, psychology, economics, and political science to manipulate, explore, and analyze complex social datasets. In this article, we will explore the key features and benefits of R in social science research, highlight essential packages, discuss reproducible research using R Markdown, and provide practical examples of data analysis techniques. R's Capabilities in Social Science Research Efficient Data Analysis − R ... Read More