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\nCreate fantastic tables using gtExtras in R\n

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\n\nPublisher:\n\nR Programming 101\n\n\n
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\nWelcome to a closer look at the gtExtras package in R! In this video, we'll explore how to enhance your data tables with the powerful and flexible features provided by the gtExtras package. Whether you're a data analyst, data scientist,...\nWelcome to a closer look at the gtExtras package in R! In this video, we'll explore how to enhance your data tables with the powerful and flexible features provided by the gtExtras package. Whether you're a data analyst, data scientist, R programmer, or enthusiast, this package will help you take your data presentation to the next level. If you're learning R programming then this video is for you. In fact, even if you are a beginner, you'll find this helpful. What You'll Learn: Introduction to gtExtras: Understand what the gtExtras package is and how it complements the gt package for creating stunning tables in R. Key Features: Discover the key features of gtExtras, including customized table styling, advanced formatting options, and how to integrate visual elements seamlessly. Practical Examples: Follow along with practical examples demonstrating how to use gtExtras to make your data tables more informative and visually appealing. Best Practices: Learn best practices for using gtExtras in data science projects to improve your data reporting and presentation skills. This tutorial is perfect for anyone involved in data analysis, data visualization, or R programming. Boost your data science toolkit and make your tables stand out with gtExtras!\n
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Resource Details

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Media Length
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4:53
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nR Programming 101\n\n
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Date
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2024
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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data, values, cars, iris, data science
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Additional Tags

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r programming, stringr package, str_sub function, text manipulation in r, r tutorial, string manipulation, substring extraction, data cleaning, r data science, r for beginners, r data analysis., data set, gt extra, library function, absolutely love, summary table, missing values, table, fact, created, distribution, variable, gallon, create, themes, video, talk, today, computer, packages, piped, argument, line, code, etcetera, cell, number
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