The benefits of using the R programming language for data analysis include the ability to quickly process lots of data and create high quality visualizations. Question 4įill in the blank: The benefits of using _ for data analysis include the ability to quickly process lots of data and create high quality visualizations. The benefits of open-source code include the following: anyone can use the code for free, fix bugs in the code, and create add-on packages for the code. Anyone can pay a fee for access to the code.Anyone can create an add-on package for the code.Which of the following are benefits of open-source code? Select all that apply. Many data analysts prefer to use a programming language in order to easily reproduce and share an analysis, save time, and clarify the steps of an analysis. To easily reproduce and share an analysis.Many data analysts prefer to use a programming language for which of the following reasons? Select all that apply. Programming languages are the words and symbols you use to write instructions for computers to follow. Weekly challenge 1 Question 1Ī data analyst uses words and symbols to give instructions to a computer. To save your code, use the source editor. If you write code directly in the R console, RStudio will automatically forget your code when you close your current session. If you write code directly in the R console, RStudio will automatically save your code when you close your current session. RStudio includes an R console pane for executing commands, a source editor pane for writing code, and an environment pane for managing loaded data. RStudio includes which of the following panes? Select all that apply. An IDE brings together all the tools you may want to use in a single place. RStudio is a type of software application known as an integrated development environment (IDE). What type of software application is RStudio? R is designed to make data analysis easier, more efficient, and more powerful. The term data-centric best describes the R programming language. Which of the following terms best describes the R programming language? The R programming language can be used for statistical analysis, visualization, and data analysis. The R programming language can be used for which of the following tasks? Select all that apply. Open-source code is freely available to anyone. Open-source code is only available to people who pay a subscription fee. You can easily reproduce and share your work, save time, and clarify the steps of your analysis. There are three main benefits of using a programming language to work with your data. What are the benefits of using a programming language to work with your data? Select all that apply. Python, JavaScript, SAS, Scala, and Julia are examples of programming languages. What are Python, JavaScript, SAS, Scala, and Julia? Programming means giving instructions to a computer to perform an action or set of actions. Execute operations in R using mathematical operators such as +, -, *, and /Īnswers to week 1 quiz questions L2 Programming languages Question 1įill in the blank: Programming involves _ a computer to perform an action or set of actions.Differentiate between the R Console and R programming environments.Download and install R assets to a computer.Describe programming languages and appropriate use including examples.Describe the R programming language and its programming environment.Describe the RStudio programming environment including its components and benefits.Compare and contrast the R programming environment and the RStudio programming environment.You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. R is a programming language that can help you in your data analysis process. You may also be interested in Google Data Analytics Professional Certificate Course 1: Foundations – Cliffs Notes. Week 4: More about visualizations, aesthetics, and annotations.Coursera Google Data Analytics Professional Certificate Course 7: Data Analysis with R Programming quiz answers to all weekly questions (weeks 1 – 5):
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