Programing and Data Analytics INTRODUCTION
R is an open-source language designed for statistical computing and graphics. In the context of Coursera’s Google Data Analytics Professional Certificate, you will come into contact with R and its environment: RStudio.
RStudio is an advanced integrated program development environment (IDE). It has a console for direct entry of commands, tabbed windows for script editing, and effective tools for producing visualizations. These habitat tools extend the horizons by being able to maximize the organization of work in using the combined resources of R for data analysis.
Learning Outcomes:
- Compare R environment and RStudio programming environment
- Know the major sections and benefits of RStudio
- Understand the environment of R programming language
- Differentiate programming languages by examples with their respective uses
- Download R components and install them on your computer
- Start R and use it to perform low-level commands.
- Differentiate R Console from R programming environments
- Understand and perform operations in R using mathematical operators (+, -, *, /)
- Install and configure RStudio Desktop
- Learn how to perform basic tasks in RStudio
Test your knowledge on programming languages
1. Fill in the blank: Programming involves _ a computer to perform an action or set of actions.
- filtering
- instructing (Correct)
- training
- updating
Correct: Programming entails the writing of instructions directly for a computer for carrying out a single task or series of tasks. The instructions given to the machine, using programming languages that it can understand and run, are called codes. Programming will thus help in controlling how a computer behaves, automating things, manipulating data, and designing software applications to solve problems or perform functions.
2. Which of the following are best practices for creating data frames? select all that apply.
- Columns should be named (Correct)
- Each column should contain the same number of data items (Correct)
- Rows should be named
- Data can be stored as many different types
Correct: Programming is the process of providing a computer with a set of instructions, known as code, that tells the computer what actions to perform. These instructions can range from simple tasks like adding numbers to more complex operations such as controlling hardware, processing data, or building software applications. Programming is the foundation of all software and enables computers to perform at their best, with any task that can be automated or customized being a part of its possible activities.
3. What are the benefits of using a programming language to work with your data? Select all that apply.
- Save time (Correct)
- Clarify the steps of your analysis (Correct)
- Easily reproduce and share your work (Correct)
- Choose a business task for analysis
Correct: Programming with your data provides these three advantages: relevant reproduction and sharing of your work; automation reduces the time involved in manual work; and it makes the steps of your analysis clearer for the person doing the work, as well as for others.
4. The R programming language can be used for which of the following tasks? Select all that apply.
- Gaming
- Statistical analysis (Correct)
- Data analysis (Correct)
- Visualization (Correct)
Correct: R language is often used in statistical analysis and has almost all features required for data visualization and data analysis. Thus, it has proven itself as a powerful language with the ability to work with as well as interpret data.
Test your knowledge on programming with rstudio
1. What type of software application is RStudio?
- Integrated development environment (Correct)
- Data visualization tool
- Source editor
- Database
Correct: Integrated Development Environment or IDE for R has been completely transformed into RStudio with a user interface for combining all the tools required for carrying out R tasks in a unified shell. RStudio is practical and space-saving when writing, editing, running code, managing files, and creating visualizations, which are part of the data analysis process.
2. RStudio includes which of the following panes? Select all that apply.
- Command pane
- Source editor pane (Correct)
- R console pane (Correct)
- Environment pane (Correct)
Correct: RStudio is an advanced integrated development environment (IDE) that throws in the complete necessary tools for R in a single convenient interface. It is a place where you will write, edit and run code, work with files, and visualize content, bringing the workflow into data analysis much easier.
3. If you write code directly in the R source editor, RStudio can save your code when you close your current session.
- True (Correct)
- False
Correct: RStudio offers the convenience of automatic saving of your codes written in the R source editor session. A code gets automatically saved at some point in time and will be present even after the session closes. You can simply pick up right from where you left off.
4. What are Python, JavaScript, SAS, Scala, and Julia?
- Integrated Development environments
- Databases
- Programming Languages (Correct)
- Web applications
Data Analysis with R Programming Weekly Challenge 1
1. Fill in the blank: _____ are the words and symbols you use to write instructions for computers.
- Programming languages (Correct)
- Code languages
- Syntax languages
- Variable languages
Correct: Programming languages are formed by a host of particular words symbols and rules enabling the programmer to write instructions that will be understood by the computer. These languages allow one to interact and put commands to a computer and tell it to manipulate some pieces of information or perform a specific task.
2. Using a programming language can help you with which aspects of data analysis? Select all that apply.
- Transform your data (Correct)
- Ask the right questions about your data
- Clean your data (Correct)
- Visualize your data (Correct)
Correct: Programming allows one to very efficiently transform, clean, and visualize data in order to enable analysis and to enable insight extraction.
3. Which of the following are benefits of open-source code? Select all that apply.
- Anyone can create an add-on package for the code (Correct)
- Anyone can use the code for free (Correct)
- Anyone can pay a fee for access to the code
- Anyone can fix bugs in the code (Correct)
Correct: Open-source code affords many benefits like enabling people to use the code free of charge, and allow them to participate by reporting errors and creating new packages or features to further extend functionality.
4. For what reasons do many data analysts choose to use R? Select all that apply.
- R can create high quality visualizations (Correct)
- R can quickly process lots of data (Correct)
- R is a data-centric programming language (Correct)
- R is a closed source programming language
Correct: This is a major reason why data analysts have been flocking to R over the years because it is an acceptable means of processing real huge volumes of data, and generating first-rate visualizations without having an expenditure toward high-end machines. R is a data environment-specific programming language and can work very well only on specific data for statistical analysis and manipulation..
5. Fill in the blank: A data analyst wants to quickly create visualizations and then share them with a teammate. They can use _____ for the analysis.
- a dashboard
- structured query language
- the R programming language (Correct)
- a database
Correct: Statistical analysis using the R programming language is easy for analysts to generate visualizations and share findings: R has powerful tools for data visualization and for reproducible analysis that others can readily share.
6. RStudio’s integrated development environment lets you perform which of the following actions? Select all that apply.
- Install R packages (Correct)
- Stream online videos
- Import data from spreadsheets (Correct)
- Create data visualizations (Correct)
Correct: RStudio is the integrated development environment (IDE) that eases the installation of R packages, imports spreadsheets, and develops stunning data visualizations-all on one platform streamlined for your data analysis workflow.
7. Fill in the blank: When you execute code in the source editor, the code automatically also appears in the _____.
- plots tab
- R console (Correct)
- files tab
- environment pane
Correct: When you run code through RStudio’s source editor, that code automatically gets input to the R console where it executes and results appear. Such integration facilitates faster code running and debugging.
8. In RStudio, where can you find and manage all the data you currently have loaded?
- R console pane
- Plots tab
- Environment pane (Correct)
- Source editor pane
Correct: The Environment pane in RStudio shows and allows the user to manage all data within the R workspace session. It provides a very clear overview of variables, datasets, and other objects in that working environment, facilitating tracking and manhandling of data.
9. How do data analysts refer to the words and symbols they use to write instructions for computers?
- Variable languages
- Programming languages (CORRECT)
- Code languages
- Syntax languages
10. Fill in the blank: A data analyst wants to quickly create visualizations and then share them with a teammate. They can use _____ for the analysis.
- the R programming language (CORRECT)
- a dashboard
- structured query language
- a database
11. What tool gives data analysts the highest level of control over their data analysis?
- Programming language (CORRECT)
- Spreadsheet
- SQL
- Tableau
12. What are the benefits of using a programming language for data analysis? Select all that apply.
- They have no specific syntax.
- It does not require data cleaning
- They save time cleaning data. (CORRECT)
- They store steps of your analysis for future use. (CORRECT)
13. A data analyst is searching for an open-source tool that will allow them to work with very large amounts of data. What tool is the best option?
- JSON
- Tableau
- Spreadsheet
- R (CORRECT)
14. Using a programming language can help you with which aspects of data analysis? Select all that apply.
- Ask the right questions about your data
- Visualize your data (CORRECT)
- Clean your data (CORRECT)
- Transform your data (CORRECT)
15. RStudio’s integrated development environment includes which of the following? Select all that apply.
- A viewer for playing videos
- An area to manage loaded data (CORRECT)
- An editor for writing code (CORRECT)
- A console for executing commands (CORRECT)
16. What process does a data analyst use to instruct a computer to perform sets of actions?
- Filtering
- Analytics
- Visualization
- Programming (CORRECT)
17. Fill in the blank: In RStudio, the _____ is where you can find all the data you currently have loaded, organize it, and save it.
- plots pane
- source editor pane
- environment pane (CORRECT)
- R console pane
18. What attribute of the R programming language makes it an open-source programming language?
- The code is designed to be data-centric.
- The code is open to processing large amounts of data.
- The code is distributed by a company named “Open-Source.”
- The code can be modified and shared by anyone who uses it. (CORRECT)
19. Which of the following are benefits of using R for data analysis? Select all that apply.
- Define a problem and ask the right questions
- Reproduce and share an analysis (CORRECT)
- Create high-quality data visualizations (CORRECT)
- Process lots of data (CORRECT)
20. What are the benefits of using a programming language for data analysis? Select all that apply.
- They store steps of your analysis for future use.
- It does not require data cleaning
- They save time cleaning data. (CORRECT)
- They have no specific syntax (CORRECT)
21. A data analyst is searching for a single tool that will allow them to query massive amounts of data, reproduce their analysis, and create world-class visuals. Which of the following tools is the best option for them?
- SQL
- A dashboard
- The R programming language (CORRECT)
- A database
22. Which of the following statements about RStudio’s integrated development environment are correct? Select all that apply.
- RStudio is closed-source.
- RStudio only works on Windows.
- RStudio panes are customizable. (CORRECT)
- RStudio includes a built-in console. (CORRECT)
23. Fill in the blank: _____ are the words and symbols you use to write instructions for computers.
- Syntax languages
- Code languages
- Variable languages
- Programming languages (CORRECT)
24. A data analyst wants to write R code where they can access it again after they close their current session in RStudio. Where should they write their code?
- R console
- Files tab
- History tab
- Source editor (CORRECT)
Programing and Data Analytics CONCLUSION
O programming language is R, and there are few things to improve data analysis efficiency that can compete with that. In this section of the course, you studied R and RStudio, the environment designed for use with R. Using these two tools promises very improved efficiency and “user-friendliness.”
Important features of RStudio that will support you in getting started coding in R. You have learned the essentials of using R and RStudio; now, it’s time to put that education to use! Join the learning experience on Coursera today to access hands-on exercises, real-world examples, and an associated community of learners like yourself.