Question 1 Which of the following is True about R language ?1 pointR supports importing of data from different sources like flat files, databases R is used for statistical inference and does not support visualizationR requires installation of additional libraries to handle data analysisR functions require lots of coding compared to other Data science tools
Question
Question 1 Which of the following is True about R language ?1 pointR supports importing of data from different sources like flat files, databases R is used for statistical inference and does not support visualizationR requires installation of additional libraries to handle data analysisR functions require lots of coding compared to other Data science tools
Solution
The statement "R supports importing of data from different sources like flat files, databases" is true about R language. R is a powerful language used for statistical analysis and data visualization. It can import data from various sources including flat files like CSV, Excel, etc., and databases like MySQL, Oracle, etc.
The other statements are not entirely true. R is not only used for statistical inference but also supports visualization. There are numerous packages like ggplot2, lattice, etc., that provide advanced data visualization capabilities.
While R does require the installation of additional libraries to handle specific data analysis tasks, this is a common feature of many programming languages and not a limitation. The availability of these libraries actually extends the functionality of R and makes it a more powerful tool for data science.
Lastly, the amount of coding required in R functions can vary. However, R provides many built-in functions that simplify the coding process. Moreover, with experience and knowledge, efficient coding practices can significantly reduce the amount of code required.
Similar Questions
Question 6How is the R programming language different than Python?1 pointIt was built by statisticians and their specific languageIt is a general purpose languageIt’s primary objective is deployment and p
5.Question 5R is an open-source tool/programming language with thousands of people contributing to the R community.1 pointTrueFalse6.Question 6How should analysts characterize tools found in the bottom right quadrant of the data visualization tools analysis discussed in this module? 1 pointLimited capability & hard to useLimited capability & easy to usePowerful capability & hard to usePowerful capability & easy to use7.Question 7
R programming language is supported by which Organization ?Ross and Robert FoundationR Foundation for Statistical ComputingR Foundation and Free software associationAustralia Software associationunanswered
Question 9Which of the following statements accurately describe data visualizations and visualization tools? Select all that apply.1 pointThe programming language R does not integrate with data visualization tools.Choosing the most appropriate visualization is typically driven by the amount of data and the analysis process.Spreadsheets contain built-in chart and graph features.Tableau enables the creation of interactive dashboards for users to share.
Question 3What are the differences between Python and R languages? 1 pointPython has a different set of licenses than R.Python and R both are focused on a set of valuesPython is free, while R is chargeable.Python is open source, and R is free software.
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.