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Comparison Between R And Python Programming Languages Essay Paper
Comparison Between R And Python Programming Languages Essay Paper
Order ID 53563633773 Type Essay Writer Level Masters Style APA Sources/References 4 Perfect Number of Pages to Order 5-10 Pages Description/Paper Instructions
Comparison Between R And Python Programming Languages Essay Paper
Description
Overview
In data sciences, data analysts use various types of analytics tools, programming languages, and various other technologies. These help them in the process of extracting insights and required values from the data.
Some of the most commonly used programming languages today include Python, R, SQL, and others. A senior data professional might use both Python and R from time to time as per convenience.
Comparison between R and Python
Both R and Python are available in the open-source and are used for data analytics. R is used more for statistical analysis, while python has applications that are more general.
However, both languages can be used for various tasks, which include data analytics, exploring datasets, and others. R is considered slower than python while python is much faster than R. R takes up some time to learn, whereas python is easier to learn.
Therefore, Python is more suitable for beginners who have a background in computer sciences. The user interface, which is available in R, is known as an integrated development environment (IDE).
It supports all the plotting functions, graphics, and debugging. Workspace management is also possible in the interface. Python hosts multiple IDEs at the same time, due to which it allows the user to select as one as per their preference (Kohn & Manaris, 2020).
Pros and cons of R
For statistical analysis, R is a great programming language. Data visualization is usually the best by using the R language since visualized data is easier to understand.
Data manipulation on R is easier as it contains a huge number of data packages. The statistical modeling of R is one of the most powerful used for data modeling purposes.
However, R contains a physical memory, where the objects are loaded, due to which it is slower and needs fast processors. R might be widely used in fields like finance, healthcare, academics, and others, but its use is not that widespread in other fields.
Pros and cons of Python
Python is one of the easiest languages to learn if the user is familiar with programming. However, for new users with little or no programming background, python might not be easy to understand. It is usually faster than R, due to which it can be used for large datasets.
It has a wide range of applications in the field of automation, robotics, or software development programs (Bartley et al., 2018). However, it has limited reach in other fields apart from these.
Use of R and python for data visualization
While R is good for creating plots for exploratory data analysis, it is not very useful for the data visualization of the final product. The base graphics modules in R allow the user to make basic charts and plots from the given data matrices.
These files can then be saved into image formats, like jpg or in PDF format. However, it is advisable to use tools like ggplot2 for more advanced plots (Gould, 2019).
Python comes in with many tools for data visualization. With the advances in Matplotlib, python has now caught up with many aspects of data visualization.
With the help of the data, embedded, basic maps and charts can be drawn with the help of python. This can be done by using the aforementioned Matplotlib library.
Comparison Between R And Python Programming Languages Essay Paper
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QUALITY OF RESPONSE NO RESPONSE POOR / UNSATISFACTORY SATISFACTORY GOOD EXCELLENT Content (worth a maximum of 50% of the total points) Zero points: Student failed to submit the final paper. 20 points out of 50: The essay illustrates poor understanding of the relevant material by failing to address or incorrectly addressing the relevant content; failing to identify or inaccurately explaining/defining key concepts/ideas; ignoring or incorrectly explaining key points/claims and the reasoning behind them; and/or incorrectly or inappropriately using terminology; and elements of the response are lacking. 30 points out of 50: The essay illustrates a rudimentary understanding of the relevant material by mentioning but not full explaining the relevant content; identifying some of the key concepts/ideas though failing to fully or accurately explain many of them; using terminology, though sometimes inaccurately or inappropriately; and/or incorporating some key claims/points but failing to explain the reasoning behind them or doing so inaccurately. Elements of the required response may also be lacking. 40 points out of 50: The essay illustrates solid understanding of the relevant material by correctly addressing most of the relevant content; identifying and explaining most of the key concepts/ideas; using correct terminology; explaining the reasoning behind most of the key points/claims; and/or where necessary or useful, substantiating some points with accurate examples. The answer is complete. 50 points: The essay illustrates exemplary understanding of the relevant material by thoroughly and correctly addressing the relevant content; identifying and explaining all of the key concepts/ideas; using correct terminology explaining the reasoning behind key points/claims and substantiating, as necessary/useful, points with several accurate and illuminating examples. No aspects of the required answer are missing. Use of Sources (worth a maximum of 20% of the total points). 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Structure of the Paper (worth 10% of total points) Zero points: Student failed to submit the final paper. 3 points out of 10: Student needs to develop better formatting skills. The paper omits significant structural elements required for and APA 6th edition paper. Formatting of the paper has major flaws. The paper does not conform to APA 6th edition requirements whatsoever. 5 points out of 10: Appearance of final paper demonstrates the student’s limited ability to format the paper. There are significant errors in formatting and/or the total omission of major components of an APA 6th edition paper. They can include the omission of the cover page, abstract, and page numbers. Additionally the page has major formatting issues with spacing or paragraph formation. Font size might not conform to size requirements. The student also significantly writes too large or too short of and paper 7 points out of 10: Research paper presents an above-average use of formatting skills. The paper has slight errors within the paper. This can include small errors or omissions with the cover page, abstract, page number, and headers. There could be also slight formatting issues with the document spacing or the font Additionally the paper might slightly exceed or undershoot the specific number of required written pages for the assignment. 10 points: Student provides a high-caliber, formatted paper. This includes an APA 6th edition cover page, abstract, page number, headers and is double spaced in 12’ Times Roman Font. Additionally, the paper conforms to the specific number of required written pages and neither goes over or under the specified length of the paper.
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