Data commentary essay structure
The less common misbehavior is the use of false identity or the identity of another person, and this violation is more frequent among females. A surprising outcome of the study is that the difference between the use of a private personal computer or a share public computer is not significant for the illegal activities.
Data commentary essay structure
These linking clauses where as does not equal since or because are exceptional in English grammar. The second highest wrongful pattern on the internet is plagiarism. Indicative or Informative? Highlighting statements are generalizations that you can draw from the details of the data display. On the other hand, the study indicated that the least illegal incidents are due of unauthorized use of other's account. On the other hand, age of the users do not significantly affecting the other four instances of online misbehavior. Figure 4. In addition, all computers used for e-mail need to have a current version of a good antivirus program whose virus definitions are updated regularly. Highlighting Statements The central sections of data commentaries consist of highlighting statements. Figure 2 plots the two series for the last five years. From a summary of the data provided, it can be calculated that 57 percent of respondents were female. This is not surprising, because they have more knowledge to access illegal sources. This occurs because the author is talking about his or her present paper.
Indicative abstracts merely indicate what kind of research has been done; informative abstracts additionally give the main results. It is predicted that the percent will be decreasing from 18 to greater than 21 years old; however, there is a fluctuation in percent figures.
Sample again… Table 5 shows the most common modes of infection for U.
Figure 4. From the data, it can be inferred that the most common form of online misbehavior was the unauthorized downloading of music of films by male and expert users.
Moreover, the experts tend to misuse the internet in all categories shown in Table 5. Highlighting statements are generalizations that you can draw from the details of the data display.
Data commentary vocabulary
The conclusion at the end successfully sums the information up and gives a broader expansion of the topic, relating it to how internet behavior affects the film and music industry. It is obvious from the data, that the unauthorized downloading of music or film is the more used among all of them. We have already seen some examples in the text that accompanies Task Two. Discussions of implications, problems, exceptions, recommendations, etc. A couple of points to improve on: Always use "the" before internet if it's a noun - using the internet, on the internet, from the internet - but no article if it's an adjective - internet use. Because the theory has been proved, it may have practical importance. However, there are five common instances of online misbehavior which are: misrepresentation of self, unauthorized use of another's account, plagiarism of an essay or assignment, unauthorized downloading of music or film and finally pornography use. It is somewhat a contradiction in percent between those two misrepresentations on the internet that needs further studying. Moreover, the experts tend to misuse the internet in all categories shown in Table 5. Table 5 shows the points of entry of computer viruses for U. Highlighting statements are generalizations that you can draw from the details of the data display. Academic writing for graduate students: Essential tasks and skills 2nd ed. Figure 2 plots the two series for the last five years. The groupings were: gender, age, perceived internet competence as expert or non-expert, and shared or personal access to the internet. Commentary 1 Table 5 indicates the data of the research on the internet misbehavior according to background in the past 12 months.
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