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Band 5+: The table below shows the amount of three types of fish farmed in one region between 2008 and 2010.

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Image for topic: The table below shows the amount of three types of fish farmed in one region between 2008 and 2010.

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The image presents a table showing data from 2008 to 2018 for three fish types in millions of tonnes. Arctic char: 2008 (3124), 2010 (2427), 2012 (3089), 2014 (3411), 2016 (4084), 2018 (4914). Salmon: 2008 (292), 2010 (1068), 2012 (2923), 2014 (3965), 2016 (8420), 2018 (13448). Rainbow trout: 2008 (6), 2010 (88), 2012 (422), 2014 (603), 2016 (2138), 2018 (295).

Given the complexity of the image, the above description may not be entirely accurate.

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The table compares information about 3 types of fish( Artic char, Salmon and Rainbow trout) farmed from 2008 to 2018.

Overall, it is clear that Artic char and Salmon were the most farmes types of fish in one region, by contrast, Rainbow trout showed least amount.

In 2008 the Artic char was the most widely farmed fish, at 3124 tonnes, while the Salmon accounted for 292 tonnes, rainbow trout was farmed a mere 6 tonnes. By 2010 the amount of Artic char had fallen to 2427 tonnes, whereas the figure for salmon significantly climbed to 1068 tonnes. Meanwhile, rainbow trout also considerably increased to 88 tonnes

From 2012 to 2018, the production of given two types of fish(Artic char and Salmon) increased dramatically. The former been produced 4914 tonnes and latter 13448 tonnes, making the most farmed type of fish in 2018. Regarding rainbow trout ,by 2016 ,the amount of that type of fish showed highest rate( 2138). However, in 2018 the production of salmon considerably decreased to 295 tonnes

Word Count: 170

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Overall Band Score

(+/- 0.5)

Vocabulary Complexity:
B1 - Intermediate
Using more sophisticated words could be beneficial.

Grammar Mistakes: N/A

Vocabulary Repetition:

tonnes: 8

salmon: 5

rainbow: 5

artic: 4

farmed: 4

trout: 4

types: 3

Try using synonyms for the above words

Task Response

The report adequately covers the data, presenting key trends and figures. However, there are some inaccuracies, such as the final statement about salmon production decreasing in 2018, which actually increased. To improve, ensure all data is accurately represented and consider a more structured approach to comparing the trends, perhaps grouping fish types or time periods more effectively.

Coherence & Cohesion

The report demonstrates an attempt to organize the information into paragraphs, but the flow of ideas could be improved. The overall structure is present, but the transitions between sentences and paragraphs are not always smooth, affecting the clarity of the message. For example, the shift in focus from 2010 to 2012-2018 could be smoother. Consider using cohesive devices more effectively to link ideas and improve the logical progression of the report.

Lexical Resource

The report uses a range of vocabulary relevant to the topic, such as 'farmed,' 'tonnes,' 'accounted for,' and 'significantly climbed.' However, there are instances where the word choice could be more precise or varied. For example, using synonyms for 'amount' or 'production' could enhance the lexical resource. While the vocabulary is generally appropriate, expanding the range and using more sophisticated terms would improve the overall score. Boost vocabulary complexity to elevate the overall score.

Grammatical Range & Accuracy

The report exhibits a mix of simple and complex sentence structures, but grammatical errors are noticeable and impact the clarity of the writing. There are issues with verb tense consistency, subject-verb agreement, and article usage. For example, 'Artic char and Salmon were the most farmes types of fish' contains errors. While the report demonstrates an attempt to use a variety of grammatical structures, accuracy needs improvement to ensure the message is conveyed effectively. Focus on proofreading to eliminate grammatical errors and improve sentence structure.

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