Bar Chart

Band 6+: TASK 1: The bar chart shows the average prices per kilometre of clothing imported into the European Union from six different countries in 1997 and 2003

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The image is a bar chart showing 'The average price per kilometre of clothing imported into the European Union' in pounds (£) for 1997 and 2003. For 1997, the prices from the six countries were: Argentina £27, Brazil £22.5, Japan £15, China £10, India £7, and Bangladesh £3. For 2003, the prices were: Argentina £25.5, Brazil £22.5, Japan £13, China £17, India £12, and Bangladesh £6.

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

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The bar chart provides key information about the change of price per kilometre of clothing imported from various countries to the European Union in 1997 and 2003. The units are measured in pounds.

Overall, it is clear from the graph that Argentina recorded the most nation inport to the European Union in both years. In addition, Bangladesh showed the lowest country import clothing compared to other countries, whereas Brazil remained stable for both years.

According to what is shown, Argentina export stood the highest in 1997 by around 28 pound, the number slightly declined to nearly 25 pound, followed by Brazil, which was about 23 pound for both years. Japan export to EU declined slightly from approximately 15 pound in 1997 to roughly 13 pound in 2003.

In terms of china, a dramatic increase of export clothing from about 10 pound in first year to approximately 17 pound in 2003. Similary, India and Bangladesh experienced rising, which India rose fro 8 to 13 pound, while Bangladesh increased from 3 to 7 pound.

Word Count: 172

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Overall Band Score

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Vocabulary Complexity:
B2 - Upper Intermediate
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Grammar Mistakes: N/A

Vocabulary Repetition:

pound: 9

about: 3

clothing: 3

bangladesh: 3

export: 3

Try using synonyms for the above words

Task Response

The report adequately addresses the task by describing the main trends and comparing the data for the two years. It provides an overview and specific details for each country. However, there are some inaccuracies in the data (e.g., Argentina's 1997 price is stated as 'around 28' instead of 27, and India's 2003 price is given as 13 instead of 12). Additionally, there are minor grammatical and lexical issues (e.g., 'most nation inport' should be 'highest import', 'export stood' should be 'exports stood', and 'Similary' should be 'Similarly'). These issues do not significantly detract from the overall clarity, but improving accuracy and language precision would enhance the response.

Coherence & Cohesion

The report has a clear overall structure with an introduction, overview, and body paragraphs. However, the flow is sometimes disrupted by awkward phrasing and unclear references (e.g., 'Argentina recorded the most nation inport' and 'Bangladesh showed the lowest country import clothing'). The use of cohesive devices is limited, and some sentences are not logically connected. To improve, use a wider range of linking words and ensure each paragraph has a clear central idea with smooth transitions.

Lexical Resource

The vocabulary is adequate for the task, with some attempts at paraphrasing (e.g., 'provides key information', 'recorded the most nation inport'). However, there are inaccuracies and awkward word choices (e.g., 'inport' instead of 'import', 'export stood the highest' instead of 'exports were the highest'). The range of vocabulary is limited, and some terms are repeated. To improve, use more precise and varied vocabulary, and ensure correct word forms and collocations.

Grammatical Range & Accuracy

The report contains several grammatical errors and punctuation issues that affect clarity. For example, 'Argentina recorded the most nation inport' is ungrammatical, and 'Similary' is misspelled. There are also issues with subject-verb agreement and article usage. The range of sentence structures is limited, with many simple sentences. To improve, focus on grammar accuracy, use a variety of complex structures, and proofread for errors.

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