The charts show the frequency of happiness of different age groups and two groups of workers in Europe in the previous four weeks. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

Part 1 (Academic)
6.0

Sample Essay with Corrections

The charts is showing the happiness frequency of different groups in Europe over the last 4 weeks. The groups include diferent age groups and alsovarious age categories and two worker groups. In the age groups chart, the 65 and over age group haves the highest frequency of being happy all the time, at around 18%. The 50-64 age group ifollows clowersely, at around 16%. The 25-49 age group is even lower, at aroundpproximately 14%. The under 25 age group haves the lowest frequency of being happy all the time, at around 12% only. The age groups chart also showillustrates the frequency of being happy not all the time. The under 25 age group haves the highest frequency at around 80%. The 25-49 age group is lower at around 77%. The 50-64 age group is even lower at around 75%. AndIn contrast, the 65 and over age group has the lowest frequency of being happy not all the time, at around 60% only. In the worker groups chart, self-employed workers haveexhibit a higher frequency of being happy all the time compared to employed workers. Aroundpproximately 20% of self-employed workers are happy all the time, while only around 14% of employed workers are happy allport the tisame. However, employed workers have a lower frequency of being happy not all the time compared to self-employed workers. Arboundt 75% of employed workers are happy not all the time, while around 78% of self-employed workers are happy not all the time. In conclusionsummary, the charts showindicate that happiness frequency varies by age group and worker group in Europe. Older age groups and self-employed workers tend to have a higher frequency of being happy all the time, whileereas younger age groups and employed workers haveshow a higher frequency of being happy not all the time.
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Expert Feedback

The essay effectively summarizes the main features of the charts and makes relevant comparisons between different age groups and worker groups, which is a key strength. However, there are critical areas for improvement, particularly in grammatical accuracy and the use of cohesive devices. The introduction has been adjusted to provide a clearer overview, and spelling errors have been corrected. Additionally, transitions between paragraphs have been improved for better flow. Further improvements could include varying vocabulary to avoid repetition and enhancing the analysis by discussing trends or implications of the data. The tone used is appropriate for an academic task, maintaining a formal and objective style throughout.

Detailed Scores

Coherence And Cohesion
The essay is generally coherent, with a logical progression of ideas. However, the use of cohesive devices could be improved. For instance, transitions between paragraphs could be smoother, and the use of linking words such as 'furthermore' or 'in addition' would enhance the flow of information.
6.0
Grammatical Range And Accuracy
The writing contains several grammatical errors, such as subject-verb agreement issues ('The charts is showing' should be 'The charts show') and awkward phrasing. While the overall meaning is clear, these errors affect the clarity and professionalism of the writing. To improve, the writer should focus on proofreading for grammatical accuracy and varying sentence structures.
5.5
Lexical Resource
The vocabulary used is appropriate for the task, but there are several spelling errors (e.g., 'diferent' instead of 'different') that detract from the overall quality. Additionally, the range of vocabulary is somewhat limited; using synonyms or more varied expressions could improve the score. For example, instead of repeating 'happy all the time,' alternative phrases could be employed.
6.0
Task Achievement
The response addresses the task by summarizing the main features of the charts and making relevant comparisons between different age groups and worker groups. However, the writing could be improved by providing a clearer overview and more detailed analysis of the data. For example, including specific percentages in the introduction would enhance clarity.
6.5

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