# data[].attributes.body
1. The percentage of people who were born in Australia and who were born outside Australia living in urban, rural and town between 1995 and 2010.

2. The bar chart shows the percentage of people who ate five portions of fruits and vegetables per day in the UK from 2001 to 2008.

3. The graph below shows the number of overseas visitors to three different areas in a European country between 1987 and 2007.

4. The graph below shows the number of people taking part in a wildlife survey in Britain between 2001 and 2009.

5. The graph below gives information about the price of bananas in four countries between 1994 and 2004.

6. The bar chart shows the distribution of employment among agriculture, services, industries in three countries in 1990 and projected distribution in 2030.

7. The graph below shows the number of students from the US, the UK and Australia who studied in universities in other countries from 2002 to 2007.

8. The chart below shows the unemployment rate and the number of people leaving Ireland from 1988 to 2008.

9. The graph below shows the production of three forest industry products in a European country, namely timber, pulp and paper from 1980 to 2000.

10. The pie charts indicate changes in the proportions of energy produced in a country from 1983 to 2003.

11. The charts below show changes in the proportion of energy produced from different resources in country in 1985 and 2003.

# data[].attributes.body
1) The bar chart illustrates the expenditure on five categories of products in the years 2010 and 2015.

2) The chart illustrates the distribution of people born in Australia and those born abroad across urban, rural, and town areas between 1995 and 2010.

3) The bar chart illustrates the proportion of individuals in the UK who consumed five daily servings of fruits and vegetables from 2001 to 2008.

4) The line graph illustrates the number of international tourists who visited three different regions in a European country between 1987 and 2007.

5) The graph illustrates how many people participated in a wildlife survey in Britain over the period from 2001 to 2009.

6) The chart illustrates the fluctuations in banana prices across four countries over a ten-year span, from 1994 to 2004.

7) The bar chart illustrates employment patterns in agriculture, services, and industry sectors in three countries in 1990 and presents projections for 2030.

8) The line graph illustrates the number of students from the US, the UK, and Australia who pursued higher education abroad between 2002 and 2007.

9) The chart illustrates trends in the unemployment rate alongside the number of people emigrating from Ireland from 1988 to 2008.

10) The line graph illustrates the output of three types of forest-related products—timber, pulp, and paper—in a European country between 1980 and 2000.

11) The pie charts illustrate how the energy production mix changed in a particular country between 1983 and 2003.

12) The charts illustrate the shift in the energy generation structure by source in a country between 1985 and 2003.

# data[].attributes.body
+ The percentage of individuals whose birthplace is in Australia and those whose birthplace is outside Australia living in metropolitan, suburban and town between 1995 and 2010.

+ The bar graph demonstrates the percentage of individuals who consumed five servings of fruit and vegetables daily in the UK from 2001 to 2008.

+ The chart below illustrates how many abroad visitors to three distince areas in a European country between 1987 and 2007.

+ The chart below demostrates how many people participated in a wildlife study in Britain between 2001 and 2009.

+ The chart below shows the bananas cost in four distinct countries between 1994 and 2004

# data[].attributes.body
2) The proportion of Australian-born and foreign-born residents living in cities, rural areas, and towns from 1995 to 2010

3) The bar charts demonstrates the proportion of individuals in the UK consuming five daily servings of fruits and vegetables between 2001 and 2008

4) The following graph presents data on international tourists visiting three regions in a European country from 1987 to 2007

5) The graph displays how many individuals participated in a wildlife survey in Britain from 2001 to 2009

6) The graph provides data on banana prices in four different countries over the period 1994 to 2004

7) The bar graph compares employment distribution across agriculture, industry, and services in three countries in 1990 and forecasts for 2030

8) The chart presents the unemployment trends and the emigration figures in Ireland between 1988 and 2008

9) The graph illustrates the output of timber, pulp, and paper in a European country from 1980 to 2000

10) The pie charts depict how the shares of energy production sources in a country changed between 1983 and 2003

11) The charts below compare the proportions of energy generated from various sources in a country in 1985 and 2003

# data[].attributes.body
The percentage of individuals whose birthplace is in Australia and those whose birthplace is outside Australia living in metropolitan, suburban, and rural areas between 1995 and 2010.

The bar graph demonstrates the percentage of individuals who consumed five servings of fruit and vegetables daily in the UK from 2001 to 2008.

The chart below illustrates the number of foreign visitors to three distinct areas in a European country between 1987 and 2007.

The chart below demonstrates how many people participated in a wildlife study in Britain between 2001 and 2009.

The chart below shows the cost in four different countries between 1994 and 2004.

The bar chart illustrates employment patterns in agriculture, services, and industry sectors in three countries in 1990 and presents projections for 2030.

The line graph illustrates the number of students from the US, the UK, and Australia who pursued higher education abroad between 2002 and 2007.

The chart illustrates trends in the unemployment rate alongside the number of people emigrating from Ireland from 1988 to 2008.

The line graph illustrates the output of three types of forest-related products—timber, pulp, and paper—in a European country between 1980 and 2000.

The pie charts illustrate how the energy production mix changed in a particular country between 1983 and 2003.

The charts illustrate the shift in the energy generation structure by source in a country between

# data[].attributes.body
The collection of charts and graphs provides a variety of data sources and topics for IELTS Writing Task 1 practice. These include information on population distribution, dietary habits, international tourism, wildlife participation, fruit pricing, employment trends, student mobility, unemployment, industrial output, and energy production over different periods and across several countries.

Specifically, some charts show the percentage of people born in and outside Australia living in different areas between 1995 and 2010, as well as the proportion of UK citizens eating five portions of fruits and vegetables per day from 2001 to 2008. Other graphs highlight the number of overseas visitors to three distinct areas in a European country between 1987 and 2007 and the participation of people in a wildlife survey in Britain from 2001 to 2009.

Further data displays include information about banana prices in four countries from 1994 to 2004 and employment distributions across agriculture, services, and industries in three nations in 1980, with projections for 2020. Additionally, one graph illustrates the number of students from the US, UK, and Australia studying abroad from 2002 to 2007, while another shows both the unemployment rate and the number of people emigrating from Ireland between 1988 and 2008.

There is also data on the production of timber, pulp, and paper in a European country from 1980 to 2000, as well as pie charts presenting changes in energy production methods between 1983 and 2003. Lastly, a chart compares the proportion of energy generated from different sources in 1985 and 2003.

# data[].attributes.body
Specifically, some charts show the percentage of people born in and outside Australia living in different areas between 1995 and 2010, as well as the proportion of UK citizens eating five portions of fruits and vegetables per day from 2001 to 2008. Other graphs highlight the number of overseas visitors to three distinct areas in a European country between 1987 and 2007 and the participation of people in a wildlife survey in Britain from 2001 to 2009.

Further data displays include information about banana prices in four countries from 1994 to 2004 and employment distributions across agriculture, services, and industries in three nations in 1980, with projections for 2020. Additionally, one graph illustrates the number of students from the US, UK, and Australia studying abroad from 2002 to 2007, while another shows both the unemployment rate and the number of people emigrating from Ireland between 1988 and 2008.

There is also data on the production of timber, pulp, and paper in a European country from 1980 to 2000, as well as pie charts presenting changes in energy production methods between 1983 and 2003. Lastly, a chart compares the proportion of energy generated from different sources in 1985 and 2003.

# data[].attributes.headline
1.The bar chart compares the proportion of people born in and outside Australia who lived in urban, rural, and town areas between 1995 and 2010.

# data[].attributes.subject
1.The bar chart compares the proportion of people born in and outside Australia who lived in urban, rural, and town areas between 1995 and 2010.

# data[].attributes.body
2.

The bar chart illustrates the percentage of individuals in the UK who consumed five portions of fruits and vegetables daily from 2001 to 2008.

3.

The graph provides data on the number of overseas visitors to three different areas in a European country between 1987 and 2007.

4.

The chart shows the number of people who participated in a wildlife survey in Britain over the period from 2001 to 2009

6.

The bar chart presents the employment distribution in agriculture, services, and industry sectors across three countries in 1990 and the projected figures for 2030.

5.

The graph gives information about the banana prices in four different countries between 1994 and 2004.

7.

The graph illustrates the number of students from the US, UK, and Australia studying at foreign universities between 2002 and 2007

8.

The chart depicts the unemployment rate and the number of people emigrating from Ireland over a 20-year span from 1988 to 2008.

9.

The graph shows the production levels of timber, pulp, and paper—three major forest products—in a European country from 1980 to 2000

10.

The pie charts display changes in the proportion of energy production in a country between 1983 and 2003.

11.

The charts illustrate how the sources of energy production in a country changed between 1985 and 2003.

.

.

# data[].attributes.body
1. The chart illustrates the proportion of native-born and foreign-born Australians residents in urban, rural, and town areas from 1995 to 2010.

2. The bar chart illustrates the proportion of people who consumed five daily servings of fruits and vegetables in the UK between 2001 and 2008.

3. The chart illustrates how many international tourists visited three distinct areas in a European nation from 1987 to 2007.

4. The graph illustrates the number of participants in a wildlife survey conducted in Britain from 2001 to 2009.

5. The chart illustrates the banana prices across four countries during the period from 1994 to 2004.

6. The bar chart illustrates employment distribution across agriculture, services, and industry sectors in three countries in 1990 and includes projections for 2030.

7. The graph bellow shows how many students from the US, UK, and Australia attended universities abroad between 2002 and 2007.

8. The chart illustrates the levels of unemployment and emigration in Ireland over the period from 1988 to 2008.

9. The graph illustrates the output of timber, pulp and paper in a European country between 1980 and 2000.

10. The pie charts depict how the proportions of energy production changed in a particular country between 1983 and 2003.

11. The charts illustrates the proportions of energy generated from various sources in a country in the years 1985 and 2003.

# data[].attributes.body
1. The chart provides information about individuals with Australia as the country of birth and who we're not living in cities, rural and town between 1995 and 2010

2. The propotion of individuals consumed on 5 servings of fruits and vegetables on a daily basics in the UK

3. The graph below compares the variation in the number of abroad tourists to 3 distinctive European nation between 1987 and 2007

4. The graph illustrates fluctuations in the number of participatants in a natural life study in Britian

5. The graph below presents how much the bananas cost in 4 distinctive nations from 1994 to 2004

6. The bar chart compares the division of employment in agriculture, services, industries in 3 nations in 1990 and projected division in 2030

7. The graph displays the composition of the groups of abroad undergraduates from the US, the UK and Australia from 2002 to 2007

8. The percentage of unemployees and the change in individuals moving from Ireland from 1988 to 2008

9. The graph below illustrates the variation of manufacturing of 3 forest field goods in an European nation, called timber, pulp and paper from 1980 to 2000

10. The pie chart shows the percentage of the manufacturing of enegry in a nation from 1983 to 2003

11. The charts below indicates fluctuations in the number of enegry generated from distinctive resources in nation from 1985 to 2003

# data[].attributes.body
Overall, A significant rise was witnessed in the number of trash burning => burned in a European country. However, there was a plummet in the landfilled rubbish, compared to =>. It is noticeable that the difference between landfill and burn disposal => bỏ, dumping waste at sea => the amount of trash put down in the sea remained comparatively stable after => during the 4 years examined.

# data[].attributes.body
Overall, there were a fall in the number of landfillS, which was the largest figure in 2005. While => , while (ko dùng dấu chấm) the burning trash was seen an increase. Additionally, the amount of trash dumped into the sea remains virtually unchanged.

# data[].attributes.body
Overall, it is evident that landfill waste decreased sharply, while the burning method increased and became the main => common method by 2008. Additionally, the amount of trash dumped at sea stayed relatively stable over the period.

=> Thêm mấy từ in đậm vào bài nó smooth hơn nhé em

# data[].attributes.body
Overall, the amount of trash landfilled reduced significantly, while there were => was a steady rise in the amount of waste being burned. Additionally, trash dumped in the sea remained virtually unchanged over the period. It is also noticeable that the trash landfilled was by far the largest method in 2005.

# data[].attributes.body
Overall, there were almost decreases in the amount of landfilling waste while a growth => a rise (growth mình thường dùng ở dạng UN nhé em) was experienced in burning one. Additionally, waste which was (bỏ luôn cho gọn bài) dumped at sea remained virtually unchanged over the period. Moreover, despite being reduced of landfilling => landfill reduction, it was also seen clearly in the chart => it is evident that landfilling trash was once sorted to meet the largest => was the largest in .... Speaking of that, it was in 20 that burning rubbish was the most uncommonly used. However, burning one was witnessed by far the largest one comparing to landfilling and dumping at sea in the last year

# data[].attributes.body
Overall, there were rises => was a rise (số ít mà) in burning waste disposal => waste disposal by burning in one European country. Additionally, the percentage (=> bài này ko cho đơn vị nên ko dùng percentage nhé) of people using the landfill method has decreased significantly- which is (em muốn dùng dấu "-" thì phải bỏ "which is" nhé) the highest data in 2005. In => From 2005 to 2007, Dumping at sea has => had no fluctuation. But => , but in 2008, it has => had decreased not too much => insignificantly/ slightly and as clear as landfill and burning.

# data[].attributes.body
1. The chart illustrates the proportion of individuals born in Australia and those born abroad living in urban, rural, and town areas between 1995 and 2010.

2. The bar graph presents the percentage of people in the UK who consumed five servings of fruits and vegetables daily between 2001 and 2008.

3. The graph displays the number of international tourists visiting three distinct regions in a European nation from 1987 to 2007.

4. The graph illustrates how many individuals participated in a wildlife survey in Britain over the period from 2001 to 2009.

5. The chart provides data on banana prices in four different countries over the span of 1994 to 2004.

6. The bar chart compares employment distribution across agriculture, industry, and services sectors in three countries in 1990, with projections for 2030.

7. The graph illustrates the number of university students from the US, the UK, and Australia studying abroad between 2002 and 2007.

8. The chart displays trends in Ireland’s unemployment rate alongside figures for emigration from 1988 to 2008.

9. The graph shows the production volumes of timber, pulp, and paper—three key forest products—in a European country from 1980 to 2000.

10. The pie charts depict how the share of different energy sources in a country changed between 1983 and 2003.

11. The charts illustrate the shifts in the proportion of energy generated from various resources in a country in the years 1985 and 2003.

# data[].attributes.body
Overall, landfill significantly fall while burning method has dramatically declined. Dumping at sea remained relatively stable throughout 5 years examined.

# data[].attributes.body
Overall, there were rises => was a rise in the amount of trash being => Bỏ disposed by => of burning while a significant fall was seen in landfilling. Additionally, waste which was dumped into/ put down the ocean remained virtually unchanged over the period. It’s also noticeable that landfilled waste was by far the smallest => largest littering method in 2005 despite its dominance during 2005 to 2007 => in the last 3 years.

# data[].attributes.body
Overall, there was a significant decline in the number => amount of trash in the landfill => landfills (ko biết là bn hố rác nhen) while a rise was seen in trash was burning (câu này 2 động từ luôn này, dùng N phrase thành trash burning nha). Additionally, the dumping OF trash at the sea remained virtually unchanged through the 4 years examined.

# data[].attributes.body
Looking first at Australia and the US, British emigration to these countries both fluctuated. The figure for the former country saw a slight fall to a low of just under 40,000 after the first year, after which it experienced a rapid increase to a peak of

50,000 in 2006, which was by far the largest figure on the whole chart. It fell considerably, ending the period at 42,000. Similar changes, but to a lesser extent, were seen in the figure for the latter, hovering around the 20,000 mark throughout.

Meanwhile, British emigrants to Spain and New Zealand both decreased steadily from 32,000 to 28,000 and from 25,000 to 20,000 over the period. It is important to note that British immigrants in New Zealand reached parity with those in the US at both the beginning and the end of the period.

Turning finally to France, this country saw the most significant change.

Approximately 25,000 English people migrated to France in 2004, which matched the figures for New Zealand and the US, as seen above. This number witnessed a subsequent significant rise to a high of 33,000 and a final sharp decrease to 18,000 in the last year of the period.

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Overall, Australia experienced a significant increase in British emigrants, reaching a peak in 2006 before dropping slightly in 2007. Spain also saw a steady rise over the period, while New Zealand and the USA showed moderate fluctuations, with New Zealand hovering around similar figures. France, by contrast, remained relatively stable with only marginal variations.

In detail, Australia's numbers surged from 2004 to 2006, hitting a high of [specific number if available] before declining in 2007. Spain's figures climbed gradually, whereas New Zealand and the USA varied within a narrow range. France's emigration levels leveled off, showing negligible change throughout the years.

By comparison, Australia and Spain marked the most dramatic growth, while the other destinations remained comparatively unchanged.

# data[].attributes.body
The table compares the number of motor vehicles per 1,000 inhabitants in eight countries between 1990 and 2000.

Overall, Luxembourg reached a peak in both years, while Cambodia remained stable with no change. Most countries saw significant variations, though trends differed.

In detail, Luxembourg's figure increased dramatically from 548 to 728, hitting a high by 2000. Similarly, Brazil and Jordan experienced surges, with Jordan's numbers jumping from 68 to 157. Conversely, the Bahamas and Chile declined slightly, while Romania saw a marginal drop. New Zealand rose gradually, whereas Cambodia's data leveled off at just 1 vehicle per 1,000 people.

By comparison, Brazil and Jordan marked the most dramatic growth, while Cambodia showed negligible change throughout the decade.

# data[].attributes.body
First, the figure for the emigration of British => the number of British immigrants to the USA and Aus were both fluctuated. The figure of => for the Aus were had => saw/ experienced/ witnessed a little => marginal/ slight decrease to a low of => bỏ just under 40,000 in the first year, after which it bounceD back to reach the peak of 50,000 in 2006, which was the largest figure on the whole chart. It fell considerably and ended the period at 42,000. Similar changes, but to the => a lesser extent, in the chart for => bỏ that of USA, hovering about the 20,000 mark throughout.

However, the figures which were seen in the chart of the emigration of British to Spain and NZ fall => fell steadily from 32000 to 28000 and from 25000 to 20000, respectively, over the period. It is important to note that British immigrants in NZ reached parity with those in the US at both the beginning and the end of the period.

Ultimately, France had => saw the dramatic change in the British emigrants. Approximately

25,000 Britain=> British who settled in France in 2004 and this figure had the same level with the beginning figure of the USA and NZ . After which => ,after which it had => witnessed a jump and hit the high of 33,000, an equal number with the figure of Spain in 2005. At the end of the period, the figure had => underwent a sharp decline to 18,000. This figure had the same height => data with the USA in 2005 and lesser than the number of Spain immigrants in 2005 approximately twice as much as.

# data[].attributes.body
The percentage of workers with illness absence in the Netherlands stood under 50 percent in 1991, before rising to the peak of 60% during in 1992, which was the highest point => figure/ rate in the whole chart. After that, a significant decrease can be seen in the next 4 years to over 40%, before making a recovery to around 53% in the last year.

# data[].attributes.attachment_caption
Synonyms: To be absent from work due to sickness ~ taking leave from work due to illness ~ off from work ~ taking sick days/ Workforce ~ employees = workers = laborers

# data[].attributes.body
-The line chart demonstrate the propotion of people abscented from work due to sickness between 1991 and 2001

-Overall , Germany had a significant rise of absence which make it the dominance of the chart .The percentage of French people off from work has some decreased followed by an increasing from Swedish . It also can be seen that both UK and Germany share similar fluctuation at 2%

# data[].attributes.body
the goverment spending the line chart demonstrates the proportion of workers in five E countries taking fixed stays or more sickness absence per years between 1991 and 2001.

Overall, the number of labbers => laborers were absent from work due to illness in N (thì như thế nào???), S witnessed an upward trend. Additionally, the figures for U and G maintained => remained virtually unchanged over the whole period.

# data[].attributes.body
The line chart illustrates the proportion of employees in five European countries taking fixed stay or taking leave from work due to illness between 1991 and 2001.

Overall, the number of laborers were absent from work due to illness in Neverlands (thì sao nhỉ??? trend đâu??), Sweden witnessed an upward trend, while the figure for France experienced a downward trend. Additionally, the figures for the UK and Germany maintained => remained virtually unchanged over the whole period.

(Mất tiêu câu topic sentence ròi) Looking first at ..., the proportion of laborers taking leaving from work due to illness in the Netherlands witnessed a sharp increase from roughly 47% to 56% between 1991 and 1992, and then it surpassed the figure for France to become the leading feature => rate. After that, it plunged to a low of 42% in 1996, followed by a significant rise to 53% in the last year of the whole chart. It is noticeable that the figures for the Netherlands and France underwent similar changes in the first 9-year period (thiệt là giống trend hem??? Chỗ này mình nên so sánh Netherlands và Sweden do nó có xu hướng tăng nha em, sau đó mới tới France). A slight rise was witnessed in the number of employees off from work in France, from roughly 50% in 1991 to 51% in 1992,  after which it dropped to 41% in 1993, then continued to fall to a lesser extent to just under 32%, and a final fall at a consistent rate in the end of the period. The figure for Sweden experienced a fluctuation in the range from 30% to 32% from 1991 to 1995, prior to rocketing to approximately 45% in 1999, and then went up in a lesser extent to 47%.

=> Cấu trúc dùng ok rồi, nhưng phần sắp xếp ý thì xem lại cách nhóm hợp lý hơn và báo cáo đúng hơn nhé!

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In contrast, the percentage of workers absent due to illness in the UK and Germany remained consistently low throughout the period. Germany had the lowest rate overall, staying just below 2% from 1991 to 2001 with very little => minimal fluctuation. The UK experienced a slightly higher rate, around 2.5%, and although there were minor ups and downs, the figure remained relatively stable across the years. Meanwhile, France saw a steady decline in illness absence, starting at about 4.5% in 1991 and dropping gradually to around 3% by 2001. Compared to the Netherlands and Sweden, these three countries displayed lower and more stable illness absence rates.

=> Good job!

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Moving to the UK and Germany, these countries experienced contrasting changes in the first 2-year period. A marginal decrease can be seen in the figure for the UK between 1991 and 1993, followed by a fluctuation between 21% and 23% from 1994 to 2000, and finishing the period at 23%, with a slight growth. The share of laborers taking leave from work due to sickness in Germany as opposed to => is opposite with that data for the UK From 1991 to 1992, the . The statistics for Germany witnessed a decrease at a consistent rate, before varying in the range from 17% to 19% in the last 8-year period.

Ok đó, chỉ có phần gạch nó sai ngữ pháp thôi, câu đó của em nếu dùng "as opposed to" thì chưa có V. Với as opposed to mình dùng như liên từ nha

# data[].attributes.body
Moving to the UK and Germany, these countries experienced contrasting changes in the first 2-year period. A marginal decrease can be seen in the figure for the UK between 1991 and 1993, followed by a fluctuation between 21% and 23% from 1994 to 2000, and finishing the period at 23%, with a slight growth. The share of laborers taking leave from work due to sickness in Germany as opposed to that data for the UK From 1991 to 1992, the statistics for Germany witnessed a decrease at a consistent rate, before varying in the range from 17% to 19% in the last 8-year period.

# data[].attributes.body
The five line chart illustrates the proportion of workers in five European countries taking fixed stays or more sickness absences per year between 1991 and 2001.

Overall, Netherlands and Sweden were deep => ko dùng deep nhá increased from 1991 to 2001. In Netherlands, the percentage of 49% of workers in 1991, followed by a dramatic rise to nearly 55% in 2001. In Sweden, the percentage of 30% in 1991, after reducing to 48%. UK tends to increase slightly. France is significant decrease from 50% to 30% and Germany tends to decline slightly. In particular, UK and Germany have a percentage of workers who leave because sick the smallest and have the most uniform change, but the two countries have the opposite change.

=> Nồ, Overview ko report số liệu nha, chỉ nói những điều chung chung như xu hướng (tăng giảm, giữ nguyên) hoặc lớn nhất/ nhỏ nhất (nếu có)

# data[].attributes.body
The chart demonstrates the proportion of employees in five European countries taking fixed stays or more illness absences each year between 1991 and 2001.

Overall, there were almost increases in the percentage of the workers with sickness absence in most countries examined, except for that of France and Germany. It is also noticeable that Gemany had the most smallest number => consistently possessed by far the smallest rate in whole the chart over the period and the figures of => for the sickness absence workers in Netherlands was still on the top of the chart from 1992 to the end of the period.

(Thiếu mất câu topic sentence của tui rồi -_-. Looking first at ...) In the beginning of the period, the percentage of the workers with illness absence in France started at 50%, after which it saw a significant decline to 41% and continued to plummet to 53% at the end of the chart. Opposite with As opposed to France, the data of Sweden workers with illness absence fluctuated in the range from 30% to 33% in the early years of the period (early là năm nào á). Then it grew substantially before coverged => converging with the line => that of France in 1996 and continued to increase to the end of the period. As well as Sweden, the Netherlands had a jump from 48% and surpassed that of France in 1991 to take the first place, after which it had drop => dropped to 43% before jumping again to 52% at the end of the chart.

=> Sai chính tả quá nha, sau before/ after + Ving nhá

# data[].attributes.body
- The line chart demonstrateS the propoRtion of people abscented from work due to sickness between 1991 and 2001.

- Overall, Germany had => EXPERIENCED a significant rise of SICKNESS absence which made it a dominance of the chart (còn Sweden cũng tăng đâu mất tiêu rồi), WHILE the percentage of French people off from work witnessED a decrease/ WHILE THE OPPOSITE WAS TRUE FOR THAT OF FRANCE. It also can be seen that both UK and Germany share opposite fluctuationS over the period.

- (Câu topic sentence đâu mất tiêu rồi??? Looking first at ....)The percentage of French employees taking sick leave days was the highest in 1991 (report số luôn nha => at exactly 50%), which was surpassed by Netherlands later by 1992 to take the leading role before reaching the highest point with 60% => hitting a high of 60% (câu của em đc nhưng cách diễn đạt chưa hay). Addictionally, after 4 years , Netherlands experienced a significant decrease to reach a low of nearly 40% before increasing => making a recovery to more than 50% in the last year. Sweden also witnessed a sharply growth of illness absented workforce after having some decrease which is similar to Netherlands with lower extend => này diễn đạt chưa ok lắm (Relative similar changes, but at a lesser extent can be seen in the figure for Sweden, which hovered around 31% in the first 5 years, after which it spiked to around 45% in 1999, and a final slow increase to 47% in 2001). It is noticeable that Sweden and France shared opposite data with each other which can be seen in the fall of France and the rise of Sweden

=> Tại vì mình nhóm với phân chia báo cáo số liệu chưa logic nên bài nó bị lòng vòng nhen. Suggest là em nên báo cáo xong 1 nước trước (Netherlands) và main features xung quanh nó trước khi nhảy đến Sweden và France. Vì các số liệu nhiều nước đan xen và việc chưa báo cáo hết sl của nước này mà nhảy qua nước kia làm người đọc khó theo dõi nè

# data[].attributes.body
The line chart demonstrates the proportion of employees in five European countries taking fix stays or taking leave from work due to illness per year between 1991 and 2001.

Overall, there were noticeable differences in the percentage of illness absence among the five countries over the period, with the Netherlands recording the highest rates in most of the years examined. In contrast, Germany consistently had the lowest percentage throughout the years. Additionally, Sweden’s figure increased gradually and became the second highest by the end of the period (chưa cần đâu em --> bỏ vào body nhé), while the rates in France, the UK, and Germany remained relatively stable (ụa France có thay đổi nhiều mờ).

=> Em report sai xu hướng rồi, xu hướng mình so sánh đầu cuối để biết nó tăng hay giảm nhé

(Mất câu topic sentence rồi -_-. Looking first at ..) At the beginning of the period, the Netherlands had the highest percentage of workers with illness absence, at around 5% (vào năm bao nhiêu). This figure rise --> rose to about 5.5% in 1993, before dropping to nearly 4% in 1996. After that, it increased again and finished at almost 5.5% in 2001. Similarly, the percentage (của cái nào) in Sweden started at 3% in 1991. It stayed quite stable for a few years, then began to rise from 1995, reaching around 4.5% by the end of the period. This made Sweden the country with the second highest rate in 2001.

=> Ổn nhưng mà chú ý là báo cáo số liệu phải rõ ràng, the percentage thì phải nói rõ là tỷ lệ của cái gì luôn nhé, ko thì mình dùng that in/ of ...

# data[].attributes.body
The line chart illustrates the proportion of employees in five European countries who took fixed stays or more sickness absences per year between 1991 and 2001.

Overall, there were significant increases of workers which --> who (người mà) was --> were (workers là S) taking sick days in Netherlands, Sweden and the UK. However, =>, while France was seen to decrease. Additionally, while Germany experienced many fluctuations over the period.

(Thiếu câu topic sentence. Looking first at ...) The percentage of people who took leave from work due to illness in Netherlands and Sweden, which (em thêm which sẽ thành MĐQH --> thiếu V) showed a similar upward trend. Netherlands started at just under 50% and at 30% in Sweden in the first year --> The figures for Netherlands and Sweden started at just under 50% and 30%, respectively (viết như này dễ hiểu hơn). In 1992,, Netherlands (cái gì của Netherlands nè??) was rise --> rose (này ko dùng bị động đc) at around 55%, which reached (reaching: rút gọn MĐQH) to the peak in the chart, after which it saw a dramatic fall from 1993 to 1996, dropped --> dropping to 41%. But (However,) in 1997, the figure had a dramatic increase trend to below 50% and continued to rise to around 53% in the last years. However, Sweden experienced a brief fluctuation between 1992 and 1995, before rising to around 47% at the end of the period. In contrast, France started at 50% in 1991, and increased slightly 51% in 1992, after which it experiences --> experienced a significant decrease from 41% to around 30% during the period between 1993 and 199 ang remained virtually unchanged in the last five years => câu này đang có vấn đề về dấu câu nên đọc chưa hiểu nè.

=> Bài viết có dùng từ nối đã dạy, tuy nhiên còn sai ngữ pháp khá nhiều. Cần lưu ý các chỗ đã sửa nhé!

Bên cạnh đó, dùng S phải đầy đủ (cái gì của Netherlands thì giảm ...)

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The line chart illustrates the proportion of workers in five European countries taking fixed stays or more sickness absences per year between 1991 and 2001.

Overall, Netherlands and Sweden saw considerable (thấy gì em?). The UK tends to increase slightly. France is witnessed a significant decrease, and Germany tends to decline slightly. (khúc này sao thấy nó rời rạc quá, ko cần báo cáo kĩ từng trend giảm như nào, giảm tăng chung chung thôi nha, dùng cấu trúc "while" nè. In particular, the UK and Germany have => had a percentage of workers who leave because of sick ness the smallest => The UK and Germany's workers who took sickness leaves were the smallest and have => had the most uniform change, but these two countries have the opposite change. => câu này chưa hiểu lắm.

We can saw => ko bắt đầu như này nha (em xem lại bài mẫu nha) in 1991 France had the percentage of employees was the highest => the highest percentage of employees, which had at 50%, Netherlands was just in second. But the Netherlands was => experienced a considerable increase and surpassed France and become = became the first one. The percentage of workers in Netherlands was 55% in 1992, followed by a significant decrease to 41% in 1996, after increasing to 55% in 2001. The percentage of laborers in 1991 was 50%, and then it dramatic decrease => dramatically decreased to 31% and level to 30% in 2001. In Sweden, it started with 30% and increasing and decreasing steadily => 2 này ko nên để chung nhé, negligible throughout the first four years. Until 1996, the percentage (của cái gì á) increased dramatically and reached 45% in 1999, and then increased slightly and reached 48% in 2001.

=> Ròi, viết còn sai ngữ pháp nhiều quá nên là làm rối câu nà, rèn ngữ pháp lại nhé. Em tập viết lại bài mẫu trong slide 1 lần nữa, ko chỉnh sửa nội dung nha, ngẫm cách viết ngta nè

Học lại cấu trúc nhé, do còn viết sai

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(thiếu topic sentence nha??) From 1991 to 2001, the Netherlands consistently reported the highest percentage of workers taking sick leave among the five countries shown. The figure started at around 5% in 1991 and peaked at nearly 6% in 1993. Although => , although there was a noticeable decline between 1994 and 1996, reaching approximately 4.5%, the percentage began to rise again in the following years. By 2001, it had returned to just above 5%, maintaining its position as the country with the highest illness-related absence throughout the period. France followed a similar pattern, although at slightly lower levels. It began the decade with a rate of about 4%, experienced small fluctuations during the mid-1990s, and showed a gradual but steady increase over the years. By the end of the period, in 2001, France’s figure had climbed to almost 5%, overtaking Sweden and becoming the second highest on the chart.

=> ok dữ ta, good job

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The line chart illustrates the proportion of European employees off from work pers years between 1991 and 2001.

Overall, Netherlands stayed mostly at the highest rate of sickness absence. France experienced a gradual increase, whereas Sweden showed a significant decline. Additionally, the UK and Germany showed a fluctuate relatively trends => a relatively fluctuating trend/ relative fluctuation over the period.

=> Rồi xu hướng của Netherland đâu?

(Thiếu câu topic sentence rồi???) The Netherlands stood out with the highest percentage of workers taking sick leave, at approximately 5.5%, this => which (2 câu ko nối nhau bằng dấu ",") was significantly higher than in France and Sweden, where the figures were around 5% and 3%, respectively, in 1992. These two countries exhibited (phía trên em vừa nhắc 2 nc France and Sweden nên ngta sẽ nghĩ these là 2 nc này nha), while France rapidly fall => fell from 5% to 3%, Sweden showed the steadily => steady rise.

=> Body này có sáng tạo về cách viết, so sánh nhiều nhưng mà phần báo cáo số liệu chưa đầy đủ

Chia wordform sai nhiều nha -_-

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INTRO

the line chart illustrated => illustrates the proportion of the workforce took => taking sick days from 1991 to 2001 in five nations

OVERVIEW

overall, the percentage of workers with illness in both the UK and GERMANY remained virtually unchanged between 1991 and 2001. A slightly increase was seen in the percentage of workers off from work in Netherlands over the period. Meanwhile, there was a significant growth in the percentage of the workforce being absent from work due to illness in France , as opposed to opposite with reducing sharply in that of Sweden.

BODY 1

(topic sentence??) The proportion of taking leave from work due to illness in France was the highest in exactly 50% from the first year, after which it was passed by a slightly rise in Netherlands from around 48% to 54%, so => ko dùng so Netherlands was the on top of the propotion of workforce off from work in the following years. However, the figure in France dropped significantly from around 51% to 30% from 1991 to 2001. Simultaneously, the percentage in Sweden rose sharply from exactly 30% to nearly 50%, this => which indicates that trends in Sweden and France were contrasting through => over 10 years. After three countries with irregular fluctuations, the percentage of workers taking sick leave in the UK remained relatively stable, with no significant changes. Despite the stability, it still ranked as the second lowest among all countries shown in the chart. Finally, Germany had the lowest percentage of people taking sick leave among all the countries shown. Over the span of 10 years, this figure remained around 20%, showing a stable trend similar to that of the UK, but at a consistently lower level.

=> Good job nha

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The table illustrates oil manufacture (kiểu manufacture nó là process of sth, mình nên dùng nó dưới dạng Verb) => the amount of oil produced/ manufactured per day in Nigeria, Chad, Congo, and Somalia from 2000 to 2004.

Overall, Nigeria and Congo produced the highest amount of oil while Chad and Somalia are both share the lowest place. (Rồi cái trends đâu????)

Looking first at Nigerian and Congolese oil production statistics, there was a slight increase of => in oil barrels from between 2000 and 2001 with 5,000 barrels which makes => made it 210,000 in total in that year (em nêu 2 năm rồi that là năm nào => này văn nói quá nhe). After that, Nigeria experienced a small fall with 20,000 barrels before rising again to its peak in 2004 with 213,000 barrels. Congo, in the other hand => bu contrast, witnessed a consistently decline from 275,000 barrels a day to 203,000 at => in 2004, which its dominance got => and then it surpassed by Nigeria in that period.

Turning to Chad and Somalia, it is noticeable that Chad didn't (ko viết tắt) have any data (có data mà chỉ là sản lượng là 0 thôi) in the first 3 years and then started with daily 8,000 barrels per day before reaching to its peak at 50,000 in 2004. Additionally, Somalia made a gradual rise yearly from 5,000 in 2000 and reaches ed its peak at 50,000 in 4 years,,, which sharesed the same statistic with Chad in this year.

Viết sai ngữ pháp vs dùng từ tùm lum quá nha, xem lại bài của Ngọc tham khảo nhé

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The chart illustrates the amount of oil produced on a daily basis in 4 countries over a 4-year period starting from 2000.

Overall, with the exception of the Congo, which experienced a modest decline, all other nations recorded increases in the amount of daily oil production. It is also noticeable that the statistics for Nigeria is the largest, with Chad and Somalia being the smallest by the end of the period.

Looking first at the volume of oil produced per day in Nigeria and Congo, which respectively consistently (thay chữ này cho đa dạng) took the first and the second places over the whole period. A slight rise can be seen in the figure for Nigeria from 205,000 to 210,000 between 2000 and 2001, followed by a modest fall to 190,000 in 2002, then bounced back to 210,000 in 2003 and surpassed the figure for Congo at 213,000 in 2004 to become => take a leading role by the end of the period. The quantity of per-day => daily oil production in Congo witnessed a decline at a consistent rate (dùng như này tỉ lệ ko thay đổi) throughout the period (báo cáo số liệu nc này luôn nha em).

With regard to the figures for Chad and Somalia, which =>whose figures were the lowest role in the whole period. The level of oil production on a daily basis in Chad reached a plateau (ủa này là đạt đỉnh mà???) in the first 3 years at 0 barrels, prior to (nó ko dùng sau dấu phẩy đâu em) => before soaring to 50,000 in 2004, which is equal to the data of Somalia in the same year. The statistic of Somalia saw a marginal growth from 5,000 to 50,000 (years??) - => ,,,10 times as much as the figure of the first year.

Hem nên dùng mấy từ lạ lạ mà ko check từ điển nho.

prior to em dùng như này: I saw her stealing my friend wallet prior to leaving our classroom.

statistics dùng cũng ok nhưng mà chú ý "s": khi nói về số liệu của nc đó thì dùng "statistics", còn khi nói 1 single number của dãy số liệu đó thôi thì dùng "statistic"

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The chart illustrates how much oil is => was made daily in 4 countries between 2000 and 2004.

Overall, the levels of oil production increased significantly in most countries, except for Congo, where it steadily declined. Additionally, Nigeria was the biggest oil producer throughout the period, while Chad and Somalia experienced only slight growth over the four years.

Looking first at Nigeria, the amount of oil produced started at 205,000 and rose to 210,000 in 2001, after which the => this figure/ it was a slightly decreased => decreased slightly in 2002 at => to 190,000 before increasing again/ bounced back to 213,000 by 2004, making it the highest oil produced. In contrast, Congo began at 275,000, which is=> was the peak over the period. However, in the next year,,, oil output dropped sharply to 234,000 and then it continued to decrease from 222,000 to 215,000 between 2001 and 2003. Finally, the figure it fell to 203,000, placing it in second place.

Turning to Chad and Somalia, they had a similar pattern of oil production per day. Chad produced no oil during the first 3 years and reached 8,000 barrels per day in 2003, followed by a dramatic rise to 50,000 in the last year. Meanwhile, Somalia was at 5,000 and rose to 8,000 then to 17,000, after that it was 21,000 from 2001 to 2003. In the final year, oil production in Somalia equalled that of Congo, at 50,000.

Nhớ thêm đơn vị là barrels sau số liệu nhé, còn lại good job rùi nhen

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The table illustrates the manufacture of oil on daily basis in Nigeria, Chad, Congo and Somalia between 2000 and 2004.

Overall, while Congo was the leading oil producer at the beginning of the period, its production steadily declined over the years. In contrast, Chad and Somalia experienced significant increases in their output, especially towards the end of the period. Nigeria showed relatively stable figures throughout.,

Chad and Somalia both started with low or no oil production, but their outputs increased remarkably over time. Chad produced no oil until 2003, when it entered the market with 8,000 barrels per day, then rapidly escalated to 50,000 barrels in 2004. Similarly, Somalia’s production rose steadily from 5,000 barrels in 2000 to match Chad’s figure of 50,000 barrels by the end of the period. Despite their late start, these two countries showed strong upward trends, in contrast to more established producers.

In contrast, Nigeria and Congo, both of which had substantial oil output in 2000, followed divergent patterns. Nigeria maintained relatively stable production, beginning with 205,000 barrels in 2000 and ending with a slightly higher figure of 213,000 in 2004. Congo, on the other hand, experienced a consistent decline, falling from the highest initial production of 275,000 barrels in 2000 to 203,000 barrels by 2004. This inverse relationship highlights how Nigeria’s industry remained steady, whereas Congo’s oil production gradually lost momentum over time.

In summary, while newer producers like Chad and Somalia showed dramatic growth, established producers followed more contrasting trends, with Nigeria maintaining output and Congo experiencing a decline.

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This table below illustrates how much oil make on a daily basis in 4 countries form 2000 to 2004.

Overall, almost countries have => had an increase in oil except for Congo. In contrast, Chad and Somalia have increase in oil production, especially in the last two years. Nigeria is the largest amount (nước này sao mà là largest amount đc dị nhỏ => producer) of oil in the 4 Countries.

In detail, Congo began with the highest output at 275,000 barrels per day in 2000. However, this number dropped steadily to 203,000 barrels in 2004. Nigeria produced 205,000 barrels per day, => .... This countries => country increased slightly in first two years and decreased to 190,000 in 2002. In 2003, Nigeria increased equal number of Barrels with 2001 => the same level and up to 213,000 in 2004.

Turning to Chad, in the first three years,,,, has =>had no production, but it started to produce to 8,000 barrels in 2003 and reaching => reached 50,000 in 2004. Similarly, Somalia began with 5,000 barrels in 2000 and show => saw a strong => significant growth to 50,000 barrels in 2004, equal to the daily oil make => made from Chad.

In conclusion, Nigeria and Congo have the highest beginning and still keeping the position after 4 years. Chad and Somalia have smallest barrels but produce significantly in 2004. => Ê task 1 hong có conclusion nha =))))

Sai ngữ pháp với quên chia thì nha, em tham khảo bài Đông Nghi nhé

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The table illustrates the daily oil production (in barrels per day) in four African countries—Nigeria, Chad, Congo, and Somalia—from the year 2000 to 2004.

Overall, Congo produced the most oil throughout the period, despite a steady decline. Nigeria’s production remained relatively stable, while Chad and Somalia experienced significant increases in output by 2004 after starting with very low or no production.

In 2000, Congo had the highest production at 275,000 barrels per day, but this figure fell each year, ending at 203,000 barrels in 2004. Nigeria’s oil output fluctuated slightly, starting at 205,000 in 2000, dropping to 190,000 in 2002, and rising again to 213,000 in 2004.

Chad did not produce any oil in the first three years, but began output in 2003 at 8,000 barrels and saw a substantial increase to 50,000 barrels per day in 2004. Similarly, Somalia started at just 5,000 barrels in 2000 but consistently increased its production to reach the same level as Chad by 2004.

In conclusion, while Congo and Nigeria remained the dominant oil producers throughout the period, newer producers like Chad and Somalia showed rapid growth, particularly in the final year.

Bài này của chat GPT hả?? Body 1, Ms ko dạy viết conclusion nhé em. Viết lại bài này nha. Tham khảo cách viết của Đông Nghi

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The table illustrates the amount of oil is => was manufactured everyday in 4 countries in from 2000 to 2004.

Overall, there was => were almost increases in the quantity of oil is (mệnh đề qh rút gọn) made day-to-day in 4 countries,,, except for that of Congo, which hold => held the first position in => at the beginning of the chart. It is also noticeable that Nigeria jumped to take the leading role,,, while Chad and Somalia both hold the last position at the end of the chart.

Looking first at the number of oil was produced per day in Congo and Nigeria, which had the both largest numbers in the whole chart. The figure of => for the daily oil production in Nigeria saw a marginal rise from 205.,,,,000 (dấu ngăn cách đơn vị là "," nhé) barrels to 210.000 barrels at the beginning of the period, after which it fell significantly to 190.000 barrels before making a recovery to 210.000 again in 2003 and continued to grow and surpassed the ammount of oil in Congo to take the leading role with 213.000 barrels at the end of the period. As opposed to Nigeria, the Congolese oil was produced per day was started at the top number of the whole chart with 275.000 barrels of oil before it saw a non-stop => consistent decline from 2001 to the end of the chart,,,, and ending at 203.000 barrels.

About that for Turning next to Chad and Somalia , there were => was a dramatic growth about => in the oil production in both countries. In the first three years of the period, Chad didn’t => did not join into the race of produce oil so the figure in this three years of Chad if 0 barrels (thừa). However, it saw a considerable increase in 2003 when it jumped from 0 to 8.000 barrels and it continued to spike and ending => ended at 50.000 at the end of the period. Like Chad, Somalia started with 5.000 barrels of oil in 2000, after which it started to grow continuously to the end of the chart before ending at 50.000 barrels, which was ten times as much as the quantity in the first year of the period and this number helped => made Somalia stand in the same level with Chad in 2004.

Cách diễn đạt tốt hơn nhiều rồi nhé, tuy nhiên vẫn còn lỗi sai ngữ pháp như chia thì sai, giới từ. Em xem lại bài.