# data[].attributes.body
The region 1 peaking in 2010 , before considerably falling to about 7 milion tonnes in2040

# data[].attributes.body
There was a gradually growth in the number of CO2 releases up to 9 million tons in 2010. However, there was a significant drop to 7 million tons in the year of 2040

# data[].attributes.body
There was significantly increase over 1 million tons in the CO2 release in 2010, before substantially dropping to around of 7 million tons in the year of 2040

# data[].attributes.headline
After peaking in 2010, Region 1’s CO2 emissions gradually declined to about 7 million tonnes by 2040.

# data[].attributes.subject
After peaking in 2010, Region 1’s CO2 emissions gradually declined to about 7 million tonnes by 2040.

# data[].attributes.body
The amount of CO2 release in Region 4 stay unchanged to 2010 before hitting an upward trend to over 4 million tons. Although there is a slight decrease, it is predicted to continue to increase to about 5 million tons.

# data[].attributes.body
1/ Xu hướng trước, followed by + xu hướng sau (Nphr)... = , which is / was followed by.... 

Ex:

• There was a dramatic growth in the number of factories in Japan to 120.000 in 2010, followed by a sharp decrease to 1,000 in 2015.

• There was a considerable increase to 1500 in the number of children doing athletics in 2010, followed by a gradual decrease to 1200 in 2015.

2/ Xu hướng trước, before + xu hướng sau (V-ing)

• The number of factories in Japan experienced an increase to 120,000 in 2010, before hitting a free fall to 1,000 in 2015.

3/ Xu hướng sau, after + xu hướng trước (V-ing)

The figure for factories in Japan hit a free fall to 1,000 in 2o15, after undergoing an increase to 120,000 in 2010.

4/ start(ed) off with / stand (stood) at (điểm đầu tiên)

5/ despite + Nph/V-ing diễn tả xu hướng ở phía trước mà không quan trọng lắm

. By contrast, despite some minor fluctuations around 10 to 15% during the first 20 years, the figure for zoo visitors then significantly increased to 20% in the final year.

6/ Structure for predictions (dùng cho những bài cho thời gian kéo đến tương lai): to be expected/forecasted/likely to + V

7/ Diễn tả năm dùng giới từ:

In/By + năm

Over the next X years (diễn tả sự thay đổi sau bao nhiêu năm)

# data[].attributes.headline
Region 1 peaked in 2010 before gradually declining to about 7 millions tonnes by 2040

# data[].attributes.subject
Region 1 peaked in 2010 before gradually declining to about 7 millions tonnes by 2040

# data[].attributes.headline
Unlike some other regions that fluctuated, Region 4 experienced a smooth and steady decrease in emissions. This suggests effective and consistent efforts to reduce CO2 over time.

# data[].attributes.subject
Unlike some other regions that fluctuated, Region 4 experienced a smooth and steady decrease in emissions. This suggests effective and consistent efforts to reduce CO2 over time.

# data[].attributes.body
Region 4 emitted about 6 million tonnes in 2000 and showed a steady decline, reaching 4 million by 2040. Despite its high starting point, it had one of the most consistent downward trends.

# data[].attributes.body
The amount of co2 emited in region4 level off from 2000 to 2010 , before hitting grow to4 milion in 2020 and they forecast to rise about 5 milion in 2040

# data[].attributes.body
The linegraph illustrate the CO2 emissions of five regions between 2000 to 2020, and prediction up to the year 2040.

# data[].attributes.body
The amount of co2 emited in region2 fall slowly about 6 milions tons from 2000 to 2010

, then showed with level between 6and6.5 milion tons from 2010 to 2040

Region 3 showed a steady increase in CO2 emissions. In 2000, the figure was about 3.5 million tonnes. This rose gradually, and by 2020, it had reached around 5.5 million tonnes. The growth is expected to continue, and by 2040, emissions may hit nearly 6.5 million tonnes.

Region 5 had the lowest emissions, remaining under 2 million tonnes from 2000 to 2040.

# data[].attributes.body
Intro: The line graph gives data about the CO2 elections of 5 regions over the next 20 years from 2000 to 2020 and anticipation up to the year 2040. Provide an overview of the information bt identifying and describing the important details, and include comparison where appriate

Overview: It can be seen that the amount of CO2 is increasing slowly

# data[].attributes.headline
In 2010 the level of CO2 emissions in Region 1 increased to 9 tons over the period between 2000 and 2010 after fall considerable to 7 tons in 2040. Meanwhile there was an decreased of 2 tons in the amount of CO2 emissions in Region 4 after 40 years

# data[].attributes.subject
In 2010 the level of CO2 emissions in Region 1 increased to 9 tons over the period between 2000 and 2010 after fall considerable to 7 tons in 2040. Meanwhile there was an decreased of 2 tons in the amount of CO2 emissions in Region 4 after 40 years

# data[].attributes.body
There is a big difference between the amount of CO2 released in Region 1 and Region 4. There was a dramatic growth in Region 1, increased to more than 9 million tons in 2010 before hitting a downfall to 7 million tons in 2040. While Region 4 was remain unchanged until 2010, then it slowly go up and stopped at 5 million tons in 2040

# data[].attributes.body
The amuont of co2 emission in region1 has reach a peak 9 milions tons while the co2 of region2 is hit a low about 1 milions Tons

# data[].attributes.headline
Overall, while Region 1 fell over time, Region 3 rose steadily. Region 2 stayed stable, and Region 5 remained the lowest

# data[].attributes.subject
Overall, while Region 1 fell over time, Region 3 rose steadily. Region 2 stayed stable, and Region 5 remained the lowest

# data[].attributes.body
It is clear that while the level of CO2 emissions in Region 3 and Region 4 increased significantly the opposite the level of CO2 emissionss Region 1. Also the figure for the amount of CO2 emissions in Region 2 and Region 5 fluctuated during the period

# data[].attributes.body
Overall, while the level of CO2 emmision in Region 1 saw a decline, the level of CO2 emmision Region 3 experienced growth. The level of CO2 emmision Region 2 changed little, and Region 5 had the lowest levels.

# data[].attributes.headline
the bar chart compares the nurmber of spending in France and UK on five consumer goods in 2010 

# data[].attributes.subject
the bar chart compares the nurmber of spending in France and UK on five consumer goods in 2010 

# data[].attributes.body
Overall, the UK spent more than France on most consumer goods, especially on cars and cameras. Meanwhile, France spent slightly more than the UK only on perfumes and computers.

# data[].attributes.headline
Overall, the UK spent more than France, except on perfumes and computers

# data[].attributes.subject
Overall, the UK spent more than France, except on perfumes and computers

# data[].attributes.body
The barchart illustrate the amount of pay out in france and uk on different consumer goods in 2010.Overall The French buy car , boôk and camera less than the British while they buy computer and perfume than the Bristish

# data[].attributes.body
In comparison to the stability birth rate in Japan, which saw no significant change, the stability of India declined sharply

# data[].attributes.body
﻿﻿﻿The percentage of students who preferred online learning rose compared to the rate for classroom learning, which remained unchanged.

# data[].attributes.body
4. The population in urban areas expanded quickly compared to rural areas, who limited development increased slightly

# data[].attributes.body
The amount of energy produced from wind grew steadily compared to solar energy, who was initially low, grow faster.

# data[].attributes.body
Oil consumption in the transport sector that was so high continued to go up significantly compare to industrial consumption fell

# data[].attributes.body
Đức Ái: Câu 9 . In comparison to the numbers of visitors to paid attractions declined, the number of visitors to museums, which were free to enter, increased.

# data[].attributes.body
Singapore had 80% internet access compared to Vietnam, which had more visible infrastructure investment, reached just 60%

# data[].attributes.body
In 2020,Germany exported 20 million tons, compared to only 10 million tons by France, focusing on domestic markets.

# data[].attributes.body
The category that represented food and beverages . It remained stable

# data[].attributes.body
Multiplier words:

double, triple, quadruple, quintuple, sextuple: làm V hoặc Adj

Vd: X doubled / There was a double increase in X

"-fold" words:

twofold, threefold, fourfold, sixfold: làm Adj hoặc Adv

Vd: increased twofold / twofold increase

# data[].attributes.body
The sector which showed a steady rise was related to renewable energy

# data[].attributes.body
The age group which accounted for 40% of internet users consisted of people aged 18-25

# data[].attributes.body
1. The chart which compares mobile phone usage includes data from five countries.

# data[].attributes.headline
Đức Ái câu 8: The city where is located in the southern region, experienced a population boom.

# data[].attributes.subject
Đức Ái câu 8: The city where is located in the southern region, experienced a population boom.

# data[].attributes.body
4. The two companies which invested in technology, saw significant gtlrowth in profits

# data[].attributes.body
The year marked a sharp increase in emissions, which followed a period of stability.

# data[].attributes.body
The number of visitors increased double

# data[].attributes.body
Production quadrupled from 500 units to 2,000 units

# data[].attributes.headline
Relative Clause: Review (Ôn tập mệnh đề quan hệ)

# data[].attributes.subject
Relative Clause: Review (Ôn tập mệnh đề quan hệ)

# data[].attributes.body
I. Relative pronouns (Đại từ quan hệ):

1/ who + V (chỉ người làm S)

2/ whom + S + V (chỉ người làm O)

3/ which + V (chỉ vật)

4/ that (có thể thay cho who, whom, which)

5/ whose + N + V (sở hữu)

II. Relative adverbs (Trạng từ quan hệ):

6/ where + S + V (chỉ nơi chốn)

7/ when + S + V (chỉ thời gian)

8/ why + S + V (chỉ lí do)

# data[].attributes.body
the population quintuple to go from 1million to 5 million

# data[].attributes.body
1. The number of smartphone users increased three times as many as between 2010 and 2020

2. The company’s revenue increased two times as high as after launching a new product

# data[].attributes.body
Ái câu4: The profit quintuple from 200,000 to 800,000

câu5:Internet usage triple from 10% to 30%

# data[].attributes.body
Car sales saw a twofold increase

# data[].attributes.body
There was a fourfold rise in energy consumption

# data[].attributes.body
Ái câu 5: Enrollment saw a fivefold growth.

# data[].attributes.body
the company had a fivefold to grow increase in market share

# data[].attributes.body
The revenue experienced a threefold to $300,000 increase.

# data[].attributes.body
the number of international tour 2 times as many as in 5 years

# data[].attributes.body
Smartphone sales in Asia were threetimes as many as those in Europe.

# data[].attributes.body
3.Production in 2025 is expected to five times as much as compared to 2020

4. Online learning participation rise 3 times as much as during the pandemic

# data[].attributes.body
Carbon emissions from industry in 2020 were three times as high as in 2000.

# data[].attributes.body
5. The demand for electric cars increased 5 times as much as in the last decade

6. The export volume rose 4 times as much as over the 15- year period

# data[].attributes.body
Ái câu 10: Water consumption in agriculture showed four as much as compared to household usage.

# data[].attributes.body
The bar chart shows the percentage of adults aged 25–34 and 55–64 who completed high school in six countries in 2010.

Overall, younger age group had higher education levels than older age group ones in most countries, except Germany where both groups were similar.

In Germany and the USA, about 85–90% of both age groups completed high school, with a slight increase among younger adults in the USA. Russia also saw a rise from around 75% to over 90%.

South Korea showed the most dramatic gap, from about 60% to nearly 95%.In contrast, Brazil and China had much lower figures. Brazil increased from 30% to 60%, while China remained the lowest, with under 20% for older adults and just over 30% for younger ones.

# data[].attributes.body
Overall, Germany, USA and Russia have the largest number of university-educated adults for both age groups, while Korea has the largest number of young adults with high school degrees, but in the remaining two countries, China and Brazil, both age groups are still quite low.

In detail, the numbers of older age group stand at 77% - 83% and yonger age group stand at 82% - 83% of Germany, USA, and Russia in 2010.

There was the older age group stand at 17%-41% and the younger group stand at 20%-99% in the number of South Korea, Brazil and China in 2010.

# data[].attributes.body
The given chart illustrates the percentage of adults attaining high school education in 6 different countries in 2010.

It is clear that Germany and USA have the largest number of adults aged 55-64 years old with high school education level, while Korea has the biggest number of adults aged 25-34 years old.

As can be seen from the bar chart, the highest percentage of high school education level in the older age group was USA with more than 90% people. Similarly, German and Russian older age group were the nest two highest with the percentage of 90% and 70%. On the other hand, the percentage of the younger group attaining high school education level in USA, Germany and Russia, respectively were 90%, over 80% and more than 90%.

Of the other countries, South Korea has the largest younger age group attaining high school education level. Brazil and China younger age group percentage were low, with about 50% and 20%. In contrast to the first 3 countries, South Korea, Brazil and China had a low number of the older age group attaining high school education, respectively more than 40%, over 20% and 10%.

# data[].attributes.body
The bar chart compares the percentage of adults attining high school education in six different countries in 2010

Overall, The country with the highest number of adults with a high school education are Germany and USA. In which, S.Korea is the country with the highest percentage of people aged 25-34

Looking at the chart is more detail, Germany, USA and Russia had the highest number of people with high school education of all. The percentages of people in (55-64 year-olds) older age group were, respectively 82%, 90% and 70%, and the vice versa, people in (25-34 year-olds) younger age group were, respectively 89% 89% and 91%

On the other hand, S.Korea, Brazil and Chian had lower percentages than the countries above Most significantly, S.Korea had the highest percentage of people in the younger age group of the 6 countries with 95%. When S.Korea has the highest percentage, China had the lowest percentage with 20%. At the same time, China was also the country with the lowest number of people in the older age group at all with, to with of only 10%

# data[].attributes.body
The barchart compares the percentage of adults attaining high school education six diffrent countries in 2010 . Germany and USA is the most quantity of university degree . SKorea has the most young people in high school .

There were about 85% older age group of attaining high school in Germany while in China they only had 10% , the proportion of younger age group is 90% in Germany equal with younger age group in theUSA and % people age 55-64 year old in the USA is about 90% so high in six countries next the percentage of Russia have around 70% of older age group and 95% of younger age group . SKorea achieved an impressively high percentage of people in 25-34 year old was about 97% while people in 55-64 year old was 45% . Brazil and China had low educational attainment rates in six cuontries were 25 %and 10% of younger age group , 20% and 45% of older age group respectively

# data[].attributes.body
The graph shows energy consumption in the USA by fuel type from 1980 to 2030.

Overall, fossil fuels (petrol and oil, coal, natural gas) dominate and are projected to continue rising, while renewable sources remain low.

Petrol and oil had the highest usage, around 35 quadrillion units in 1980, and are expected to reach nearly 50 by 2030. Coal rose steadily from 15 to about 30 units, while natural gas fluctuated but is predicted to remain at around 25.

In contrast, nuclear, solar/wind, and hydropower stayed below 10 units throughout. Nuclear grew slightly and is expected to rise slowly. Solar and wind showed gradual growth, while hydropower remained almost unchanged.

Fossil fuels will continue to dominate U.S. energy use, with only modest increases in renewable sources by 2030.

# data[].attributes.body
The line graph illustrates the consumption of six different types of energy in the USA over a period from 1980 to 2030.

Overall, petrol and oil were consistently the most used sources and are expected to remain dominant. Coal and natural gas also played major roles. In contrast, nuclear, solar/wind, and hydropower contributed much less and are projected to grow slowly.

Petrol and oil consumption started at about 35 quadrillion units in 1980. Despite a slight drop in the mid-1980s, it steadily increased and is predicted to reach nearly 50 by 2030. Coal started at around 15 units and is projected to rise significantly to about 30. Natural gas followed a fluctuating pattern and is expected to level off at about 25 units.

On the other hand, alternative energy sources have remained at relatively low levels. Nuclear power grew slightly from under 5 to around 7 quadrillion units and is predicted to increase marginally by 2030. Solar and wind energy followed a similar trend, starting below 2 quadrillion units and projected to reach about 5 quadrillion units. Hydropower, although initially a bit higher than solar/wind, remained nearly unchanged across the period.

# data[].attributes.body
The line graph shows information about energy consumption in the USA from 1980 to 2030

Overall, non-renewable energy (petrol, oil and coal) always has a very high dominane . On the contrary, renewable energy (Nuclear, solar, wind and hydropower always tends to be very low.

In 1980, petrol and oil reached a peak

consumption of 35 quadrillion units, followed by natural gas and coal. By contrast, renewable energy stayed below 10 units

In 2030, petrol and gas diesel comsumption is expected to continue to rise sharly to 50 quadrillion units and remain at the top. Coal is expected to surpass natural gas by 30 and 24 quadrillion units, respectively. Most likely, renewable energy will remain below 10 quadrilion units as before

# data[].attributes.body
1/ (the) percentage/proportion (of X): phần trăm ...

2/ Overview: nhìn vào xu hướng và độ lớn

3/ Động từ thể hiện chiếm tỷ trọng/phần trăm:

account for = take up = make up = constitute = consist of = comprise

4/ A similar/An opposite allocation (sự phân bổ) can be seen in the ...

5/ Multiplier word + "fold" words:

+) double, triple, quadruple, quintuple (có thể làm V hoặc Adj)

Ex: double (v) / a double increase (a)

+) twofold, threefold, fourfold, fivefold, sixfold (có thể làm Adj hoặc Adv)

Ex: a twofold increase (adj) / increase twofold (adv)

6/ Quy đổi phần trăm ra phân số:

Cách nói phân số trong Tiếng Anh:

Tử số dùng số đếm, mẫu số dùng số thứ tự

+) 1/2 và 1/4 là cố định

1/2: half

1/4: quarter

+) 100% chia 5:

20% = 1/5 = one-fifth

40% = 2/5 = two-fifths

60% = 3/5 = three-fifths

80% = 4/5 = four-fifths

+) 100% chia 4:

25% = 1/4 = one-quarter

75% = 3/4 = three-quarters

+) 100% chia 3:

33,3% = 1/3 = one-third

66,6% = 2/3 = two-thirds

7/ Cách viết Thân bài tương tự Line graph và Bar Chart, có thể chia theo năm (lưu ý thứ tự các đối tượng được so sánh ở 2 đoạn thân bài phải song song với nhau), có thể chia theo đối tượng (những đối tượng cùng tăng gộp vào 1 đoạn, đối tượng cùng giảm gộp vào 1 đoạn)

# data[].attributes.headline
The graphs below show the age of visitors from the UK to Spain in 1983 and 2003

# data[].attributes.subject
The graphs below show the age of visitors from the UK to Spain in 1983 and 2003

# data[].attributes.body
The pie chart shows information about the age of visitors from the Uk to Spain between 1983 and 2003

Overall, the majority of people visting the UK are aged 36-54 but this declines significantly after that

# data[].attributes.body
The pie chart illustrate the percentage of the age of visitors from the UK to Spain between 1983 and 2003

Overall it is clear that the amount ò the younger visitor(0-15,16-24), and older visitor(55+) increase significant from 1983 to 2003. In contrast, the amount ò middle ages(25-34,35-54) decline

# data[].attributes.body
The charts illustrate the proportion of the aged of visitors in two different countries in 1983 and 2003.

Overall, the aged group of visitors mostly falls into the aged group of about 35-54 years and the aged group of 55 years and above , while the aged group of 16-24 years uses very low sophistication

# data[].attributes.body
The graphs below show the age of visitors from the UK to Spain in 1983 and 2003.

It is clear that the proportion of older visitors rose substantially over the 20-year period, while younger age groups accounted for smaller shares in 2003. The most significant changes occurred in the 25–34 and 55+ age categories.

# data[].attributes.body
Introduction

The two pie charts compare the proportion of visitors from the UK to Spain in five different age groups in 1983 and 2003.

Overview

Overall, there was a noticeable shift towards older age groups in 2003 compared to 1983. While people aged 25–34 accounted for the largest share in 1983, the 55+ group became much more prominent by 2003. In contrast, the percentage of younger visitors dropped significantly.

# data[].attributes.body
The pie charts illustrate the ages of visitors from the UK to Spain in 1983 and 2003

Overall, it can be seen that the proportion of visitors from 25-54 years old declined. Despite of the decline, the 35-54 age group still was the largest in both charts.

# data[].attributes.body
The pie chart illustrate the percentage of visitors from the UK to Spain in 1983 and 2003.

Overall, it is clear that the proportion of the younger visitor (0-15; 16-24) and older visitors (55+) increase significant from 1983 to 2003. The amount of middle ages (25-34;35-54) decline

# data[].attributes.body
The table provides information about the underground railway systems in 6 cities.

It can be seen that London's underground railway system is the oldest while Los Angeles' is the newest and also the shortest of all six cities.

As can be seen from the table, London, Paris and Tokyo are the places with the highest indices.

London was built a long time ago, in 1863, and also has an impressive length of railway with 394 km, which is also the longest of all six cities.Tokyo has the most passengers using its underground railway system with 1927 million people while Paris is only 736 million less than Tokyo.

Of all the metro systems, Los Angeles had the latest, built in 2001.And the visitor numbers of Washington DC, Kyoto and Los Angeles were 144 million, 45 million and 50 million respectively.It can be seen that Kyoto is the city with the lowest number of underground railway users of all six cities with only 40 million people per year.

# data[].attributes.body
The provided table presents key information about the underground railway systems in six major cities: London, Paris, Tokyo, Washington D.C., Kyoto, and Los Angeles. The data includes the date each system opened, its total kilometres of route, and the number of passengers carried per year (in millions).

Overall, the table reveals a wide range in the age, size, and passenger volume of these underground railway systems. Older systems tend to be more extensive and serve a larger number of passengers, although there are exceptions.

London's underground railway, opened in 1863, is the oldest and most extensive with 394 kilometres of route, serving 775 million passengers annually. Paris, with its system established in 1900, has 199 kilometres of route and a significantly higher passenger volume of 1191 million. Tokyo, despite opening later in 1927 and having a shorter route of 155 kilometres, boasts the highest passenger numbers at 1927 million per year, indicating extremely high usage intensity.

In contrast, the more recently opened systems are generally smaller in scale. Washington D.C.'s system, opened in 1976, has 126 kilometres of route and 144 million passengers. Kyoto's railway, inaugurated in 1981, is considerably smaller with only 11 kilometres and 45 million passengers. Los Angeles has the newest system, opened in 2001, with 28 kilometres of route and 50 million passengers, making it the second smallest in terms of both length and passenger numbers.

# data[].attributes.body
The table provides information about the underground railway systems in six cities, including the year each system opened, the total length of the route, and the number of passengers served annually.

Overall, the oldest underground system is in London, while the most recent is in Los Angeles. Tokyo has the highest number of passengers per year, whereas Kyoto has both the shortest route and the lowest ridership.

London’s underground system, which began in 1863, is not only the oldest but also has the longest network, stretching 394 kilometres and having 775 million passengers annually. In contrast, Los Angeles, the most recently opened system (2001), has a significantly shorter route of 28 kilometres and only 50 million passengers per year.

Paris and Tokyo both have well-established systems, opened in 1900 and 1927 respectively. Despite having a shorter route than Paris, Tokyo serves the most passengers at 1927 million annually, making it the busiest among the six cities.

On the other hand, Washington DC and Kyoto have relatively newer and smaller networks. Washington DC’s system, which opened in 1976, has 126 km of track and has 144 million passengers per year. Kyoto, with only 11 km of route, has the lowest ridership at 45 million.

# data[].attributes.body
The charts show the age of Little Chalfont Library members, the types of items borrowed in 2016, and the total number of loans from 2007 to 2016.

# data[].attributes.body
The pie chart illustrates the age distribution of library members, the table shows the percentage of total loans by category, and the bar chart describe the total number of loans from 2007 to 2016.

# data[].attributes.body
Overall, most library members in 2016 were adults aged 18 to 64. Children’s and adult fiction were the most borrowed categories, while children’s DVDs were the least popular. In terms of total loans, the number generally increased over the ten-year period.

# data[].attributes.body
In 2016, the largest group of library members were adults aged 45–64, making up 35%, followed by those aged 25–44 at 25%. Teenagers (13–24) accounted for 20%, while children (under 13) made up 15%. The smallest group was seniors aged 65 and over, at just 5%.

Regarding borrowing categories, children’s fiction represented the highest proportion of loans at 33%, closely followed by adult fiction at 29%. Adult non-fiction made up 18%, while children’s DVDs and adult DVDs accounted for 10% and 8%, respectively, indicating lower interest in DVDs compared to books.

Between 2007 and 2011, the number of loans rose steadily from 47,000 to 58,000. After a slight dip to 52,000 in 2012, the figure increased again, peaking at 66,000 in 2016. Overall, the total number of loans grew by nearly 20,000 over the decade, showing a generally upward trend despite some minor fluctuations.

# data[].attributes.body
1/ Introduction:

phân chia theo độ tuổi: age distribution

distribute (v) --> distribution (n): sự phân bổ, phân chia

loan (n,v): cho vay, cho mượn; tiền cho vay; vật cho mượn

Suggested introduction:

The pie chart illustrates the age distribution of members in the Little Chalfont Library in 2016, while the table gives a breakdown of the total loans by category in the same year. At the same time, the bar chart gives information about the total number of loans over the period from 2007 to 2016.

2/ Overview: nhìn vào 3 hướng: xu hướng,

độ lớn, và sự chênh lệch.

Pie chart: đa số thành viên đi mượn sách là người lớn độ tuổi 18-64

Table: loại sách được mượn nhiều nhất/phổ biến nhất là children's and adults' fiction

Bar chart: nói chung là có xu hướng tăng từ 2007 tới 2016, mặc dù có nhiều sự biến động nhưng cuối cùng đã được phục hồi và tiếp tục tăng trưởng ở cuối giai đoạn.

Suggested overview:

Overall, it can be obviously seen that the majority of library members are adults varied from 18 to 64 years old. In terms of the total loans, children's and adult fiction are the book items having the highest borrowing rate. In addition, the total number of loans generally witness an upward trend throughout the period despite some fluctuations.

3/ Body:

Linking words used to lead in the description of a particular chart/graph: Looking at the ... in detail, In terms of,

Regarding/With regards to,...

phục hồi: recover, rebound

chiếm bao nhiêu phần trăm dùng các động từ: make up, take up, acount for, represent, contribute, comprise, constitute,...

chiếm phần trăm cao nhất: account for/make up/take up the largest percentage/proportion/portion/the majority; comprise/represent the largest segment; hold/account for the greatest/biggest/largest share

chiếm phần trăm nhỏ/nhỏ nhất: viết ngược lại, dùng các adj như lowest, smallest,...

Body 1: phân tích cái pie chart: age distribution of library members

Looking at the pie chart in more detail, the percentage of library members aged 16-64 made up the largest segment with over a half of the total age distribution (51%), while children merely accounted for 22%. Young adults between 13 and 17 and adults 65 and over contributed smaller proportions, at only 12% and 15% respectively.

Body 2: phân tích cái table: total loans by category

In terms of the total categories in 2006, children's and adults' fiction books recorded similar percentages, each accounting for 38%. The proportion of adult non-fiction books, on the other hand, followed closely by 13%. Other categories including children's DVDs, children's non-fiction and adult audio books were least borrowed items, which accounted for 1% to 2%.

Body 3: phân tích cái bar chart: total number of loans (2007-2016)

Regarding the total number of loans from 2007 to 2016, it started off at about 15,000 in 2007, followed by a significant increase to around 21,000 after a period of four years. Although there was a slight dip in 2013, the number of loans quickly recovered and rebounded towards the end of the period, at around 22,000 in 2016.

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The bar chart compares the percentage of adults attaining high school education in six different countries in 2010. Overall, Germany and the United States have the largest number of adults with college degrees for both age groups, while South Korea has the largest number of young adults with high school degrees. Details, In Germany and the United States, both age groups have very high rates of high school completion, around 85-90%. Germany shows little difference between the two groups, while the United States has a slightly higher rate among the younger group. Russia also has an increase from around 75% in the older group to 90% in the younger group. On the other hand, Korea, Brazil and China have lower rates or more pronounced differences. Korea has the largest difference, increasing from 60% in the elderly group and 90% in the young group. Brazil improved from 30% to 60%. China has the lowest rate, with less than 20% of the elderly and 30% of the young.

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The charts compare the in formation of age break down of library members, total loans by category and total number loans in litle Chalfont library from 2007 to 2016

Overall, the majority of book borrowers were adults aged 18-64, and the most frequently borrowed book types were children's and adult fiction. In addition, the total number of book borrowers increased significantly, although there was a slight fluctuation, but it recovered quickly.

Looking at the pie chart, we can see that the largest number of people who visited the library were adults (18-64) at 51%. Next were children with 22%. Finally, adults aged 65 and over and young adults (13-17) with percentages of 15% and 12% respectively.

In terms of book types lent out, children's and adult fiction books had the highest borrowing rate at 38%. Adult nonfiction followed with a borrowing rate of 13%. Other genres such as children's nonfiction, children's DVDs, young adult books, and adult audio books accounted for 6% or less.

From 2007 to 2016, total loans increased from 15,000 to 20,000 although there was a slight decline in 2013 but it has increased rapidly again.

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The process illustrates plastic bottle recycling process.

Overall, the process stepped 9 stage. Starting from collecting plastic bottles and ending with producing with products.

The first step in the cycle involves individuals disposing of plastic bottles into a collection bin (Stage 1). Subsequently, a recycling truck collects these bins (Stage 2) and transports the bottles to a recycling centre. Here, the bottles are sorted (Stage 3) to separate them from other waste. Following sorting, they are compressed into large blocks (Stage 4) for efficient handling.

These blocks are then crushed into smaller pieces (Stage 5), which are subsequently washed (Stage 6) to remove impurities. The cleaned plastic pieces are then processed to produce plastic pellets (Stage 7). Finally, these pellets are heated to form a molten raw material (Stage 8), which can then be used to create new products such as bottles, t-shirts, or shopping bags,…

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Diagram illustrating the plastic bottle recycling process. This process includes steps such as disposing of used plastic bottles and then producing new plastic products.

In general, the process consists of 9 steps, starting with the collection of plastic bottles in public trash cans and ending with the production of new plastic products.

This is also a circular process that helps transform plastic waste into reusable materials. First, people will throw used plastic bottles into recycling bins. Then these plastic bottles are collected and transported to the recycling center. There, the plastic bottles will be sorted and only suitable plastic bottles can be moved to the next step.

After sorting, the plastic bottles will be pressed into blocks for easier recycling. Next, these plastic blocks will be crushed into small pieces and then washed to remove dirt and impurities in the bottles. After that, these plastic pieces will be melted and made into plastic pellets. These plastic pellets are used as raw materials in products such as containers and other plastic items.

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Introduction

The diagram illustrates the step-by-step process of recycling plastic bottles. The process consists of nine distinct stages, from bottle disposal to the creation of new products.

Overview

It is clear that the process is a closed cycle, where used plastic bottles go through several physical and mechanical stages before being transformed into raw materials for producing new plastic goods.

Body Paragraph 1

Initially, people throw away plastic bottles into recycling bins. These bottles are then collected by garbage trucks and transported to a recycling facility. Once they arrive, the bottles are sorted manually to separate recyclable plastics from non-recyclable materials. After this, they are compressed into large blocks to prepare for further processing.

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The blocks are subsequently crushed into small pieces, which are then washed thoroughly. The clean plastic fragments are melted using heat and turned into plastic pellets. These pellets act as the raw materials used in manufacturing various new products such as clothing, containers, and other plastic items, completing the recycling process.

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The process of recycling used plastic bottles starts by collecting plastic waste that people have thrown in the trash. The garbage truck will come to collect and people will filter out the plastic bottles for recycling. After being filtered, these plastic bottles will be compressed into blocks. The blocks are then broken down into small pieces by a crushing machine, which are washed thoroughly.

In stage 6, the small clean produced are then poured into a machine where they are turned into pellets. It also heats the pellets, which creates raw material. Finally, the raw material is made into many different plastic products. After using, people will throw it away and the recycling will repeat itself.

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The map describe How plastic bottles are recycled

Recycling .  Step 1  thrown garbage in the right place

Neẽt the trash will be taken by Garbage trucks for recycling. Step3 , it will be classified different types of waste into recyclable and non-recyclable types. Stage 4 ,Compress plastic into blocks then crush them and filter them again and produce them into raw materials. Last but not least ,manufacture them into useful items

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The process of recycling plastic bottles starts when an individual places their rubbish in the recycling bin, then the transport to collecting waste. After, transported to the recycling centre. The plastic bottles sorted by hands. Then, compressed tightly into the block, the cutting machine is crushshing to debris and washing it.

After being washed, the plastic bottles producing into a machine that turn on to mill them. The pellet are heated to form material. The raw material can producing some products

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On the left side of the maps we can see the residential area which stayed in the same place in 2009, but near this place refurbished a lot such as a new reconstructed car park, offices, schools, multi-screen cinema and shopping centre which used to be Derelict warehouses, old town building, only one school, arts centre and residential area that located on the south-west of the river. At the end of the period was opened a modern university which was placed at the north of the school.

There was a large location where was a Woodland and lake in 2000, although the placement was reduced in size and the lake was replaced with a pond so that the majority of trees were chopped down after 9 years. A residential area had been demolished and an industrial complex become larger than it was at the beginning of the period.

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1/ Introduction:

The process illustrates/demonstrates/delineates ...

2/ Overview:

Nêu lên quy trình đó trải qua tất cả bao nhiêu giai đoạn, giai đầu và cuối là gì

Overall, there are ... key stages / the process involves/undergoes ... main stages ..., beginning/starting with ..., and ending/finishing with ...

3/ Body:

Chia các giai đoạn thành 2 phần để miêu tả

Các cấu trúc cần áp dụng:

Passive Voice

Rút gọn về participle phrase: before/after + V-ing, rút gọn 2 mệnh đề cùng chủ ngữ V-ing (chủ động), PP (bị động), having + PP (chủ động), having been + PP (bị động) (* having PP và having been PP nhấn mạnh vào thứ tự trước sau)

Ngôn ngữ chỉ thứ tự (Sequencing words):

First(ly) - Then - Next - After that - ... - Final(ly); After/Before; following/Followed by; Once; Subsequent/Subsequently; In the first stage/next stage/At the final stage,...; The first/next/last step is ...; The process continues with ...

Expressing purpose:

to/in order to/so as to + V; to/for + V-ing/N-phrase; so that/in order that + clause

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In 2000, the area was characterized by a mix of residential zones, an Arts Centre, and a school in the west. Towards the north, there were derelict warehouses and an Old Town. A large woodland area with a lake dominated the central-east, connected to a river flowing southwards. An industrial complex was located to the south-east of the river, with another residential area further south.

By 2009, substantial changes had occurred. The derelict warehouses were replaced by a car park and offices, while the Old Town made way for a university . The lake in the woodland shrunk considerably, becoming a pond. The Arts Centre was gone, and new facilities emerged, including a multi- screen cinema and a shopping centre, replacing some residential areas. The industrial complex remained, but the southern residential area expanded slightly. Overall, the area transformed from a more traditional and industrial landscape into a more modern, commercial, and educational hub.

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study at university offers many benefits, including increased career opportunities, higher earnings, developing soft skills, expanding your network, and improving your professional knowledge.

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Another benefit of university education is the potential for higher income and better career growth. University graduates typically earn more than those without a degree, as they are equipped with specialized knowledge and qualifications. A degree also opens the door to more stable and respected job positions. In addition to academic knowledge, students develop essential soft skills such as communication, teamwork, and time management through group projects and presentations. These skills are extremely valuable not only in the workplace but also in everyday situations. Moreover, university life helps students become more independent and confident in facing future challenges. Therefore, pursuing higher education brings both professional success and personal growth.

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Pursuing university education brings several important benefits. Firstly, it helps students gain deep knowledge and specialized skills, which increases their chances of finding a good job. Employers often prefer candidates with university degrees because they are seen as more responsible and better prepared. Secondly, people with higher education usually have better promotion opportunities and earn higher salaries. In addition, university life helps students develop soft skills such as communication, teamwork, and problem-solving, which are useful in both work and daily life. Finally, university is also a time for students to grow personally, make new friends, and explore their interests. For all these reasons, university education is a valuable step for future success.

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study at university can offers many benefits firstly,you can improving your professional knowledge for example , you can apply for the job you love, have many offers higher salary and work more effectively, increase competitiveness at work and open up many career development opportunities. Next, you can develop soft skills for instance Improve you can learning efficiency, develop hard skills and better adapt to the working environment , self-development and increase competitiveness in the labor market .in short, college education is quite necessary for us

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Pursuing a university education offers a multitude of benefits that significantly enhance one's life and career. Firstly, it often leads to greater promotion prospects within a company, as graduates typically possess the advanced skills and knowledge required for leadership roles and career progression. Secondly, higher education is directly linked to a higher salary over a lifetime, providing greater financial stability and improved living standards. Moreover, while it might seem counterintuitive, university life can also cultivate skills and habits that ultimately lead to more time for personal hobbies later on. This is because a good education often results in more efficient work practices and potentially less demanding work hours in higher-paying professions, allowing individuals the luxury of pursuing their passions outside of work. In essence, a university degree is an investment that yields substantial returns in terms of career advancement, financial well-being, and personal fulfillment.