# data[].attributes.body
Huyen Anh

The bar chart illustrates the percentage of people from five different age groups who attended three types of music events in Australia in 2006.

Overall, popular music enjoyed the greatest level of interest among the younger age groups, while the opposite trend could be seen among older people. Meanwhile, classical music remained relatively unpopular regardless of age, whereas opera attracted its largest audience from the 35–44 age cohort.

In terms of popular music, it attracted the highest attendance rates among the younger age groups. The 15-24 age group recorded the highest figure, at 38%. The percentages for those aged 25-34 and 35-44 were also relatively high, standing at 27% and 33%, respectively. In contrast, attendance for popular music was considerably lower among the older age groups, with 13% of people aged 45-54 attending this type of event, while the figure for those aged 55 and over was only 5%.

# data[].attributes.body
The bar chart presents information about the proportions of people from five different age categories who attended three kinds of musical events in Australia in 2006.

Overall, popular music was generally more appealing to younger people, whereas its attendance rate was lower declined considerably among the older age groups. In contrast, classical music had the lowest attendance figures across most age categories while Opera was particularly popular among people aged 35–44.

# data[].attributes.body
The given bar chart illustrates attendance of people across three different types of music events among five age groups in Australia in 2006.

Overall, it is clear that  popular music was the highest in most age groups, while opera was the most popular type among people aged 55 and over. By contrast, the figures for classical music were relatively low across the age groups.

Looking at popular music, it accounted for the highest attendance rates among the younger ages. The 15-24 age group showed/ displayed the greatest interest, with 38% of attendees. This figures for the 35-44 and 25-34 age groups were relatively high, standing at 33% and 27% respectively. By contrast, the percentages of attendees for this music were smaller in the older categories, recording 13% for people in the middle-aged group and merely 5% for the elderly.

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The given bar chart illustrates the proportion of individuals in the 15-24 age group attending 3 different types of music in Australia in the year 2006.

Overall, it is evident that popular music was by far the most popular among younger demographics while its attendance rate was significantly lower among older age groups. Additionally, whereas classical music registered the lowest figures across all age brackets while opera music was the most preferred among middle -aged people.

Looking specifically at popular music, it accounted for highest percentage.The 15-24 age group showed the greatest interest in it, with 38% of attendees while relatively high figures were also recorded among the 35-44 and 25-34 age groups, at 33% and 27%, respectively.In stark contrast, the proportion of attendees for this genre were substantially smaller in the older categories, accounting for 13% for individuals in the 45-54 age group cohort and only 6% for those aged 55 and over.

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the given bar chart depicts the proportion of individuals enrolled in three different types of music events including classical, opera and popular during the period in 2006

in general, it is evident that, the popular music was the most favorable playlist in the minors age, while its significantly decrease in the elderly group. besides, classical music was popular with the middle aged group. in addition, opera music is the unpopular in most of the aged group in the chart.

looking at the popular music rates, the percentage of taking part in this kind of music in the aged group 15-24 experienced a highest figure around 38%, while the 35-44 and 25-34 groups witnessed a lower point about 33%, 27% in turn. in terms of attending in popular music events in the 45-54 and 55 to over groups showed a lowest figure, approximately 13% and 5% respectively.

# data[].attributes.body
the bar chart illustrates the percentages of people in five different age groups who attended three types of music events in Australia in 2006

Overall, popular music attracted the highest proportion of younger people, while classical music was the least popular across most age groups. Opera, by contrast, was particularly popular among people aged 35-44.

# data[].attributes.body
The bar chart illustrates the percentages of people in five different age groups who attended three types of music events, namely classical, opera and popular music, in Australia in 2006.

Overall, popular music was the most popular choice among younger people, particularly those aged 15–24, whereas its attendance rate declined considerably with age. By contrast, opera was most popular among people aged 35–44 and 45–54. Attendance at classical music events remained relatively stable across all age brackets.

Among the youngest group, aged 15–24, popular music had by far the highest attendance rate, at 38%, compared with only 13% for opera and 11% for classical music. A similar pattern can be seen among those aged 25–34, although the figures were lower, with 27% attending popular music events, followed by opera at 14% and classical music at just 8%. For the 35–44 age group, popular music remained the most popular type, accounting for 33%, while opera reached its highest figure of 25%. Classical music stood at 11%.

# data[].attributes.body
The provided bar chart compares the percentage of attendance across three kinds of music events among five age brackets in Australia in the year 2006.

Overall, it is evident that popular music was the most favored event among the younger cohorts while its attendance rate was lower in the older age groups. Additionally, classical music registered the lowest figures across all age groups, except for those aged 55 and over, whereas opera attracted the highest attendance for the elderly and the second-highest percentage for younger people.

# data[].attributes.body
The provided bar chart illustrates the percentage of participation of five age groups in three types of music events in Australia in the year 2006.

Overall, it is readily apparent that popular music was the most favoured type among the younger age groups while classical music recorded the lowest attendance figures. Notably, opera was the most preferred type of music by people in the 35-44 age bracket.

Looking specifically at popular music, it recorded the highest attendance figures, with 38%. Individuals in the 15-24 age cohort demonstrated the highest attendance rate, standing at 38%. The figures for the 35-44 and 25-34 age groups were also relatively high, accounting for 33% and 27%, respectively. By contrast, the number of people aged 55 and over had the smallest attendance with just a mere 5%. There was little difference between the aged 45-54 group and the oldest group, with the former representing 13%, compared with just 5% for the latter.

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The given bar chart illustrates the music event attendance rates across various age brackets in Australia in the year 2006, categorized by three different music genres.

Overall, it is evident that popular music was clearly the most favored genre among younger audiences, whereas its figures dropped significantly in older demographics. In addition, classical music consistently recorded the lowest participation rates across almost all age cohorts, while opera attendance peaked among middle-aged listeners.

Regarding popular music, this genre registered the highest attendence among the yougest age group, with 38% of those aged 15-24 taking part. The figures for the 35-44 and 25-34 age brackets followed closely, standing at 33% and 27%, respectively. Conversly, participation rates for popular music were substantially smaller in older categories, recording 3% for people in the 45-54 age cohort and a mere 5% for those aged 55 and over.

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The bar chart illustrates the age demographic of event attendees of three distinct music genres in Australia in 2006.

Overall, it is evident that the younger age group preferred popular music the most, while the older demographics favoured opera. Additionally, the figures for classical music are notably the lowest across all age groups.

In terms of popular music, this genre primarily attracts younger attendees. The attendance proportion in the 15-24 age group was the highest, accounting for 38%. The figures for individuals aged 35-44 and 25-44 followed closely, at 33% and 27%, respectively. In stark contrast, the percentage of people aged 45 and over who enjoyed popular music was relatively low. 13% of middle-aged people participated in popular music events, and for the elderly, the figure was only 5%.

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The given bar chart illustrates the proportion of attendance across types of music, including classical, opera, popular among 5 age cohorts in Australia during the year 2006.

Overall, it is readily apparent that popular music was the most favoured among younger demographics while its accounted for a lower percentage among older age groups. Furthermore, whereas classical music consistently registered the lowest figures across all ages, Opera was attractive to people aged 35-44.

Looking specifically at popular music, it accounted for a significantly higher proportion among the younger brackets. The 15-24 age group was the leading group of attendees, standing at 38% people. The figures for 35-44 and 25-34 age groups represented substantial proportions, stood at 33% and 27%, correspondingly. By contrast, the percentage of attendees for this genre relatively small among older age groups, making up 13% for people in the 45-54 cohorts and only 5% for those aged 55 and over.

# data[].attributes.body
The bar chart illustrates the proportion of people in different age cohorts participating in music events, categorized into three genres: classical music, opera, and popular music in Australia in 2006.

Overall, it is clear that popular music was the most prevalent among younger age groups while its attendance rate was significantly lower among older age brackets. In addition, classical music recorded the lowest figures across all groups, while opera was the most favored by people aged 35-44.

Looking specifically at popular music, it represented highest attendance percentages among the younger groups. The 15-24 age group showed the greatest interest, with 38% of participants. This figures for the 35-44 and 25-34 age cohorts were also considerably high, recording 33% and 27% respectively. In contrast, the rate of concert-goers for this genre were substantially smaller in the older categorises, accounting for 13% for people aged 45-54 and a mere 5% for the elderly.

# data[].attributes.body
The bar chart illustrates the percentage of attendance across three different of music events among five age groups in Australia in the year 2006.

Overall, it is clear that popular music was the most preferred among younger age groups while its attendance rates was significantly lower among elder age bracket. Additionally, whereas classical music was recorded the lowest figures across all ages, opera was the most favoured by middle-aged attendees.

In terms of popular music, it accounted for highest attendance rates among the younger cohorts. The 15-24 age group showed the greatest interest, with 38% attendance. This numbers for the 35-44 and 25-34 age brackets were also high, acounting for 33% and 27%. In contrast, the proportions of participants for this music was smaller in the older groups, standing at 13% for individuals in the 45-54 age cohort and 5 % for people aged 55 and over.

# data[].attributes.body
The given bar chart compares the proportion of attendance across three specific music genres among people of various age brackets in Australia in the year 2006.

Overall, it is evident that popular music was the most popular among younger demographics, while its attendance rate was significantly lower among older age groups. Additionally, whereas classical music consistently registered lower figures, opera attracted more people than classical across almost all ages.

Looking specifically at popular music, it accounted for highest attendance rates among the youngest brackets. The 15-24 age group demonstrated the highest preference, with 38% attendance. This figures for the 35-44 and 25-34 age groups were also relatively high, accounting for 33% and 27%, respectively. By contrast, the percentages of attendees for this genre were smaller in the older categories, representing 13% for people in the 45-54 age brackets and a mere 5% for those aged 55 and over.

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The provided bar graph delineates the percentages of attendance across three types of music events among five age groups in Australia in 2006.

Overall, Popular music events were the most popular across younger demographics while its attendance rate was lower in older age brackets. Additionally, whereas Classical constantly had the lowest attendance figures among all groups, Opera was the most preferred by people in the 35-44 age group.

Looking first at popular music, it accounted for highest attendance rates among the younger cohorts. The 15-24 age group registered the peak attendance with 38%. This figures for the 35-44 and 25-34 age groups were also relatively high with 27% of the former, and 33% of the latter attending such events. For older groups, the participation rate was smaller than younger, recording 13% and 5% for the 45-54 and 55+ age brackets, respectively.

# data[].attributes.body
Uvy

The provided bar chart illustrates the percentages of people in five different age groups who attended three types of music events in Australia in 2006.

Overall, it is evident that popular music was the most popular among younger age groups, while its attendance rate was significantly lower among older age groups. Additionally, classical music consistently recorded the lowest attendance across most age groups, while opera attracted its highest proportion of attendees among those aged 35–44.

Looking specifically at popular music, it had the highest attendance among the younger age groups. The 15–24 age group showed the most interest, with 38% of people attending. This figure was also quite high for the 35–44 and 25–34 age groups, at 33% and 27%, respectively. In contrast, the figures were much lower among older people, at 13% for those aged 45–54 and just 5% for those aged 55 and over.

# data[].attributes.body
The given bar chart illustrates the attendance rates across three distinct types of music events among five age brackets in Australia in the year 2006.

Overall, it is evident that the most prevailing genre was popular music across the younger groups, whereas opera music was popular among the elderly. However, classical music witnessed the lowest rate across all age categories.

Looking specifically at popular music, it represented the highest engagement rates among the younger cohorts. Individuals aged 15-24 accounted for the greatest interesr, at 38% attendance. Moreover, both the proportion of 35-44 and 25-34 age brackets accounted for comparative high, standing at 33% and 27% respectively. Conversely, the older categories recorded a relative low figure, with 13% of individuals in the 45-54 age group and a modest figure of 5% for the elderly.

# data[].attributes.body
The given bar chart illustrates the percentage of attendance across three different types of music events among five categories in Australia during the year 2006.

Overall, it is evident that popular music was the most favoured among younger age groups while its attendance rate was significantly lower among older age groups. Additionally, whereas classical music constantly recorded the lowest figures across all ages, opera was the most preferred by people in the 35-44 age bracket.

Looking specifically at popular music, it accounted for highest attendance rates among the younger brackets. People aged 15–24 showed the greatest interest, accounting for 38% of attendees. The figures for the 34-44 and 25-34 age groups were also relatively high, representing at 33% and 27%, respectively. In contrast, the rate of attendees for this genre were remarkably smaller in the older categories, recording 13% for people aged 45-54 and a mere 5% for those aged 55 and over.

# data[].attributes.body
The provided bar chart compares the percentage of attendance across three different types of music events among five age brackets in Australia during the year 2006.

In general, it is evident that popular music was the most preferred among the younger demographics while its attendance rate was significantly lower among older age groups. In addition, while classical music constantly recorded the lowest figures across all age groups, opera music was the most favoured by the middle-aged attendees.

In terms of popular music, it made up highest attendance rates among the younger categories. The 15-24 age group demonstrated the greatest interest, with 38% of attendees. This figures for the 35-44 and 25-34 age brackets were also relatively high, standing at 33% and 27%, respectively. In contrast, the percentages of participants for this genre was substantially smaller among older age cohorts, accounting for 13% for individuals in the 45-54 age bracket and a mere 5% for those in 55+ age group.

# data[].attributes.body
The provided bar chart compares attendance rates for three distinct music genres across five different age brackets in Australia during the year 2006.

Overall, popular music was the most preferred choice among younger age groups, whereas it attracted the lowest level of interest from older people. Additionally, classical music generally maintained low attendance rates across most age groups, whereas opera attracted its largest audience in the 35–44 category

Looking specifically at popular music, it accounted for the highest attendance rates among the younger age brackets. The 15–24 age group demonstrated the highest preference, with 38% attendance. The figures for those aged 35–44 and 25–34 were also relatively high, standing at 33% and 27%, respectively. In stark contrast, the proportions of attendees for this genre were substantially smaller in the older categories, recording 13% for people in the 45–54 age bracket and a mere 5% for those aged 55 and over.

# data[].attributes.body
The bar chart illustrates the percentage of people in different age groups who attended three types of music events in Australia in 2006.

Overall, popular music was most popular with the youngest age group, while the figure was lowest among the elderly. Classical music had the lowest attendance rates across all age groups. Opera attendance was relatively low and stable, although it was higher in the middle-aged groups

the percentage of engagement in opera music genre was ....

Regarding popular music, the 15–24 age group showed the highest percentage of attendance, at 38%. This indicates that this type of music was particularly popular with younger people. The figures for those aged 35–44 and 25–34 were also quite high, at 33% and 27% respectively. However, popular music was much less popular with older people. The percentage for people aged 45–54 was only 13%, while the elderly had the lowest figure, at just 5%.

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The provided bar chart illustrates the percentage of people across five different age groups who attended three types of music events—Classical, Opera, and Popular—in Australia in 2006.

Overall, it is clear that popular music was the most preferred choice for younger demographics, but its popularity declined significantly among older age groups. Meanwhile, attendance for classical music remained relatively low and stable across all ages, and opera saw its highest attendance among middle-aged people.

Looking specifically at popular music, it recorded the highest attendance rate overall, with 38% of those aged 15-24 attending such events. Although there was a dip to 27% for the 25-34 age group, the figure rose again to 33% for people aged 35-44. However, after the age of 45, attendance for this genre plummeted, dropping to 13% for the 45-54 bracket and hitting a low of just 5% for those aged 55 and over.

# data[].attributes.body
The bar chart illustrates the proportion of attendance across three different types of music events among five age categories in Australia in the year 2006.

Overall, it is evident that popular music was the most favoured among younger age groups while its attendance percentage was noticeably lower among the elderly. In addition, whereas classical music recorded the lowest figures across all age brackets, opera was most preferred by middle-aged attendees.

Regarding the popular music, it accounted for the highest rates among the younger categories. The 15-24 showed the greatest interest, with 38% of audiences. This figures for the 35-44 and 25-35 age groups were also relatively high, standing at 33% and 27%, respectively. By contrast, the percentage of engagements for this genre was smaller in the older cohorts, representing 13% of people aged 45-54 and 5% for the 55+ age bracket.

# data[].attributes.body
The bar chart compares the percentages of people in five different age groups who took part in three types of music events in Australia during the year 2006.

Overall, it is evident that popular music was more popular among younger people, with attendance generally lower among older age groups. Additionally, classical music consistently recorded relatively low attendance across all five age groups, while opera recorded its highest attendance among those aged 35–44.

Looking specifically at popular music, the most noticeable feature was the high attendence among younger people. Those aged 15–24 recorded the highest attendance rate, at 38%. This was followed by the 35–44 and 25–34 age groups, at 33% and 27%, respectively. The proportion of attendees then dropped considerably to 13% for people in the 45–54 age group. by contrast, it reached its lowest point of a mere 5% among those aged 55 and over.

# data[].attributes.body
The given bar chart illustrates the percentage of engagement for three specific music genres among five age cohorts in Australia during the year 2006.

In general, it is clear that popular music was the most favoured among younger demographics; however, its attendance percentage was unpopular among older generations. Additionally, whereas classical genres constantly recorded the low figures across all ages, opera was most preferred by middle-aged participants.

In terms of popular music genres, it accounted for significant attendance rates among the younger cohorts. The 15-24 age group registered the peak attendance, with 38% participants. These figures for the 35-44 and 25-34 age groups were also relatively high, accounting for 33% and 27%, respectively. In contrast, the percentages of attendees for this type of music were modest in the older groups, showing 13% for the individuals in the 45-54 age bracket and only 5% for those aged 55 and over.

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The bar chart illustrates the percentage of Australians across five distinct age groups who attended Classical, Opera and Popular music events in the year 2006.

Overall, popular music was the most favoured genre among younger demographics, whereas older age groups strongly preferred opera. In contrast, classical music consistently recorded the lowest participation rates across all ages.

Looking specifically at popular music, it registered the highest turnout figures among the younger audiences. Participation reached its peak in the 15-24 category at 38%, with the 25-34 and 35-44 brackets accounting for substantial shares of 27% and 33%, respectively. By contrast, the proportion of attendees was far smaller among older citizens, standing at 13% for individuals aged 45–54 and a mere 5% for those aged 55 and over.

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The given bar chart compares attendance rates for three specific music genres among different age groups in Australia in 2006.

Overall, it is clear that popular music was the most popular among younger age groups while its attendance rate was significantly lower among older age groups. Additionally, whereas classical music constantly recorded the lowest figures across all ages, opera was the most favored by people in the 35-44 age group.

Regarding popular music, this genre attracts the highest audience share among younger age groups. People in the 15–24 age group showed the greatest interest, with an attendance rate of 38%. The figures for those aged 25-34 and 34-44 are also relatively high, at 33% and 27%, respectively. By contrast, participation was significantly smaller among older age groups, recording 13% among 45–54-year-olds and just 5% among those aged 55 and over

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The diagrams illustrate the layout of the college café before its renovation and its current arrangement

Overall, the café has been significantly upgraded to improve both its functionality. Although the kitchen and toilets have stayed in the same locations, several new food service facilities have been introduced, the staff dining rooms have been removed, and an outdoor dining area has been added to accommodate more customers.

In the original layout, the northern section of the café consisted of the kitchen together with one serving area for food and beverages. Beside these facilities were two staff dining rooms in the centre-north of the building. the majority space of the café was taken up by a large indoor seating area furnished with tables and chairs. The restroom was positioned in the southern corner, close to the entrance, and a single waste bin was located against the wall.

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The diagrams illustrate the arrangement of a college café prior to its reconstruction and its current design.

Overall, the café has undergone/ experienced a significant modernization and extension. The most notable alterations include the demolition of staff dining rooms, the specialization of food counters and the introduction of an entirely new outdoor dining area.

The initial layout, the northern section of the café contained the kitchen and the solitary serving area that supplied food and drink service. Adjacent to this were two distinct staff dining rooms in the center-north. The central part of the café was taken up by a large indoor seating area with tables and chairs. Next to the entrance, a single waste bin was situated along the wall which was in close proximity to toilets

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The maps compare the layout of a college cafe before its redevelopment and its current physical arrangement.

Overall, although the basic structure of the cafe remained largely the same, the layout has undergone a considerable renovation and expansion. The most notable changes consist of the specialization of serving facilities, the elimination of staff dining zones, and the construction of an outdoor sitting area.

In terms of the original layout, there was a kitchen in the northern section of the cafe, including a food counter which served all food and drink orders. Adjacent to this were two separate staff-only dining rooms in the centre north. The main body of the cafe was occupied by an indoor seating area with tables and chairs. In the southeastern corner, a toilets was positioned next to the entrance, alongside a single bin being located against the wall.

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The diagrams illustrate the layout of a college café prior to its renovation and its current arrangement.

Overall, the café has undergone a significant modernization and expansion. The most noticeable changes include the addition of a new outdoor dining area as well as the demolition of the staff dining rooms.

In the original layout, the northwestern section of the cafe featured the kitchen and the serving area that handled all food and drinks. Next to this were two separate staff dining rooms in the central north. The main body/ majority space of the cafe was occupied by indoor seating areas with tables and chairs. In the southern area, a restroom was next to the entrance, with a waste bin being located along the wall.

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The diagrams demonstrate the structural design of a college café before its redevelopment and ít current layout.

Overall, the café has undergone a significant modernization and expansion. The most significant changes include the demolition of an outdoor dining area as well as the erection of a staff eating area and a salad bar has been removed.

In the initial layout, the northern section of the café contained the kitchen alongside a single service counter that handled food orders and drinks. Adjacent to this were two separate staff dining rooms  in the north-central area. The middle section of the café was occupied by an expansive seating area containing tables and chairs. Moreover, a restroom was positioned next to the entrance in the southern corner while a single waste being located along the wall.

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The diagrams illustrate the floor plan of a college café prior to its renovation/ ... and its current apprearance.

Overall, the café has undergone a significant modernization and expansion. The most notable changes include the specialzation of a rubbish bin, the addition of a salad bar, and the introduction of a new outdoor serving area.

In the original layout, the center area of the café housed the serving zone with tables and chairs. In the southeastern corner, a restroom was located near the entrance, with a waste bin being situated along the wall. in the southwestern corner, there was a kitchen combined with a serving counter for all food and drink orders. Next to this were two separate rooms for staff dining.

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The pictures depict the layout of a college cafe prior to its redevelopment and its current arrangement

Overall, the café has undergone a significant transformation and expansion. The most notable modifications include the specialization of indoor service areas, the introduction of a brand-new outdoor dining section, and a replacement in staff spaces.

In the original layout, the northern area of the cafe accommodated the kitchen and a single serving section that serves all food and drink orders. Adjacent to this were two separate staff dining rooms in the center-north. The main body of the cafe was occupied by a large indoor seating area with tables and chairs for customers . In the southern corner, toilets were near the entrance, with a single bin being situated along the wall.

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The diagrams give information about the layout of a college cafe after it was renovated and its appearance.

Overall, the café has become more modern and customer-oriented. The renovation involved removing the staff dining rooms, introducing new service areas, and adding both indoor and outdoor facilities while keeping the kitchen, toilets, and the main seating area.

After the renovation, several significant changes were made. The serving area was replaced by a hot meals section connected to the kitchen. In the centre of the café, the former staff dining rooms were converted into a take-away food counter and a coffee bar. A new salad bar was added along the western wall, whereas a cold drinks station was installed on the eastern side near the entrance.

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The provided diagrams vividly illustrate the design of a college cafe prior to its redevelopment and its current arrangement.

Overall, the cafe has undergone a significant modernization and expansion. The most noticable changes include the demolition of staff dining rooms, the addition of a new salad bar, and the specialization of a serving area.

Prior to the renovation, the north-west corner accommodated a kitchen connected to a serving counter where both food and drink orders were handled. The remainder of the building was an indoor dining area furnished with a lot of tables and chairs. Along the northern side of this space were staff dining rooms, while the entrance was in the north-east corner. The eastern wall housed a small waste bin adjacent to the toilet.

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The diagrams provide the layout of a college cafe prior to its modifications and its current map.

In general, the cafe has undergone a significant renovation and expansion. The most notable changes include the specialization of food counters, the elimination of staff-only spaces, and the establishment of an entirely new open-air dining room.

In the original layout, the northern zone of the cafe contained the kitchen and a single serving area that served food and beverage orders. Next to this were two separate staff dining rooms in the center-north. The main body of the coffee shop was occupied by a large indoor seating area with tables and chairs. In the southeastern corner, a restroom was positioned near/ in close proximity to the entrance ,with a single bin being located along the wall.

# data[].attributes.body
The diagrams illustrate the structural design of a college cafe prior to its modifications and its current arrangement.

Overall, the cafe has undergone significant renovation and expansion. The most notable changes include the specialization of food counters, the demolition of staff-only space and the introduction of a new outdoor dining area

In the previous layout, the cafe housed the kitchen and a single serving area that served all food and drink orders in the northern section. Adjacent to this were two separate staff dining rooms in the center-north. The main body of the cafe was taken up by a large indoor seating space with tables and chairs. In the southern corner, a toilets was located near the entrance, with a waste bin being positioned along the wall.

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The map depicts how the layout of a college café has been redeveloped and its current arrangement.

Overall, the café has witnessed a notable transformation and expansion. The most remarkable changes include the demolition of staff dining rooms, the construction of new outdoor seating areas and the specialization of food counters.

in the original layout, the northern part of the café consisted of a kitchen and a serving area that handled all food and beverage orders. Next to this area were two separate staff dining rooms in the north-central section. The central part of the café was occupied by a large indoor seating area with tables and chairs. In the south corner, toilets was situated near the entrance while a single waste bin was placed along the wall.

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The diagrams illustrate how a college cafe has changed following a redesign, comparing its original layout with its current one.

Overall, the cafe has undergone a significant modernization and expansion, with several new food service facilities and outdoor seating added, whereas the kitchen, toilets and the main indoor seating area have remained largely unchanged.

In the original layout, the cafe consisted of a kitchen in the northern area, with a serving area providing food and drinks directly below it. Adjacent to this were two staff dining rooms in the center-north. The majority of the floor space was occupied by tables and chairs for customers. On the opposite side, the toilets were located in the southeastern corner, while a bin was placed close to the entrance.

Regarding the current layout, while the kitchen and the toilets remain in the same location, the former serving area has been converted into a hot meals section. The two staff dining rooms have been replaced by a take-away food counter and a coffee bar, while a new salad bar has been added along the western wall. Moreover, the original bin has been replaced with recycling bins. Most noticeably, outside the cafe, a barbecue area and several outdoor seating tables have also been introduced, whereas the entrance and the main indoor seating area have remained largely unchanged.

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The diagrams illustrate a comparison of a college café's layout before and after structural renovation.

Overall, the café has undergone a significant modernization and expansion in order to optimize space diversity. The most striking changes are the specialization of service counters and the addition of an outdoor dining area, alongside the removal of staff-only dining spaces.

In the original layout, the entrance was located on the eastern side, adjacent to a single bin, with the toilets situated in the southeastern corner. The center of the café housed customer tables and chairs. To the north, a general serving counter was positioned directly in front of the kitchen, catering to all food and drink orders. Furthermore, two staff dining rooms were situated in the center-north area.

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The two maps provide information about how a college cafe changed between its initial layout and its look after being redesigned.

Overall, it is evident that the cafe has experienced a significant modernization and expansion. There were several new areas, while some positions still remained unchanged. In contrast, many facilities such as the staff dining rooms have been removed.

Looking in more detail, before the redesign, the college cafe had a relatively simple layout. It can be seen that the kitchen was located in the top left corner, with a serving area providing all foods and drinks directly below it. It is evident that most of the space was occupied by tables and chairs for customers. In the center of the cafe, there were two staff dining rooms. On the right-hand side, a bin was placed near the entrance, while the toilets were situated in the bottom right corner.

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The diagrams illustrate the layout of a college cafe before its improvement and its current arrangement.

Overall, the cafe has undergone a significant modernization and expansion. The most notable changes include the specialization of food counters, the demolition of staff-only spaces, and the addition of an outdoor seating area, making the cafe more functinonal and spacious.

In the original layout, the northern section of the cafe housed the kitchen and a single serving area. Adjacent to this were two separate staff dining rooms in the center-north while most of the indoor space was occupied by tables and chairs. In the southern corner, toilets were positioned near the entrance, with a single waste bin against the wall

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The bar charts illustrate the proportion of income spent on food and other products by citizens in three distinct European countries between 1998 and 2008.

Overall, it is readily apparent that the percentages of both goods and food purchased in the supermarkets demonstrated upward trends in all three countries over the decade. Notably, country 1 witnessed the most profound increase, eventually taking the lead in both categories.

Regarding the food category, Country 2 initially led the chart with approximately 22%, whereas the percentage of expenditure on food in country 1 and country 3/ the figures for .... was considerably lower at exactly 10% and 6%, respectively. However, in 2008, the proportion in country 1 surged to 35%, taking the dominant position. Meanwhile, country 2 and country 3 witnessed a slight increase to around 27% and 8%, respectively.

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The bar charts compare the proportion of income allocated to food and other products in three different European countries over the period of ten years, starting from 1998.

Overall, it is noticeable that the figures for both food and consumer goods bought at supermarkets grew steadily across all three countries over the ten-year span. Additionally, country 1 recorded the most profound development, ultimately overtaking country 2 to become the highest consumer in both sectors. (good)

Regarding the goods category, in 1998, country 2 coutinued to lead at around 24%, whereas the figures for country 1 and country 3 were significantly lower at approximately 4% and 1% respectively. However, by 2008, country 1 experienced an growth, with its percentage soaring to nearly 40%. Similarly, country 3 witnessed an upward trend to reach 14%, while country 2 showed an increase, ending the period at about 26%.

In terms of food, in 1998, country 2 was the leading spender with approximately 22%, followed by country 1 at 10%, while country 3 accounted for the lowest figure at around 6%. By 2008, there was a dramatic increase in country 1's food consumption, which skyrocketed to 35% and became the highest figure among the three nations. Meanwhile, the figure for country 2 experienced a moderate rise to about 27%, and country 3 saw a slight increase to 8%.

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The bar charts compare the proportion of income spent on food and other products by citizens in three different European countries between 1998 and 2008.

Overall, it is clear that both food and other goods recorded an upward trend/ there was an upward trend in the percentage of both food and other goods purchased in supermarkets across all three nations over the period. Country 1 experienced the highest growth, surpassing Country 2 in both categories.

Regarding the percentage of purchased food, in 1998, Country 2 was the leading country, with 22%, followed by Country 1 with 10% and Country 3 with 6%. A decade later, Country 1 experienced a dramatic escalation to 35%, taking the lead over the three countries. A slight increase could be witnessed in the figures of => the figures for both Country 2 and Country 3, at 27% and 7%, respectively.

In the goods categories, Country 2 was also the leader in 1998, with a percentage of approximately 25% of income spent, while Country 1's and Country 3's proportions were evidently smaller, respectively at merely 3% and 1%. However, in 2008, Country 1 experienced a sharp increase that helped the country take the lead at almost 40%. Meanwhile, Country 2's percentage only marginally increased to about 26%, putting it in second place. In third place, while also went through significant growth, Country 3's figure stopped at approximately 15%.

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The bar charts compare three different European countries in terms of the citizens' expenditure on food and other commodities between 1998 and 2008.

Overall, it is clear that the percentages of budget allocated to food and goods experienced an upward trend across the three countries over the period. Additionally, country 1 witnessed the most notable growth, making it outstrip country 2 to become the largest nation/ the highest spender the leading country in both categories.

Regarding the proportions of income spent on food, country 2 led the chart in 1998, accounting for 22%, while the figures for country 1 and country 3 stood at much lower levels, at 10% and 6% respectively. Over the following decade, there was a dramatic shift that Country 1 surged to 35%, taking the dominant position. Meanwhile, country 2 experienced an increase to around 27%, and country 3 saw a marginal rise to 8%.

# data[].attributes.body
The bar charts represent the proportion of income spent on food and consumer goods in three distinct European countries over a ten-year period, starting from 1998.

Overall, over a decade, all the nations witnessed an upward trend in the proportion of budget allocated to both categories. Notably, country 1 experienced the most profound growth, eventually overtaking the others to become the largest spender.

Regarding the food category, in 1998, Country 2 initially led the chart, with approximately 22%, while the two others => while the figures for the others were lower at the exact 10% and about 6%, respectively. However, in 2008, Country 1 climbed dramatically to 35%, taking the top spot (taking the lead). Meanwhile, Country 2 slightly rose to about 27% and Country 3 saw a minimal rise to 8%.

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The given graphs exhibit the data regarding how much money citizens from three European countries allocated to food and other products between 1998 and 2008.

Overall, it is evident that both food and goods sectors recorded an upward movement in the percentage of income across all three nations throughout the period. In addition, country 2 had the highest percentage in 1998 before being overtaken by country 1 in 2008 in both categories

In terms of food, Country 2 took the led (= took the lead = led the chart) in the proportion with 22% while the figures for Country 1 and Country 3 were fallen behind at exactly were lower, at 10% and 6%, respectively. By 2008, Country 1 surged to 35% and reached the dominant spot (became the dominant consumer). Meanwhile, Country 2 underwent a slight climb to over 25%, and Country 3 rose slightly by about 2% in food bought in supermarkets.

Turning to bought products, in 1998, Country 2 started with the greatest figure at around 25% before witnessing a minimal increase by approximately 2% in 2008. In constrast, both Country 1 and country 3 recorded under 5% in the proportions of purchased goods in the beginning. However, there was a steeply improvement in the figures for those in 2008, Country 3 uplifted by roughly 15% and Country 1 soared to nearly 40%, becoming the top spot in 2008.

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The bar charts compare the proportion of income allocated to food and other products in three different European countries in two separate years, 1998 and 2008.

Overall, it is clear that the percentages of both food and goods bought in supermarkets saw an upward trend across all three nations throughout the ten-year period. Notably, country 1 experienced the most substantial growth, surpassing country 2 to become the dominant nation in both sectors. (good)

Regarding the food category, country 2 initially took the lead in 1998 with approximately 22%, followed by Country 1 and Country 3, accounting for precisely 10% and about 6% respectively. Over the following decade, the proportion in country 1 surged to 35%, overtaking the others to claim the top spot by 2008. Meanwhile, country 2 climbed slightly to around 27% while country 3 witnessed a marginal rise to 8%.

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The bar charts provide information about how much the income of citizens was spent on food and other products in three different European countries in two seperate (chính tả: separate) years, 1998 and 2008.

= The bar charts provide information about + how much + mệnh đề

Overall, it is evident that the propotion (proportions) of income of consumers allocated to food and goods experienced upward trends across all three nations over the decade. Additionally, country 1 witnessed the most significant growth, eventually overtaking country 2 to become the dominant country i both categories.

Regarding the food category, in 1998, country 2 led with approximately 22% while the figures for country 1 and country 3 were lower at exactly 10% and about 6%, respectively. However, in 2008, the proportion in country 1 increased significantly to 35%, taking the top spot. Meanwhile, country 2 experienced a slight improvement/ growth to around 27% and country 3 saw a marginal rise to 8%.

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The bar charts compare the proportion of income allocated to food and other products in three different European countries over the period of ten years, starting from 1998.

# data[].attributes.body
The bar charts illustrate information regarding how much of income of people in three different nations spent on food and other products between 1998 and 2008.

Overall, it is clear that the percentages of income spent on both food and other goods increased in all three countries between 1998 and 2008. Notably, Country 1 experienced the greatest increase and surpassed Country 2 to record the highest figures in both categories at the end of the period.

Regarding to food expenditure, Country 2 led the chart in 1998 with approximately 22%, while the proportion of Country 1 and Country 3 were considerably lower, at around 10% and about 6% respectively. By 2008, however Country 1 became the leading country, with the proportion rising to about 35%, whereas the figure for both Country 2 and Country 3 increased to approximately 27%.

A similar pattern can be seen in goods expenditure. Although country 2 initially had by far the highest percentage, at around 24%, the figure for Country 1 and 3 were only 3% and 1%, respectively. However, country 1 experienced a significant rise through the period and actually became the leading country, approximately 38% in 2008. By contrast, the percentage of country 2 and 3 were considerably lower, at around 25% and 15%, respectively.

# data[].attributes.body
The bar charts compare the proportion of exnpenditure (chính tả) which was spent on food and other products in three European nations over a decade from 1998.

Overall, it is evident that the percentages of both food and products witnessed upward trends in three nations over a period of ten years. In addition, country 1 showed the most sharp (=> sharpest) growth that surpassed country 2 to took (to take) the lead in both genres.

Looking at the bar chart, country 2 initially led the chart in 1998 with around 22% while the figures for country 1 and country 3 were siginificantly lower at exactly 10% and 6%, respectively. In contrast, by 2008 the proportions in country 1 climbed to 35%, reaching a peak at the same time. Meanwhile, country 2 underwent a slight growth to about  27% while/ whereas country 3 witnessed a marginal increase to 8%

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The bar charts compare the proportion of budget spent by consumers in three different European nations on food and other products between 1998 and 2008.

Overall, all three distinct European countries witnessed an upward trend in the consuming for/ the consumption of/ spending on food and products over a period of ten years. It is also noticeable that country 1 experienced the most significant increase, overtaking country 2 to become the dominant nation/ the lead nation in both categories over the period shown.

Regarding the food consumption, in 1998, Country 2 took the first position (= took the lead = ranked first), at 22%, whereas the figures for Country 1 and 3 were enormously significantly lower, at around 10% and 6%, respectively. Over the next ten years, Country 1 surged to 35% and overtook Country 2 to become the dominant nation, while Country 2 and 3 witnessed a marginal growth to 27% and 8% respectively.

While + clause, clause

clause 1, while + clause

While

In term of other products, in 2008, Country 2 spend the most budget on this category, at around 25%, while the figures for two remain Country 1 and 3 were significant lower, just only 4% and 1% respectively. Over a decade, Country 1 soared to almost 40% and surpassed Country 2 to took the lead nation, while Country 2 saw a slight increase to 27% . Meanwhile, Country 3 increased tenfold to 11% but also be the least consumption nation on other products.

# data[].attributes.body
The bar charts provide information about how much of income of citizens in three distinct European countries spent on food and other products in two separate years, 1998 and 2008.

Overall, it is evident that the proportions of both food and goods purchased in supermarkets increased across all three nations throughout the decade. In particular, Country 1 recorded the greatest growth, eventually surpassing Country 2 to become the leading nation in both categories.

In terms of the food category, at the beginning of the period, Country 2 topped the chart at approximately 22%, whereas the figures for Country 1 and Country 3 were significantly lower, at exactly 10% and about 6%, respectively. By 2008, however, the proportion for Country 1 surged to 35%, making it the leading/dominant country. Meanwhile, Country 2 recorded a slight increase to around 27%, and Country 3 saw a modest rise to 8%.

Turning into the goods category, Country 2 still ranked first at around 22%, followed by Country 1 at approximately 4% and Country 3 at roughly 1%, respectively. At the end of the period, Country 1 rose dramatically to nearly 35%, overtaking the other two countries to lead the chart. In comparison, Country 2 increased silghtly to about 23%, and the figure for Country 3 climbed to around 8%.

# data[].attributes.body
The bar charts give information regarding how much of the income of consumers in three distinct European countries was spent on food and other products between 1998 and 2008

Overall, it is clear that all three nations experienced significant growth in the percentages of food and goods bought in supermarkets. According to the charts, country 1 takes the lead in both categories, overtaking country 2.

Particularly, in 1998, Country 2 had the highest percentage of food bought in supermarkets, with approximately 22%, which led the chart. Meanwhile, the proportions for Countries 1 and 3 was => were considerably lower at 10% and about 6%, respectively. However, in 2008, the percentage of country 1 surged up to around 35%, taking the top spot (taking the lead). Country 2 had a slight increase to around 27%, and Country 3 experienced a minimal rise to 8%.

Regarding expenditure on goods, Country 2 dominated in 1998, with approximately 25% of purchases made in supermarkets, compared with negligible proportions of 5% in Country 1 and 2% in Country 3. A decade later, Country 1 experienced the most dramatic increase, reaching about 39%, whereas the figures for Countries 2 and 3 stood at 25% and 15%, respectively.

# data[].attributes.body
The bar charts provide information about how much citizens' expenditure in three different European countries spent on food and other consumer goods in a ten-year period, starting from 1998.

Overall, it is readily apparent that the proportion of both food and goods bought in supermarkets experienced an ascending trend across three nations over the decade. In addition, country 1 witnessed the most profound growth, eventually dominating/ overtaking / surpassing country 2 to take the lead in both categories. Regarding the food categories, Country 2 initially took the lead in 1998 with approximately 22%, followed by Country 1 at exactly 10% and Country 3 at about 6%. However, the proportion in Country 1 surged to 35%, taking the dominant position, whereas Country 2 presented a slight rise to around 27%, and Country 3 saw a minimal growth (growth: danh từ k đđ => saw minimal growth) to 8%.

Turning to goods expenditure, the percentage of expenditure in Country 1 and country 3 was only 3% and 1% respectively, while the figures for Country 2 dominated with about 24%. In 2008, Country 1 ranked first at approximately 38%, while the figures for both country 2 and country 3 was considerably lower at 25% and 15% respectively.

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The bar charts compare the proportion of income spent on food and other goods in three European nations in the years 1998 and 2008.

Overall, it is clear from the charts = it is clear that the percentages of both food and goods purchased in supermarkets increased across all three countries over the surveyed period. Additionally, Country 1 recorded the most significant growth in the expenditure on both categories throughout.

Regarding the food category, Country 2 initially recorded the leading share, comprising approximately 22% of the total expenditure. This was followed by Country 1 and Country 3, taking up a tenth and  around 6% respectively. By 2008, however, the percentage of expenditure on food in Country 1 increased noticeably to 35%, overtaking Country 2 to become the leading nation in this category. Meanwhile, the figures for Country 2 and Country 3 both witnessed marginal increases to roughly 27% and 8% in that order.

In terms of goods bought in supermarket, in 1998, Country 2 made up around 23% of the expenditure, compared to approximately 4% in Country 1. Noticeably, the percentage of income spent on goods in Country 3 was only 1%, representing the lowest figure in both charts. Over a decade, a similar pattern was seen in the expenditure in Country 1, with the percentage soaring to nearly 40% and surpassing that of Country 2 (approximately 25%). Moreover, the proportion of income spent on commodities in Country 3 registered a remarkable rise to about 13% in the end.

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The bar charts compare the proportion of household income allocated to expenditure on food and other commodities in three different European countries over a 10-year period, starting from 1998.

Overall, it is clear that all three nations experienced an increase in their spending levels = in their figures for both food and other products. Notably, country 1 witnessed the most profound = significant/ dramatic growth, surpassing country 2 to register the highest figures in both categories.

Regarding expenditure on food, in 1998, country 2 led the way with approximately 22% of income. This was followed by country 1 at 10% and country 3 with the lowest figure at around 6%. By 2008, a dramatic shift was observed as the percentage for country 1 surged to 35%, overtaking country 2 to become the highest. Meanwhile, country 2 experienced a moderate growth to roughly 27% and country 3 saw a marginal rise to 8%.

Turning to the data for goods, country 2 recorded the highest figure in 1998 at roughly 23% of spending, compared to. Meanwhile, the figures for country 1 and country 3 were lower, at nearly 6% and 2%, respectively. By 2008, similarly, the percentage for country 1 increased significantly, reaching a peak of 40%, and overtaking country 2 to stand the first place. Following this,the figure for Country 2 climbed steadily to around 28%, while that of Country 3 also grew to 17%.

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The bar charts illustrate how three distinct European countries allocated their income to food and other goods between 1998 and 2008.

What is most evident when looking at the data is that the percentage of expenditure on consumer goods increased over the ten-year period to varying degrees. Additionally, country 1 witnessed the most profound growth, eventually overtaking Country 2 to become the dominant country/ the highest spender in both categories.

In terms of food purchases, Country 2 was the leader in 1998 with 22%, which rose and its figure rose steadily to 27% by 2008. However, Country 1 saw the most remarkable surge, with the proportion of supermarket food shopping more than tripling from 10% to 35%, overtaking Country 2 to become the highest by the end of the period (gọn hơn: However, the proportion of supermarket foods in country 1 showed the surge, tripling from 10% to 35% and overtaking...). In contrast, the percentage of supermarket food shopping bought in Country 3 remained minimal, growing only marginally from 6% to 8%.

A comparable trend is observed in the general goods purchased in supermarket. The consumer behavior in country 2 recorded a nelegible change, with its figure rose from about 22% in 1998 to just 25% in 2008. In stark contrast, Country 1 registered a tenfold rise, from a mere of 4% in 1998 to nearly 40% in 2008, taking the highest position of Country 2. Similarly, the percentage of goods consumption of Country 3 grew dramatically, starting at a only 1% in 1998 then jumping to around 14% in 2008.

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The bar charts compare ...... three European nations in term of their citizens expenditure food and others consumer goods over a ten-year period, starting from 2008

=> The bar charts compare the citizens' expenditure in three European nations on food and other consumer goods over a ten-year period, starting from 2008.

=> other + danh từ số nhiều: những cái khác

= others

It is clear that the percentage of both food and goods bought in supermarkets (DANH TỪ ĐẾM ĐƯỢC TRONG BÀI => MẠO TỪ + DANH TỪ/ HOẶC DANH TỪ SỐ NHIỀU) witnessed an upward trend across all three countries over the decade, surpassing country 2 to become the dominant nation.

Regarding the food category, country 2 led the chart in 1998 with roughly 22%, while country 1 and country 3 were sharply lower at exactly 10% and about 6%, respectively. Looking at 2008, however, the percentage in country 1 surged to 35%, taking the top spot. Country B also witnessed growth, with figures reaching from just over 20% to about 25%, whereas, country 3 saw a marginal rise to 8%

In the term of goods bought from supermarkets, the pattern was similar. Country A rise significant quickly from approximately 5% in 1998 to nearly 35% in 2008, becoming the highest figure among three nations. Country B also showed a modest rise, going from about 25% to just nearly 27%. Country 3 experienced a considerable increase, starting with a negligible in 1998 to nearly 15% in 2008

# data[].attributes.body
The bar charts illustrate the proportion of income allocated to food and other consumer goods in three different European countries between 1998 and 2008.

Overall, expenditure on both food and other goods experienced an upward trend in all three countries over a ten-year period. Notably, the most dramatic growth was observed in country 1, overtaking country 2 to take the lead in both categories, while country 3 maintained the lowest position in both years.

In terms of food expenditure, country 1 witnessed the most significant increase, rising sharply from 10% to roughly 35% in 2008. Country 2 had/ experienced a slight increase, from approximately 22% to around 27%, while country 3 also saw a minimal rise, though it still recorded the lowest figure, climbing from about 6% to just 8% in 2008.

A similar pattern was recorded for other commodities. Country 1 experienced a significant increase, surging more than tenfold from a mere 3% to nearly 40% over the decade, representing the largest growth overall. By contrast, country 2 only showed a slight rise, from roughly 25% to just 27%, indicating a stable consumption compared to the other two nations. The buying power of country 3 grew considerbly from a modest 2%% to approximately 13%, maintaining the lowest figures among the three countries in 2008.

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The bar charts compare the expenditure on food and other products in three European countries between 1998 and 2008.

Overall, it is evident that all countries witnessed an upward trend (upward trends) in the proportion of income spent on food and other goods, with country 1 showing the most considerable growth. Noticeably, country 3 remained the lowest spending (remained its lowest spending) throughout the period.

Looking first at the food chart, the figure for country 2 took the leading position with approximately 22% in 1998, far exceeding the other countries. However, while country 2 climbed by 5 percentage points by 2008, country 1 overtook it with a surge to exactly 35%. By contrast, country 3 marginally increased from 6% to 8%, remaining its lowest rank among the three countries.

Turning to the remaining chart, a similar pattern was observed when country 1 continued to take the leading position from country 2/ overtaking ... Starting from ...%, the former rose remarkably to ..., while the latter experienced a much less significant rise by ...% from ...% to ...%. Likewise, country 3 also experienced an increase, but to a greater degree compared to the food category/ greater extend than the food...., climbing from a mere 2% to 7% in 2008

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The bar charts illustrate the proportion of income allocated to food and other products in three distinct countries between 1998 and 2008.

Overall, it is clear that the percentage of both food and goods bought in supermarkets experienced an upward trend in three countries over the decade. In addition, country 1 overtook country 2 to become the dominant nation in both categories.

Regarding food, the percentage of food in country 1 surged from 10% in the initial year to 35% in 2008. The figure for country 2 initially led the chart in 1998 with approximately 23%, increasing to roughly 27% by 2008, while the figure for country 3 rose slightly from roughly 6% to around 8% in 2008.

Turning to/ moving on to products, the percentage of expenditure on goods in country 1 recorded an upward trend, increasing dramatically from around 4% to approximately 40% by 2008. The figures for country 2 and country 3 were considerably lower at around 24% and 3%, respectively. The former rose slightly to approximately 28% by 2008. By contrast, the latter soared fourfold by 2008.

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1. Điều này có thể dẫn đến việc giá cả hàng hóa tăng lên, gây áp lực tài chính cho người tiêu dùng.

This could lead to price increases for goods, putting pressure on consumers' finances.

an increase in good price

put a financial pressure on

2. Ngoài ra, nhiều nhà máy quy mô nhỏ có thể phải đóng cửa vì không đáp ứng được tiêu chuẩn, dẫn đến thất nghiệp.

In addition, many small-scale factories may have to close down because they do not meet standards, leading to unemployment.

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1. However, the burden of strict environmental regulations also poses significant obstacles to the economy.

2. One of the most pressing/ severe issues is the significant increase in operating costs of a business due to heavy investment in waste treatment technologies.

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1.However, stringent implementation of environmental regulations may pose considerable obstacles to the economy

2. One of the most concerning problems is an escalation in the businesses' operating costs due to the heavy investment in waste treatment technology

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1. This may lead to higher prices for goods, causing financial pressure on consumers.

2. In addition, many small factories may have to close down because they fail to comply with standards, leading to unemployment.

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This can lead to an increase in the goods' prices, putting financial pressure on consumers. Moreover, some small-scale companies have to close down because they fail to meet the standards, leading to unemployment.

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However, imposing overly strict environmental regulations can pose significant obstacles to economic progress.

One of the biggest concerns is that businesses may deal with higher operating costs, as they are required to invest heavily in waste treatment technologies.

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This can lead to higher prices, thereby placing a financial burden on costumers. In addition, many small factories have to close down because they cannot meet the standards, resulting in unemployment.

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1.However, the application of/ implementation of strict environmental policies can also pose significant obstacles to the economy

2. one of the biggest problems is an escalation in operating costs of businesses due to investing heavily in waste treatment technologies

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1. However, applying excessively strict environmental regulations can also pose significant obstacles to the economy.

2. One of the most pressing concerns is that businesses' operating costs will increase due to the investment required for waste treatment technologies.

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1. This could lead to higher price, putting financial pressure on consumers

put financial pressure on sb

2.

Additionally, many small factories will be closed down because of failing to meet standards, leading to unemployment

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1. this is possibly lead to higher consumer prices, (which causes) causing financial pressure for consumers

this can lead to

drive up consumer prices

1. in addition, the small factories possibly close down because they cannot meet standards, lead to unemployment

S+v+

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However, applying overly strict environmental regulations can also cause big obstacles to/ for the economy

pose a severe threat to the economy.

One of the major problems is the escalation in operating costs as businesses are compelled to invest heavily in waste treatment technologies.

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1. Điều này có thể dẫn đến việc giá cả hàng hóa tăng lên, gây áp lực tài chính cho người tiêu dùng.

- lead to/cause

- higher price/ consumer prices

- financial pressure / burden on

- consumers

2. Ngoài ra, nhiều nhà máy quy mô nhỏ có thể phải đóng cửa vì không đáp ứng được tiêu chuẩn, dẫn đến thất nghiệp.

- small factories

- close down

- meet standards/ comply with standards

- fail to

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1. Tuy nhiên, việc áp dụng các quy định môi trường quá khắt khe cũng có thể gây ra những trở ngại lớn cho nền kinh tế.

- cause big obstacles / pose significant obstacles to

- economic progress / the economy

2. Một trong những vấn đề lớn nhất là chi phí vận hành của doanh nghiệp sẽ tăng cao do phải đầu tư vào công nghệ xử lý chất thải.

- operating costs

- increase/ an escalation in

- waste treatment technologies

- invest heavily in

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1 besides that , the transition to renewable energy also creates many new jobs the green technology industry

2. therefore , investing the enviroment is the key to the sustainable development of a nation

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Furthermore, many strict environmental policies help protect public health, especially reducing the risk of respiratory diseases .For example, in many major cities, limiting the use of private vehicles has significantly decreased air pollution.

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1. Furthermore, strict environmental protection policies protect public health, particularly reducing risk of respiratory illness.

2. For instance, in many big cities, the restriction of private transport has reduced the level of smoke and dust

# data[].attributes.body
In addition, the transition to renewable energy creates numberous job oppotuinities in the green technology sector.

Therefore, investing in the invironment is the key to a nation's sustainable development.

# data[].attributes.body
3. Moreover, the transition to renewable energy also creates numerous new jobs in the green technology industry

4. Hence, the investment to the environment plays a crucial role in a nation's sustainable developments

# data[].attributes.body
Besides, strict environmental protection policies contribute to improving public health, especially reducing respiratory diseases. For instance, in some big cities, the reduction of private vehicles significantly enhances the air quality by decreasing the smog levels.

decrease/ restrict: han che

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Furthermore, strictly environmental protection policies protect public health, particularly reducing the risk of respiratory diseases.

chinh sach moi trung giup cai thien suc khoe, reducing the risk of ...

For example, in many major cities, restricting the use of private vehicles leads to a significant reduction in air pollution.

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Furthermore, strict environmental protection policies preserve public health, especially reducing the risk of respiratory diseases. For example, in metropolises, the restriction of personal vehicles significantly reduces smog levels.

# data[].attributes.body
3.Furthermore, converting into renewable energy also creates a lot of new jobs in the green technology industry.

4.Because of that, the investment of environment plays a key role in the sustainable development of a country.

# data[].attributes.body
Besides that, the conversion of renewable resources also creates numerous job opportunities in the green technology industry.

Therefore, investing in the environment is the key to the sustainable development in a nation.

# data[].attributes.body
1. In addition, the transition to renewable energy also creates new jobs in the green technology industry.

2. Therefore, investing in the environment is the key to a nation's sustainable development.

# data[].attributes.body
1. Besides, the transition to renewable energy also creates a lot of new jobs in the green technology industry.

generate employment opportunities within the green technology

2. So, investing in environment is the key to promoting sustainable development of the country

the sustainable development of a country

# data[].attributes.body
1. In addition, enviromental protection policies strict and also protect health community, special is reduce the

2. for example, in major cities, restricting private vehicles has reduced significantly the level of smog.

# data[].attributes.body
1. Bên cạnh đó, việc chuyển đổi sang năng lượng tái tạo cũng tạo ra nhiều việc làm mới trong ngành công nghệ xanh.

2. Do đó, đầu tư vào môi trường là chìa khóa cho sự phát triển bền vững của một quốc gia.

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1. Ngoài ra, các chính sách bảo vệ môi trường nghiêm ngặt còn bảo vệ sức khỏe cộng đồng, đặc biệt là giảm nguy cơ mắc bệnh hô hấp.

2. Ví dụ, tại nhiều thành phố lớn, việc hạn chế phương tiện cá nhân đã làm giảm đáng kể mức độ khói bụi.

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The pie charts show the percentages of users in five different age categories on Twitter, Facebook and YouTube.

Overall, the 18–34 age group represented the largest share of users on the majority of platforms, whereas people aged over 65 consistently had the lowest figures.The pie charts show the percentages of users in five different age categories on Twitter, Facebook and YouTube.

On Facebook, users aged 35–49 represent the largest segment, accounting for 30%, which is just 1 percentage point higher than the 18–34 age group at 29%. Meanwhile, people aged 50–64 and 10–17 make up 19% and 14% respectively, while those aged 65 and over constitute the smallest proportion, at only 8%.

Regarding YouTube, the 35–49 category again ranks first with 29%, followed closely by 26% of users aged 18–34. Teenagers aged 10–17 account for a considerable 20%, whereas the 50–64 group comprises 15%. The oldest age group remains the least represented, making up just 10%.

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The pie chart comapre the percentages of users from five different age brackets across three popular social media platforms (facebook, youtube, twitter)

Generally, the 18-34 age group occupied the largest rate of users on three platforms, espeacially on Youtube and Twitter. Whereas the oldest age group , those aged 65 and over , consistently make up the smallest share on every platform.

Whereas S1+V1, S2+V2.

On Facebook, users aged 35-49 accounted for the largest proportion of people at 30%, just one percentage point higher than the 18-34 group at 29% . Meanwhile, the 50-64 and 10-17 groups constitute 19% and 14% respectively , and the over-65s make up the smallest share, at a mere 8%. Regarding Youtube, the 35-49 age group remains the largest segment , representing 29% of users , closely followed by 26% of people aged 18-34. Adolescents (10-17) comprise a notable 20%, whereas those aged 50-65 make up 15%. The oldest group again records the lowest figure at 10%

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The pie charts compare the age distribution of users on Facebook, Twitter, and YouTube across five age categories.

Overall, the 18–34 age group represents the largest proportion of users across all platforms, particularly on Twitter and YouTube. By contrast, people aged 65 and above account for the smallest share on each platform.

On Facebook, people aged 35–49 make up the largest proportion of users at 30%, which is only 1% higher than the figure for the 18–34 age group (29%). Meanwhile, users aged 50–64 and 10–17 account for 19% and 14% respectively, while those aged 65 and above represent the smallest share, at just 8%. Regarding YouTube, the 35–49 age group also has the highest percentage of users, at 29%. This group is followed by the 18–34 group, which accounts for 26%. Teenagers aged 10–17 make up 20% of users, whereas the figure for those aged 50–64 is 15%. People aged 65 and over once again constitute the smallest proportion, at only 10%.

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The pie charts illustrate the percentage of users from five different age groups using three well-known social media platforms:Twitter,Facebook and Youtube.

Overall,it is clear that the 18-34 age group accounts for the highest proportion of users on all platforms, especially on Youtube and Twitter. By contrast,people aged 65 and over make up the smallest proportion on every platform.

On Facebook,individuals aged 35-49 constitute the largest proportion,accounting for 30%,marginally surpassing the portion of those aged 18-34 at 29%.Meanwhile,the 50-64 and 10-17 groups comprise 19% and 14% respectively,and people aged 65 and over occupy the smallest segment at only 8%. Regarding Youtube, the 35-49 age group again leads with 29%, closely followed by 26% of individuals aged 18-34.Young people (10-17) also represent a substantial share at 20%.By contrast,the proportion of users aged 50-64 is comparatively lower,at 15%,and seniors aged 65 and above remain the least represented group,making up just 10%.

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The pie charts compare the percentage of users from five different age brackets using three popular social media applications: twitter, facebook, and youtube.

Overall, the 18-34 age group constitutes to the largest allocation of users across all three platforms, especially Youtube and Twitter. In contrast, people in the 65 and above age group make up the smallest shares on every platform.

On Facebook, people aged 35 to 49 represent the largest segment, accounting for 30%, which is just one percentage point higher than the 18-34 age group at 29%. Meanwhile, the 50-64 and 10-17 age brackets constitute 19% and 14%, respectively, and seniors aged 65 and above accounted for the smallest portion at just 8%. A similar trend can be seen on YouTube. The 35-49 category once again takes the lead with 29%, followed closely by the 18-34 age group at 26%. Teenagers aged 10-17 represent a noticeable 20%, whereas those aged 50-64 comprise 15%. The over-65s remain the least active on this platform, at only 10%