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The line graph demonstrates the distinction among three countries: Australia, Canada and the European Community from 1985 to 1990.

Overall, the total wheat export in Canada occupied the largest in most of the time, while that in Australia showed conversion. In addition, the figure for the European Community steadily increased over time.

During the 1985 and 1990 period, Canada showed fluctuation, beginning with just under 20, the volume of wheat declined to about 17 one year later before expressing a sharp rise to 25 in 1988. Meanwhile, the volume of exported wheat of other countries stayed under Canada. The European Community depicted a stable figure at around 15 , while Australia regularly decreased to just above 10 tonnes until 1990.

For the remaining years, there were a lot of interesting changes. The volume of exported wheat in Canada decreased steeply to just under 15 before witnessing a 10-ton recovery in 1990. At the same interval, exported wheat abroad in Europe increased impressively, surpassed Canada by about 10 tonnes by 1990 and stopped at 21 tonnes in 1990.

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The line graph illustrates the amount of wheat exported by Australia, Canada and the European Community from 1985 to 1990, measured in millions of tonnes.

Overall, Canada's exports fluctuated considerably and reached a peak in 1988, while Australia's exports showed a downward trend. In contrast, the European Community experienced an overall increase and became the largest exporter by 1990.

In 1985, Australia exported 15 million tonnes of wheat, compared with 19 million tonnes in Canada. Australia's figure rose slightly to 16 million tonnes in 1986 before falling steadily to 11 million tonnes in 1989 and 1990. Meanwhile, Canada's exports decreased to 17 million tonnes in 1986, then increased sharply to a peak of 25 million tonnes in 1988.

Regarding the European Community, wheat exports stood at 17 million tonnes in 1985 before decreasing to 14 million tonnes in 1986. The figure then increased gradually to 15 million tonnes in 1987 and remained stable in 1988. After that, it rose significantly to 19 million tonnes in 1989 and reached 21 million tonnes in 1990. In contrast, Canada's exports dropped dramatically to 14 million tonnes in 1989 before recovering to 19 million tonnes in the final year.

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The diagram illustrates the process of producing electricity from coal through a gasification system.

Overall, the process involves several stages, beginning with coal and oxygen entering a furnace and ending with electricity generation. Electricity is produced twice: first by a gas turbine using purified syngas and then by a steam turbine powered by steam created from waste heat.

Initially, coal is transported into a furnace, where it is combined with oxygen. Inside the furnace, coal is converted into raw syngas, while slag is removed from the bottom as a by-product. The raw syngas then passes through a removal unit, where impurities such as carbon dioxide (CO₂), mercury and sulphur are extracted. After purification, the clean syngas is sent to a gas turbine, which drives a generator to produce electricity.

Next, the hot exhaust gases from the gas turbine are directed to a heat recovery steam generator. There, the waste heat is used to produce steam. This steam powers a steam turbine connected to another generator, generating additional electricity. Finally, the electricity produced by both generators is supplied to the power grid, while flue gases are released from the heat recovery unit.

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The pie charts illustrate what Australian school leavers did immediately after leaving secondary school in 1980, 1990 and 2000.

Overall, the percentage of school leavers who got a job increased over the period and became the largest group in 2000. In contrast, the proportion of students who continued further education decreased. Meanwhile, unemployment was the smallest category in all three years.

In 1980, half of Australian school leavers continued their education, while 40% found employment. Only 10% were unemployed. By 1990, the proportion of employed students had risen significantly to 50%, overtaking further education, which dropped to 38%. The unemployment rate also increased slightly to 12%.

In 2000, employment continued to rise and reached 55%, the highest figure shown in the charts. By comparison, the percentage of students choosing further education fell a little to 37%. At the same time, unemployment decreased from 12% to 8%, making it the lowest figure among the three categories.

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The plans show Grange Park when it opened in 1920 and how it looks today.

Overall, the park has changed a lot. Some old features, such as the entrances and one rose garden, are still there, but many places have been replaced with new facilities.

In 1920, there were two entrances, one on Arnold Avenue and one on Eldon Street. There was a fountain in the centre of the park. On the left side, there was a stage for musicians. There were three rose gardens, two at the top and one at the bottom left. In the top right corner, there was a pond for water plants, while a glasshouse was in the bottom right corner. Seats were also placed around the park.

Today, the fountain has been replaced by a rose garden with seats around it. The stage has become an amphitheatre for concerts. On the right side of the park, the pond and the glasshouse have been removed. A café and a children's play area have been built in the top right, while a water feature is now in the bottom right. In addition, an underground car park has been added with an entrance from the east side of the park.

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The bar chart shows the amount of money spent on advertising in the USA through six types of media in 2003 and 2004. The table shows the ranking of advertising spending by sector in the same years.

Overall, advertising spending increased in most types of media in 2004. Local newspapers had the highest spending, while network radio had the lowest. In the table, most sector rankings did not change.

In terms of media, spending on local newspapers was the highest, rising from about 23 billion dollars in 2003 to 25 billion in 2004. Network TV also increased from around 20 billion to 22 billion, and magazines went up from about 19 billion to 21 billion. Spending on national newspapers rose slightly from around 3 billion to 4 billion. Local radio stayed almost the same at about 7 billion, while network radio was the lowest at about 1 billion in both years.

Looking at the table, automotive was the highest-ranked sector in both years. Retail, telecom/Internet, and medicine also kept the same positions, ranking second, third and fourth. The only change was that financial services moved up from sixth to fifth place, while food and beverages fell from fifth to sixth.

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The given line graph illustrates the monthly revenue of convenience stores in four cities throughout 2021.

Overall, sales in convenience stores saw significant variations across all cities. City A started with the highest figure, while city C generated the greatest revenue at the end. However, the lowest points were recorded by city A and D in July and October, respectively.

In January, city A gained about 13,000, being 3000 higher than city B. Nevertheless, a month later, city B reached its peak of nearly 20,000 while city A decreased to about 6000. Having surpassed City B to reach a peak of 18,000 in April, the figure for City A then dropped to 10,000 in May before recovering to 17,000 in the next month. During the same period, the figure for city B steadily decreased to 14,000 in June .The figure continued to decrease more dramatically, reaching a low of 6000 in August. Similarly, the figure for City A steeply fell to about 5,000 in October before surging to nearly 19,000 in November and then dropping to around 12,000 in December. Meanwhile, City B rebounded to approximately 19,000 in October before declining to about 7,000 at the end of the period.

Turning to city C and D, although city D had a lower initial point than city C, city D reached its highest point of 15000 in the middle of the year and about 6000 higher than the figure of city C. However, having substantially plummeted to 17,000 a month later, city C surpassed city D which steeply fell to 5000. Despite witnessing a fall shortly afterwards,City C recovered and remained higher than City D, ending the period at approximately 14,000, compared with 12,000 for City D.

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The bar chart compares how much people in three income groups spent on three kinds of fast food, while the line graph shows how much of these foods people consumed between 1970 and 1990.

Overall, people with higher incomes spent more money on fast food, especially hamburgers. In addition, the consumption of fish and chips and hamburgers increased over time, while pizza became less popular.

Looking at the bar chart, people in the high-income group spent the most on hamburgers, at about 45 pence per person. They spent around 19 pence on pizza and 17 pence on fish and chips. In the average-income group, hamburgers were also the most popular at about 33 pence, followed by fish and chips at 25 pence, while pizza was the lowest at around 12 pence. For the low-income group, people spent the most on fish and chips, at about 17 pence, compared with 14 pence on hamburgers and only 7 pence on pizza.

Turning to the line graph, pizza was the most commonly eaten fast food in 1970, at around 300 grams per person, but its consumption gradually fell to about 200 grams in 1990. By contrast, fish and chips rose sharply from about 80 grams to 500 grams, becoming the most popular food by the end of the period. Hamburger consumption also increased steadily from around 40 grams to 300 grams in 1990.

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The bar chart shows how much money five organizations gave to developing countries for four purposes: machinery, building, staff training and research, measured in billions of euros.

Overall, Organization B gave the most money, while Organization D and Organization E gave less. Also, building and staff training received more money than the other categories in many organizations.

Regarding Organizations A and B, Organization A gave 1.0 billion euros to machinery, 1.5 billion to buildings, 1.2 billion to staff training and 1.1 billion to research. By contrast, Organization B donated slightly less for machinery 0.9 billion, but much more for the other three categories, reaching 1.4 billion for buildings, 1.9 billion for staff training and 1.6 billion for research.

Organization C donated 1.3 billion euros to both machinery and research. It also spent 1.0 billion on building and 0.8 billion on staff training. Organization D gave 0.9 billion for machinery, 1.0 billion for building, 0.7 billion for staff training and 0.6 billion for research. Finally, Organization E spent 0.8 billion on machinery, 1.0 billion on building, 0.9 billion on staff training and 0.7 billion on research.

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The table illustrates the annual amount of milk produced in four countries, namely the Netherlands, Australia, Tanzania and Guatemala, in 1990, 2000 and 2010.

Overall, the Netherlands and Australia produced far more milk than Tanzania and Guatemala throughout the period. While milk production in the Netherlands and the two developing countries generally increased by 2010, Australia experienced a significant decline.

In 1990, the Netherlands produced 11.262 million litres of milk, which was slightly higher than Australia's 11.246 million litres. The figure for the Netherlands then fell marginally to 11.155 million in 2000 before rising to 11.466 million in 2010, making it the highest producer. By contrast, Australia's production decreased steadily from 11.246 million to 11.105 million, before dropping sharply to 9.165 million litres in 2010.

Milk production in Tanzania increased gradually from 87,000 litres in 1990 to 142,000 litres in 2000 and 155,000 litres in 2010. Similarly, Guatemala saw continuous growth, with its output rising from 26,000 litres to 55,000 litres and then 84,000 litres. However, despite these increases, both countries produced considerably less milk than the Netherlands and Australia in all three years.

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The table compares the number of alcohol-related deaths in seven countries in 2005 and the average beer consumption per person.

Overall, the Czech Republic had the highest figures for both alcohol-related deaths and beer consumption, while Lithuania had the lowest number of deaths. In all countries, more men died than women.

The Czech Republic recorded the highest number of alcohol-related deaths, at 1,369,000, followed by Germany 1,185,000 and Austria 913,000. Ireland and Canada had similar totals, at 582,000 and 580,000, respectively. By contrast, Estonia and Lithuania recorded much lower figures, at 383,000 and 125,000. In all five countries, male deaths were much higher than female deaths

In all countries, male deaths were much higher than female deaths. For example, Germany reported 986,000 male deaths, compared with 200,000 female deaths. In terms of beer consumption, the Czech Republic had the highest figure, at 132 litres per person, while Canada had the lowest, at 86 litres. Germany, Austria and Ireland all consumed more than 100 litres on average.

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The table shows the number of hours people in seven age groups in Someland spend on six leisure activities each year.

Overall, watching TV/videos is the most popular activity in every age group, while group exercise becomes less common as people get older.

Teenagers spend 1,200 hours watching TV/videos, compared with 700 hours for people in their 20s, 400 hours in their 30s, 500 hours in their 40s, 600 hours in their 50s, 700 hours in their 60s and 1,100 hours for those aged 70+. For socialising with 4 or less people, the figures are 150 hours for teens and people in their 20s, rising to 300 hours in the 30s, before falling to 250 hours in the 40s and 50s and 200 hours in the 60s and 70s+.

Socialising with 4 or more people accounts for 350 hours in both the teens and 20s, then drops to 50 hours in the 30s and 40s and only 25 hours from the 50s onwards. Individual exercise is 150, 100, 200, 200, 50, 75 and 150 hours respectively. Group exercise falls steadily from 450 to 350, 200, 150, 50, and finally 0 hours in both the 60s and 70s+. Cinema attendance is also low, at 100, 75, 50, 25, 25, 50 and 75 hours across the age groups.

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The table shows the results of a survey of 6,800 Scottish adults aged 16 and over about their participation in different cultural activities during the last 12 months.

Overall, younger people were more interested in performances, visual arts, writing and computer-based activities, while older people were more likely to take part in crafts and make cultural purchases.

Among people aged 16–24, performances were the most popular activity at 35%, followed by visual arts at 30%. However, the figure for performances decreased to 22% among those aged 25–44. Similarly, participation in visual arts fell from 30% to 16%. By contrast, the percentages for crafts and cultural purchases increased from 11% to 17%. Writing also dropped sharply from 17% to 6%, while computer-based activities decreased slightly from 10% to 9%.

For the 45–74 age group, participation in crafts continued to increase to 22%, making it the most popular activity. Cultural purchases also rose slightly to 18%, while performances decreased further to 17%. In addition, the figures for visual arts, writing and computer-based activities fell to 11%, 5% and 5%, respectively. Overall, among all adults aged 16 and over, performances had the highest participation rate at 22%, whereas computer-based activities recorded the lowest figure at 6%.

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The table compares the percentage of companies in four sectors having problems hiring three categories of workers in 2003 and 2004.

Overall, employers found it most difficult to recruit skilled workers in both years. In contrast, technical and managerial staff was the easiest group to find. Additionally, the percentage of difficulty in recruiting technical and managerial workers decreased in all sectors over the period.

Regarding skilled workers, Commerce had the highest percentage in 2003 at 47%, but this figure fell to 41% in 2004. On the other hand, the numbers for Manufacturing, Building, and Services all increased, with Manufacturing reaching the highest point of 51% in 2004. For unskilled workers, Services experienced the largest increase, rising from 20% to 29%. Meanwhile, the percentage for Commerce decreased slightly from 22% to 19%.

Looking at technical and managerial staff, Building reported the highest figures, with 14% in 2003 and 10% in 2004. In contrast, Commerce recorded the lowest percentages, dropping from 2% in 2003 to 0% in 2004. Manufacturing and Services also saw small decreases, ending at 6% and 2% respectively in 2004.

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The table shows the figures for four cities, namely City A, City B, City C and City D, in each month of a year.

Overall, all four cities experienced considerable fluctuations throughout the period. The number of convenience stores in City C was the highest at the end of the period, while that of City B was the lowest.

At the beginning of the period, the number of convenience stores in City C and City B was almost the same, at about 10,000. After six months, City C had more stores than City B, with 17,300 and 6,700 respectively. However, in October, the number of stores in City B was higher than that in City C, at 18,700 and 16,100 respectively. By December, City C had 14,300 stores, which was almost twice the figure for City B, at 7,400.

The number of convenience stores in City A was higher than that in City D in January, at 12,200 and 7,500 respectively. In July, the difference became larger, with 16,200 stores in City A compared with 5,200 in City D. However, in October, City D surpassed City A, at 9,600 and 5,500 respectively. By December, the number of stores in City D was still higher, at 12,600 compared with 9,400 in City A.

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The table shows the percentage of households in Britain that owned different consumer durables between 1972 and 1983.

Overall, the ownership of most household appliances increased during the period. Televisions and vacuum cleaners were the most common items, while dishwashers and videos were much less popular.

In 1972, televisions were owned by 93% of households, making them the most common item. This figure rose slightly to 98% in 1983. Vacuum cleaners also increased from 87% to 95% by 1982. Refrigerators showed a significant rise, from 73% in 1972 to 94% in 1983. Similarly, the percentage of households with central heating increased steadily from 39% to 64%.

The figures for washing machines and telephones also went up. Washing machine ownership rose from 66% in 1972 to 80% in 1983, although it fell slightly from 75% in 1978 to 74% in 1979. Telephone ownership increased from 42% to 77%. Dishwashers were much less common, with only 3% of households owning one in 1978 and 5% in 1983. Finally, video recorders appeared in the table in 1983, when 18% of households owned one.

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The line graph illustrates how much money the U.S. government spent on five different research categories between 1980 and 2008.

Overall, spending on Health was by far the highest throughout most of the period, whereas General Science received the lowest amount of funding. In addition, expenditure for most sectors showed an overall increase over the 28-year period.

In 1980, spending on Health was $8 billion. After a slight decrease to $7 billion in 1984, it increased sharply to reach a peak of $22 billion in 2004, before falling to $18 billion in 2008. Spending on Space rose steadily from $6 billion in 1980 to over $9 billion in 2008, making it the second largest category. Meanwhile, the budget for Other fluctuated, starting at $7.5 billion in 1980, peaking at $8 billion in 2000, and finally dropping to $5 billion in 2008.

Regarding the remaining sectors, spending on Energy fluctuated over the period. It remained at $5 billion initially, surged to $8 billion in 1996, fell back to $5 billion in 2000, and then increased again to around $7.5 billion in 2008. In contrast, General Science had the lowest figure, starting at $2.5 billion in 1980. It grew gradually to $5 billion in 2000 and remained stable at this level until 2008.

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The line graph illustrates the monthly sales of convenience stores in four cities, namely City A, City B, City C and City D, in 2021.

Overall, sales in all four cities fluctuated considerably throughout the year. City B recorded the highest figure at the beginning of the year, while City A and City C reached the highest levels later. In contrast, City D generally had lower sales and experienced a sharp fall in July.

In January, sales in City A and City B were about 12,000 and 10,500 respectively. City C had a similar figure to City B, at around 10,500, while City D recorded only about 7,500. City B then rose sharply to approximately 19,000 in February before gradually falling to 16,000 in May. Meanwhile, City A fluctuated, reaching a peak of about 18,500 in April and then falling to 10,000 in May.

From June onwards, the figures continued to change significantly. City D increased to around 15,000 in June, but dropped sharply to about 5,000 in July. City C, on the other hand, climbed to approximately 17,000 in July and then reached a peak of 18,000 in September. City B also recovered strongly, rising from about 5,500 in August to 18,500 in October. Finally, City A reached its highest point of around 18,500 in November, whereas City B fell to about 7,500 in December.

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The line graph given illustrates the monthly sales of convenience stores in four cities throughout 2021.

Overall, all four cities experienced significant fluctuations in sales over the year. City A and City B recorded the highest peak figures during the period, whereas City C finished as the top-performing market by December.

According to the graph, City B began at 10,000 in January and rapidly rose to nearly 20,000 in February. Despite falling to 6,000 in August, it bounced back to 19,000 in October, before finishing the year at 7,500. Meanwhile, City A fluctuated dramatically, hitting major peaks in April and November at 18,500, but falling to 9,500 in December.

Regarding the remaining cities, City C began at 10,000 in January and plummeted to 6,000 in April. However, it progressed sharply in the second half of the year, peaking at 18,000 in September and finishing as the top city in December with 14,500. In contrast, City D peaked at 15,000 in June but fell to its lowest point of 5,000 in July before recovering to 12,500 by the end of the timeframe.

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The line graph compares the monthly sales of convenience stores in City A, City B, City C and City D in 2021.

Overall, City D increased the most at the end of the year, while City B recorded the highest figure in February. In addition, the sales figures for all four cities fluctuated considerably throughout the year.

Regarding City A and City B, the sales figure for City A stood at around 12.000 in January, which was slightly higher than City B at approximately 11.000. In the next month, that of City B increased sharply to about 19.000, while the figure for City A fell by nearly half. In June, that of City B dropped considerly to around 13.500. By contrast,the figure for city A increased significantly to about 17.000. City B experienced a sharp decline to around 6.000 in August before rising to about 18.000 in October, while city A fell sharply to around 5,500 in October. At the end of the year, city B lightly increased to about 7.500, while city A increased significantly to around 9.500.

In terms of City C and City D, City C recorded around 11,000 in January, while city D just have about 7.500. In April, city C saw a significant fall to around 6.000, while city D remained unchanged. In July, city D dropped slightly to 5.000, while city C increased sharply to around 17.500. At the end of the year, city D saw a sharp incease to about 12.500, while city C decreased slightly to about 14.000.