The pie charts show the percentages about the source of fish imported to the United States in 1988,1992, and 2000, and the table compares the total value of fish in the three years.
The image depicts the most frequent difficulties that individiuals confront during their lives in another country. At first glance, it can be seen that different age groups experience different challenges.
The two bar charts give information about two reasons for studying among students of five age groups and the number of support they received from employers.
The bar graph compares the distribution of expenditures across five major categories- housing, food, transportation, health care, and clothing- in the United States, Canada, the United Kingdom, and Japan for the year 200
The Pie charts display the percentage of people who used different modes of transport, such as cars, bicycles, buses, trains, and walking, to get to university for work or study between 2004 and 2009.
The chart illustrates the averge cost for each kilo of clothing exported to the European Union from 7 countries of origin ( Argentina, Brazil, Japan, China, India, and Bangladesh) in 1993 and 2003.
The pie charts provide information on the motivation of people who use either a car or bicycle to go to work. The data clearly illustrate that while the most significant reason for driving is comfort, in the case of bike
The chart provides information on the demography of France and India in 1984. The data clearly illustrate the advantage of India in the number of born children.
The chart illustrates the outlay of4 different consumer goods such as cars,computers,books,perfume and cameras in 2 various countries France and Uk in 2010.
The pie chart depicts 6 distinct occupations of Anthropology students upon graduation from one University, and the table illustrates such graduates' income from 3 different professions (freelance consultants, government
The bar chart compares the expenses on 5 areas made by people who live in four countries in 2009. Overall, housing was the category with the highest expenses whereas healthcare and clothing were significantly lower than