众所周知，雅思小作文的出题方式主要为图表题，考题类型主要有4种（除流程图和地图外），分别为线图、柱图、饼图和表格。
一般情况下，考试时4种图形都是单独出现。但近来，“混合图”，即上述4种图形相互混合似乎成了一种出题的趋势，往往让很多同学措手不及，不知如何应对。
那么混合图如何写作呢，我们以下图为例做下分析：
The graph shows the population of three countries in 1950 and 2000 (in millions) and their projected population figures for 2050.The table shows the life expectancy figures for the years1950and2000 and the projected figures for 2050 for the same three countries. Write a report outlining the main features of the data presented and making comparisons where relevant. You should write at least 150 words.
这是一个柱图与表格的混合图，对混合图的描述遵循一个原则，不管是哪几类图的混合，都按图表本身的写法进行描述，即：
1） 如果两个图表都是有时间变化的图，就按有时间变化图表的写法进行描述；
2） 若两个图都是无时间变化的图表，就按无时间变化图表的写法进行描述；
3） 若一个图为有时间变化，一个图为无时间变化：有时间变化的图就按照有时间变化图表的写法描述，无时间变化的图就按无时间变化图表的写法描述。
从以上两个图可以看出，上述两个图表都是有时间变化的图，那么都按有时间变化图表的描述方法描述即可，即在描述过程中要体现趋势变化及重要数据，如极值等。写作时，混合图的文章组织一般为：
首 段：综合介绍图表信息
中间段：每个图单独成段，按照每类图表原本的写法分别描述
结尾段：分别总结两类图表各自的总体特点
Model Answer:
The data shows the populations and life expectancy figures for China, the USA and Spain in1950 and 2000 and the estimates for 2050.
China and the USA have increasing populations and this is expected to continue. China's population grewfrom700 millionin1950 to 1.2 billion in 2000. The population is expected to reach1.5 billionin2050.The population of the USA grew from 200 million in 1950 to 300 million in2000 and itis forecast to reach 400 million in 2050. Spain's population increased from 30 millionin1950 to 40 million in 2000, but is expected to drop to 35 million by 2050.
Life expectancy in all three countries rose between 1950 and 2000. In both years, the USA had the longest life expectancy (73 and 75). China's was the lowest in both years (65 and 68). That of Spain was between them (70 and 72). By 2050, Spanish and Chinese people are projected to live 5 years longer than in 2000, giving Spain the longest life expectancy (77). The figure for the USA is forecast to drop to 74.
To conclude, China and the USA are forecast to have larger populations, and life expectancy in China and Spain are forecast to rise significantly.
