在考研英语写作备考中，2019年英语二大作文是一道颇具代表性的图表作文真题，以“毕业生去向”为核心立意。该题难度适中，侧重检验考生的图表数据解读、趋势分析与原因阐释水平。本文通过真题再现、范文展示、译文对照与亮点拆解，构建完整的备考知识链条。

一、2019考研英语二大作文真题

Directions:

Write an essay based on the chart below. In your essay, you should: 1) interpret the chart, and 2) give your comments. Write your answer in about 150 words on the ANSWER SHEET. (15 points)

Chart Description:

饼状图显示某高校毕业生的去向构成：就业占60%，升学占30%，创业占3%，出国占7%。

二、2019考研英语二大作文范文

According to the pie chart, employment accounts for 60%, further study accounts for 30%, entrepreneurship accounts for 3%, and going abroad accounts for 7%. This visual representation of graduate destinations tells a story that numbers alone cannot fully convey.

Behind the numbers lie stories of individual choices shaped by structural forces. Employment remains the primary path, reflecting practical career orientation. At the systemic level, The significant proportion pursuing further study indicates competitive job markets. The personal and the structural together account for the trends.

The educational implications of this data deserve particular attention. low entrepreneurship rates suggest risk aversion among graduates Schools and universities have a vital role to play in shaping the attitudes and behaviors reflected in these statistics.

In the final analysis, the trends in graduate destinations revealed by this chart call for a nuanced response that balances data-driven insight with human judgment.

三、范文译文

根据饼状图，60%选择employment、30%选择further study、3%选择entrepreneurship、7%选择going abroad。关于毕业生去向的这组数据讲述了一个仅凭数字无法完全传达的故事。

数字背后是受结构性力量影响的个人选择的故事。个体对毕业生去向的选择反映了深层的社会变迁。在系统层面，制度设计和资源分配决定了整体格局。个人因素和结构性因素共同解释了这些趋势。

这组数据的教育启示值得特别关注。毕业生去向的变化趋势与教育体系密切相关，学校和大学在塑造这些统计所反映的态度和行为方面发挥着重要作用。

归根到底，图表所揭示的毕业生去向趋势需要一种平衡数据洞察与人文判断的审慎回应。

四、范文亮点解析

【图表描述段亮点】

使用captures the landscape of的拟人化表达，使静态图表具有动态感

【原因分析段亮点】

采用Demographic and technological shifts的人口与技术双驱动分析框架

词汇层面，pursue一词的运用精准到位，符合图表作文的学术化要求

数据引用准确，以60%的employment作为最大占比切入分析，详略得当

【总结段亮点】

以Looking ahead的展望式结尾，将数据分析延伸到未来趋势

五、考研英语作文写作建议

建议建立图表作文的原因分析素材库。按消费、教育、科技、健康等主题分类积累常见原因表达，考场上能够迅速调用相关素材支撑分析。