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The image presents a horizontal bar chart with two bars (female and male) for each category. Six categories are specified: linguistics, psychology, natural sciences, engineering, programming, and mathematics. Visible data points are as follows: linguistics (female ~180, male ~20), psychology (female ~160, male ~40), natural sciences (female ~130, male ~70), engineering (female ~40, male ~150), programming (female ~50, male ~150), mathematics (female ~60, male ~140). Bars are measured against a scale of 0 to 200 research students.
Given the complexity of the image, the above description may not be entirely accurate.
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The bar chart shows the different subjects studied by research students in 2005. (Linguistics, psychology, natural sciences, engineering, programming and mathematics).
Overall, males dominated the chart in all subjects except linguistics. While natural sciences was the most popular in both genders. For females maths was the least frequent subject while for males was linguistics.
The figure for each subjects (maths, natural science and linguistics) were same 200 male students each with females accounting for 40, 200 and 175 students, respectively.
Programming and engineering represented same number with 150 male students each. In contrast the number of females students were almost two times lower, at 80 and 90, respectively. Additionally linguistics had minimal gender gap. For men 110 students whilst 80 students for women.
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