Exercise Instructions: Read the short report section written below Take note of any data that you think is especially important/interesting Create at least two data visualizations from the information in the report Revise the textual report by embedding your data visualizations into the layout Upload a one-page document that includes some of the text/data below and your own visuals EXITING TECH & RELATED FIELDS Over time, over half of highly qualified women working in science, engineering and technology companies quit their jobs (Hewlett et al., 2008). In 2013, just 26 percent of computing jobs in the U.S. were held by women, down from 35 percent in 1990, according to a study by the American Association of University Women. Although 80 percent of U.S. women working in STEM fields say they love their work, 32 percent also say they feel stalled and are likely to quit within a year. Research by The Center for Work-Life Policy shows that 41 percent of qualified scientists, engineers and technologists are women at the lower rungs of corporate ladders but more than half quit their jobs. This loss appears attributable to the following: 1) inhospitable work cultures; 2) isolation; 3) conflict between women's preferred work rhythms and the "firefighting" work style generally rewarded; 4) long hours and travel schedules conflict with women's heavy household management workload; and 5) women's lack of advancement in the professions and corporate ladders. If corporate initiatives to stem the brain drain reduced attrition by just 25 percent, there would be 220,000 additional highly qualified female STEM workers (Hewlett et al., 2008). Williams (2015) posits that it is bias that pushes women out of STEM jobs, rather than pipeline issues or personal choice accounting for their absence. Based on a survey and in-depth interviews of female scientists[13]