The Gender Imbalance In Tech

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The Gender Imbalance in Tech

Background

The above visualization was inspired by a table that I had presented to a company to obtain sponsorship for supporting open source sprints for scikit-learn for the Women in Machine Learning & Data Science meetup chapters in May 2019. I was unsucessful in obtaining that sponsorship, and considered that a visualization may convey the message more poignantly than numbers in a table.

References

  • Infoplease (https://www.infoplease.com/us/births/births-sex-and-sex-ratio), ratio of male / female births, 1983 to 2008.
  • Population Distribution by Gender in the United States(https://www.kff.org/other/state-indicator/distribution-by-gender/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D); Kaiser Family Foundation
    • for year 2017: 49% male, 51% female

Contact

My email is reshama at wimlds dot org.

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