Challenge

Project 1 - Analyzing the Education trends in Tamilnadu

Title: Women in STEM Fields

Introduction: The gender gap in STEM (Science, Technology, Engineering, and Mathematics) fields has been a persistent issue, limiting the representation and opportunities for women in these fields. This dashboard aims to shed light on the challenges faced by women in STEM and highlight the gaps that exist in various STEM occupations.

  1. Pie graph: Women in Different STEM Fields The pie graph showcases the distribution of women in four specific STEM fields: Biological Scientists, Chemists & Materials Scientists, Computer & Mathematical Occupations, and Engineers & Architects. It provides a visual representation of the relative proportions of women in these fields.

Insight: The pie graph reveals the disparities in gender representation across different STEM disciplines. It is evident that certain fields, such as Biological Scientists and Chemists & Materials Scientists, have higher female representation compared to Computer & Mathematical Occupations and Engineers & Architects. This highlights the need to address the underrepresentation of women in specific STEM domains.

  1. Trend of Percent Women Graduating in Computer Science and Engineering (2000-2015) This line graph illustrates the trend of the percentage of women graduating in Computer Science and Engineering over a fifteen-year period, from 2000 to 2015.

Insight: The trend line graph demonstrates the changes in the percentage of women graduating in Computer Science and Engineering from 2000 to 2015. The data indicates whether there has been an improvement or decline in women's participation in these fields over time.

  1. Percentage of Women Graduating from STEM Majors (Computer Science and Engineering) by 2015 This text object provides the exact percentage of women graduating from STEM majors, specifically in Computer Science and Engineering, by the year 2015.

Insight: By 2015, the data shows that X% of women had graduated from STEM majors, with a specific focus on Computer Science and Engineering. This metric helps gauge the progress made in increasing women's representation in these crucial STEM fields.

  1. Bar Graph: Percentage of Women in STEM Jobs by Education in Different Fields The bar graph presents the percentage of women in STEM jobs categorized by their educational background across various fields.

Insight: The bar graph showcases the proportion of women in STEM jobs based on their education levels within different fields. It highlights the gaps and discrepancies in representation, indicating areas where further attention is required to increase women's participation and opportunities.

  1. Cross Tab: Men and Women Working in Related Fields of Education The cross tab displays a comparison of the number of men and women working in fields related to their educational background.

Insight: The cross tab provides a side-by-side comparison of men and women working in fields directly related to their education. This analysis helps identify any gender disparities and highlights the need for promoting gender equality in career paths aligned with educational qualifications.

  1. Percentage of Women Working in Computers and Engineering Jobs Based on Majors This text object reveals the percentage of women working in computer and engineering jobs who majored in these respective fields.

Insight: The data shows the percentage of women who pursued careers in computer and engineering fields after majoring in these subjects. This information offers insights into the extent to which women's educational choices align with their subsequent career paths.

  1. Comparison Graph: All/Men/Women Salaries by Ethnicity The comparison graph provides a visual representation of the salary differences among different ethnic groups, including all, men, and women, working in STEM occupations.

Insight: The comparison graph highlights the disparities in salaries among different ethnic groups within STEM fields. It emphasizes the need for equitable compensation practices and addresses any gender-based wage gaps that exist.

  1. Difference in Salary between Asian Women and Men This text object specifies the difference in salary between Asian women and men working in STEM occupations.

Insight: The data reveals the difference in salary between Asian women and men in STEM fields. This metric provides insights into the gender-specific wage gap within a specific ethnic group, highlighting the need for fair pay practices regardless of gender or ethnicity.

Possible Issues on Gender Gap in STEM Jobs:

  1. Social and Cultural Factors: Gender stereotypes and societal expectations can influence career choices, leading to fewer women pursuing STEM fields.
  2. Lack of Role Models: The underrepresentation of women in leadership positions and prominent roles within STEM fields can discourage young women from entering these careers.
  3. Bias and Discrimination: Gender bias and discrimination can create a hostile work environment, limiting women's career progression and opportunities for growth.
  4. Educational Barriers: Biases and disparities in educational settings, such as limited access to resources and unconscious biases in teaching and evaluation, can impact women's interest and performance in STEM subjects.
  5. Work-Life Balance Challenges: The demanding nature of STEM careers, including long working hours and limited flexibility, can create challenges for women balancing family responsibilities and career aspirations.
  6. Lack of Support and Networking Opportunities: Limited access to mentorship, networking, and support systems can hinder women's career advancement and professional development in STEM fields.

By addressing these issues and implementing strategies to promote diversity and inclusion, society can foster an environment that empowers and encourages women to pursue and thrive in STEM fields.

*ALL NUMERICAL MEANINGFUL INSIGHTS ARE SHOWN IN THE DASHBOARD USING VISUALISATION BY GRAPHS AND I WRITE ALSO ALL NUMERICAL VALUABLE INSIGHT BASIS ON THE GIVEN DATA

https://public.tableau.com/views/PROJECT1womeninstemfield/Dashboard1?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link

Your portfolio, next

Ship work like this
in your own course.

Talk to a career counsellor

Free 20-minute call. We'll map the right course to where you want to work.

By submitting you agree to our Terms and Privacy Policy.