Portfolio-AvniShah

OUTLINE

WHY THIS TOPIC?

This topic is intended to create awareness about the dire situation of women in leadership positions, while highlighting the few successful ones. It is meant to bring light on the gender disparity and the challenges faced by women. Through this subject I hope to motivate individuals and firms to proactively contribute to inclusion of women at all levels.

WHO IS THE AUDIENCE FOR THIS PROJECT?

WHAT WILL THE PROJECT INCLUDE?

1) Gender Bias: This will be highlighted using figures that indicate the gender bias is responsible for the lack of women leadership. It will include a line graph/ funnel to show the attrition in women participation at higher ranks in the organization.

2) Lack of Proper training: This section will include statistics on the difference in formal training offered to men and women and how that indirectly affects the ability of women to hold positions of power. This data will be presented using a column/ bar graph

3) Wage Gap: The stark difference in wages at various organizational levels and its consequences on women employee retention will be discussed in this section. The data on wage gap with be incorporated using a connected dot plot.

SKETCHES

This section includes my rough story telling outline as well as the placements of the various segments on my project. It is not representation of the final work there will be edits to the size. shape, color and formatting to make it as appealing as possible using digital tools.

Story Outline:

Final Project part 1

Project Sketches:

Final Project part 2

Final Project part 3

final project part 4

Final Project part 5

final project part 6

Final Project part 7

DATA

I intend to use different data sources for all my seven visualizations. Data selected has been drawn from sources including the Zoominfo, US labor statistics, research done by University of Rutgers etc. (The data sources for the visualizations are included below). A lot of the data included required the data sets to be created from images or written matter as oppose to direct data sets to ensure recent and relevant data was included. The data sets were created from the available data and complied into a single dataset in excel including all the necessary data. The data collected will serve 2 major segments of the project the present state ( including the data sets on the current gender ratios in medicine, politics, corporations and arts. The second major contribution is to the causes section since the data on the wage gaps, gender bias and lack of training will be used to highlight this section.

Data Sources:

1)Ros, A. V., Markham, S., Wu, D., & Nicholas, P. (n.d.). A rapid scoping review of gender inequities in the medical profession: Semantic scholar. undefined. Retrieved February 14, 2022, from https://www.semanticscholar.org/paper/A-Rapid-Scoping-Review-of-Gender-Inequities-in-the-Ros-Markham/8a09d48b97943a3a571aa14da41310cbde2d3dcc#extracted https://user-images.githubusercontent.com/98298048/153798263-3148b9c2-30f5-46bf-a8da-8d956a426aa2.png

2) Women in management (quick take). Catalyst. (2020, August 11). Retrieved February 14, 2022, from https://www.catalyst.org/research/women-in-management/ https://user-images.githubusercontent.com/98298048/153798348-c65e2e6b-8b72-4fd8-9750-fb52a3b497fd.png

3)Lauzen , D. M. (2016, January 28). Still too few women behind the scenes in Hollywood. Women’s Media Center. Retrieved February 14, 2022, from https://womensmediacenter.com/news-features/still-too-few-women-behind-the-scenes-in-hollywood

4)Find women elected officials. Home CAWP Data. (n.d.). Retrieved February 14, 2022, from https://cawpdata.rutgers.edu/

5)Smedley, M. (2021, June 9). Gender bias in leadership starts at Day One. DDI. Retrieved February 14, 2022, from https://www.ddiworld.com/blog/gender-bias-in-leadership

6)Wallask, S. (n.d.). Leadership promotions for women still lag in 2020: ZoomInfo. Pipeline Blog. Retrieved February 14, 2022, from https://pipeline.zoominfo.com/recruiting/women-promotion-gap https://user-images.githubusercontent.com/98298048/153798475-52034679-764c-4d32-99ff-6b04a649c913.png

7)Explore census data. (n.d.). Retrieved February 14, 2022, from https://data.census.gov/cedsci/table?q=S2413&tid=ACSST1Y2019.S2413&hidePreview=true https://user-images.githubusercontent.com/98298048/153798497-3ada1214-2a85-4c4e-9c36-884ceb89f56a.png

Complete Data File- Final Project.xlsx

MEDIUM

I will be using the shorthand platform to create my story and publish my data visualizations. I selected this platform as it is a relatively easy to master and visually attractive option. I will also be using flourish, data wrapper and canva as appropriate to best visualize my data. The data wrapper will specifically be used to incorporate a timeline for major events for women in leadership roles (An alternative to the examples option I have included in the sketches). Canva will primarily be used to ensure the Call to Action is impactful and easy to follow. The other visualizations based on the data will be created using flourish since its a familiar platform with a variety of graph options that would best capture and present the data.

LINKS