This is Part II of a two-part post. Part I outlines the process of presenting the data using Tableau and Part II delves into insights from the analysis.
- The main challenge behind any analysis is typically determining/ framing/ justifying the business problem (i.e. show that the problem is actually a problem and that something should be done). Once the objectives are clear, selecting the necessary data is easy and the next thing to think about then is how to display the data in a neat and simple-to-understand manner. Falling back onto the project description, it's explicit that Pollicy has a general sense on the gaps surrounding the current system in elevating women leaders. Hence I decided to dive straight into focusing on how the data provided could be used to highlight these gaps, with the corresponding necessary actions done up in a straight-to-the-face approach.
Pollicy is looking to celebrate the achievement that women have accomplished in the past and highlight the potential opportunities that we can do to support more women in leadership positions, and particularly, women leaders focused on women's issues. There is currently little data to show a) the need b) the challenges c) the general overview of issues around promoting women in political positions. Potential opportunities and areas that we can do to improve
Low Literacy levels.
Intimidation within various communities.
Limited financial resources that can be used throughout the campaign process.
There is an absence of a focus on gender equality in leadership.
- What I found interesting was that Uganda has a relatively higher proportion of women as members of Parliament relative to the World, and OECD countries (assuming that the country has a similar men:women ratio as the other countries for a fair basis of comparison). This could perhaps make them suitable to be in a position to lead the movement in promoting women in political positions. Nonetheless, this is an issue to be addressed across the world if what we want to achieve is an even representation of men:women in political positions.
- As always, what makes data analysis/ data visualization interesting is that one set of problem can have many solutions. Click here to see how others have positioned their case. It is helpful to see that the trend between female literacy rate and share of female representation in congress, as depicted in one of the visualizations. Also, we can see that Rwanda has the highest percentage of females in parliament at 61%.
Alternatively, the interactive Tableau dashboard can be viewed here.