Weekly 7

Link to the two visualizations you’ve selected and include some written analysis, using images to support your argument if needed. As you analyze, consider: How are color, typography, motion, and interactivity used to convey meaning? What is the author or creator’s point of view? Why might they have chosen to create a data visualization over another form? Where does the data come from, and what makes you believe the source is or isn’t reliable?

Visualization One: Voting Rights

• color: used to indicate different different continents
• type: v clean, definitely wouldn't be out of place on NGO websites
• motion: when page is first loaded, there's a lil animation w/ the scroll effect, which is also indicated using text. I do think the text is easier to understand when I've already been shown the animation.
• point of view: the whole site is about the inequities women across the world face, and I think the pointed "In Saudi Arabia, women gained the right to vote in 2015" definitely sends a message that women's voting rights are still a serious issue we should be concerned about.
• why dataviz? A viewer can easily see which continents granted voting rights early on + which ones lagged behind—quite effectively conveying that many women couldn't vote well into the 1960s.
• data is from UN and World Values Survey, both reputable orgs w/ a lot of info online about them.

Visualization Two: Few Women in Exec Posions

• color: the heavier the gradient on the x-axis categories, the fewer women there are. it personally took me more than 5 seconds to figure this out, and it's a nice detail but doesn't add a lot to the story, since the line plot points make it incredibly clear that there are more, higher-educated, women than men in the workforce and then a drop in women execs vs male execs.
• motion: when page is first loaded, there's a subtle animation where the dots start in the middle "equal participation" line, then move above or below it.
• point of view: again, the whole site is about the inequities women across the world face, and this visualizes the well-known fact that there are way fewer women in exec roles than men.
• why dataviz? I do think it's useful to show the hard data + understand the specific % gap between women in exec roles vs men, but I do wish that this visualization allowed comparison of multiple countries all on the same graph. It's actually really cool to see that Panama, Lithuania, and Slovenia have a higher proportion of women in exec roles than Scandinavian countries like Sweden and Denmark, but that's not super evident unless you take some time to explore the data.
• data is from UNESCO, also a reputable source.