Data Visualization Analysis

This data visualization comes from the Economist provides a look into what is considered as sexual harassment in the workplace dependent on age, sex and nationality. Surveyors asked participants if they would "consider it sexual harassment if a man, who was not a romantic partner, did the following to a woman?." The orange line represents female results and blue male. The X-axis shows the age range and the Y-axis shows the percentage of participants that agreed with the statement. 

I think that the graph does a great job representing the data it's been given in regards to the type of graph that they've used. The fact that they are only comparing male to female makes it easy to compare the results on the graph. The type of graph (dual-line) is great to show the how opinions of participants evolves with age. 

The Y-axis represents the percentage that the participants agreed with the aforementioned statements. Surveyors had the scale start at zero and move up to 100 but 25 intervals. I think that this works well, especially since it represented in percentages. The fact that 50% is also in the middle of the graph makes sense and allows readers to gain a better understanding. 

The X-axis represents the age of the participants and is, in my opinion, unclear. The axis starts at 18

which makes sense for this particular survey. However, the start of the axis ranges 18-30 and then the next landmark isn't until the end of the axis which is 64+. This axis is very unclear as it suggests that the starting point of the graph is the average of the ages 18-30 and that the end point is anyone 64 or over (without offering insight on how old the oldest participant was). With this, readers cannot find out what age agrees with the statements but only how the general census either improves or lowers. The axis as a whole is not clear on what age is at one point in the graph.

Another issue with this visualization is that there are just too many graphs in a single area. In total, there are 35 individual graphs that make up this visualization. It's difficult to compare the results of Britain's survey with that of the United States since they are so far away. If the object is to show how age and gender effect views on sexual harassment, it would have been better to do a single, more detailed graph. If the object is to compare nationalities, then there needs to be a better layout to compare data. 

In summary, I feel that this graph does a great job in laying out how to represent the different in gender and age range. However, I feel that it is trying to do too much with comparing results of five different countries with seven different scenarios on top of age and gender. 

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