Data visualizations are a major aspect in simplifying complex data to a broad population of people with different cultures, and languages. As shown by the New York Times bar graph of the speaking times of political candidates and the amount of attacks that each political candidate received in comparison to their speaking times. Taking a look at the bar graph, it is very clear what it is trying to convey. The graph not only labels the time in increments with labels, but also states the total amount of time that each candidate ended up speaking for. Though the graph for comparison is separate from the bar graph of the total time, the clarity of the information being presented leaves very little room in regards to which graph is what, and what it is they are trying to convey. What was interesting about this comparison is that the person that was the most attacked was surprisingly not the person that spoke the most, but rather someone that they didn’t even speak at all. Furthermore, there are also a plethora of other data visualizations that compare numbers that could have also been used to portray the data besides the a bar graph. Two such examples would be doughnut chart or a pie chart. Both would not only accurately represent the data, but also offer a visual representation of the percentages that each candidate spoke in comparison to the total time given. With that being said, Data visualizations for comparison of numbers can be applicable for a number of different topics, aside from political topics, and portrayed in many different kinds of graphs.