Big data is one of the most promising trends in technology and business today. Big data refers to large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially relating to human behavior and interactions. Big data sets hold valuable information with the potential to improve efficiency in the workplace by giving us insight into various areas. How can we extract information from data? Visualizations and aggregations are frequently used to represent data in a manageable way. The construction of these tools requires usage of design principles to leverage human ability to translate data into knowledge that can be used to support decisions. Our project creates and executes a survey to discover whether participants vary in their ability to draw conclusions from data presented in aggregate formats. In this paper, we are focused on whether one visualization is more interpretable than the others. We do not go into the details of variation between people on any factor (e.g. education, personality, or other characteristics). Based on our results, we will suggest design principles for visualizations that improve the ability to comprehend data quickly.