Visualizing Insights

I found representing data in a visual form is actually a lot more difficult than it sounds. In order to tell a story, I had to think about the most important facts, how to display them appropriately, and where to put them. I could have easily made pie charts for every bit of data given in the data from Mintel, however, that would've been repetitive and boring. Therefore, I decided to create a sort of guide to give quick and easy to understand facts about common food truck mistakes.

In the first panel, I decided to give an introduction to what the infographic was about. This was meant to capture the attention of readers and hook them.

I focused on people that have and have not visited in the second panel. The pie graph displays the percentage of consumers that have and have not visited a food truck overall. I then further broke down that pie chart as to what locational reasons consumers did or did not visit the food truck. On the left, I listed the top reasons customers did not visit a food truck. On the right, I illustrated why consumers visited. I used smiley faces (each approximately representing 5%) to visually show which reasons were most important to customers.

In the third panel, I used circles that are related by the size of the percentage to display to what affect cleanliness can deter or bring in customers. This really shows how important it is for food trucks to not only be within government regulations but to also display certifications.

In the fourth panel, I wanted to show what operational efficiencies were most important to customers. I did this by creating a bar graph with a food truck bar that is proportional to the percentage. This easily illustrates that menu variety is most important for food trucks, followed by speed.

The next time I visualize data, I will definitely want to expand on the topics with more research and data. I also would like to see examples of other creative ideas on how to represent data.