2 Matching Annotations
  1. May 2021
    1. What’s incredible here is just how comprehensive the study is and how seriously it slices and dices every aspect of selfies. We can find trends in everything from head tilt or pose trends by city to smile frequency by age group and gender.

      The data visualization examples in this article seem to primarily depict quantitative data. This makes me wonder how I can translate my qualitative data into categories that can be measured and depicted visually. For example, when I identify themes or common words and phrases that come up in my observations and notes, I could create a word cloud showing their frequency.