Time use is always an important topic in our daily life. I want to explore the pattern of how people spend their time. Does age, gender, work, location, and/or family affect time use?
This project aims to visualize American time use in one day.
The data is from American Time Use Survey (ATUS) - 2015 Microdata Files.
"The American Time Use Survey (ATUS) measures the amount of time people spend doing various activities, such as paid work, childcare, volunteering, and socializing."
I chose ATUS 2015 Activity file and ATUS 2015 Activity summary file as my data.Data processing
The data contains lots of information, so I have to select the part of data I need. By looking at the documentations (2015 Basic ATUS Data Dictionaries and 2015 Survey Documentation, explanations of every variables in the Excel sheet) on the website, I finally chose the data I need and wrote codes to organize the data in a form that works for me.Processed data
After processing, I got over 10,000 (10,905 exactly) people's time use data.
In human geography, we use space-time path to show a person's daily activates with both spatial and temporal dimension (See picture below).
For my project, I decide to visualize the data base on this concept.
The initial visualization of space-time path is shown as below. The top view has a nice shape as every vertex represents an activity and different activities connect together. But because of the huge amount of data, it's really hard to see the pattern. So I did many adjustments to make the data clearer.Front view
Every activity has a random position on an arc(PI/36) from top view. Each arc(different colors) represents an activity, and there are 18 arcs on a circle in total. The more frequent one activity happens, the more complete the arc is (see overview - top view). The thicker the line linking two arcs, the more frequent these two activities happens in sequence.Front View
The 18 colorful bundle of vertical lines represent 18 activities. The denser the lines are, the more frequent this activity happens. The length of every vertical line represents the duration of corresponding activity.Interaction
There are a lot to be explored. The following are some basic conclusions and inferences based on the visualized result.
For young people (15-24), both males and females spend lots of time on personal care (such as sleeping) and socializing, relaxing and leisure. And part of the time on education. But males spend more time on eating and drinking while females spend more time on telephone calls.
For working cohort (25-49), males don't have many activities (mainly personal care, work and socializing). However, females spend time on household activities, consumer purchases, caring for people, telephone calls. And different from young people, female in working class spend more time on eating and drinking than males.
For old people (50+), the daily activities are the most enriched. Both males and females spend more time on household activities, caring for family members, consumer purchases and religious and spiritual activities. And the time spending on personal care (like sleeping) is less compared to younger people. Females spend more time on religious and spiritual activities and telephone calls compared to males.
Some activities such as personal care, socializing, relaxing and leisure and eating and drinking could happen from day to night, while some activities such as work and work related activities and consumer purchases mostly happen during the day.
Females in all age tend to spend more telephone calls than males. :-)
The data reveals definitely more than the above. Waiting to be found.