Data Visualization Process reflection 1
Data Collection
The data I collected was based on 6 days of objects. As someone who surrounds herself with coffee addicts the choice was clear: 6 days of coffee. For 6 days I kept track of the Coffee I encountered and some variables associated with it, such as: type of coffee, location, reason for getting it, time, what was added to eat, and what was eaten with it. Once I had collected my data I realized there weren’t strong enough controls because I was keeping track of everybody from friends to siblings to parents. The second week I retook my data to provide a sample of what a random average might look like for the college coffee drinkers at WUSTL. This way
44
55
6
7
Focus
Wake up
Conversational
Routine
10
11
Day
Thurs
Fri
Sat
Sun
Mon
Focus
Wake up
Tues
Wed
Time 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00
Coffeeshop
Home
Conversational
Routine
6 DAYS OF COLLEGE
CAFFEINATION
6 DAYS OF COLLEGE
CAFFEINATION
Saturday
Morning
Saturday Afternoon
Morning
Friday
Friday Afternoon
Sunday
Morning
Sunday Afternoon
Morning
Thursday
Thursday Afternoon
Monday
Morning
Monday Afternoon
Home Coffee Shop Campus
Tuesday
12
Home Wakeup
Morning
Wakeup Art Sci
Focus
Sam Fox
Social
Tuesday Afternoon
Art Sci Sam Fox
Focus
Coffee Shop
Social
Campus
13
Wakeup
Home
6 DAYS OF COLLEGE
Coffee Shop
Focus
Campus
CAFFEINATION
Social Thursday
Friday
Saturday
Sunday
Monday
Tuesday
16
17
6 Days of College Location
This data visualization represents an average coffee consumption by two undergrad students at Washington university in st. Louis. The data takes place over a 6 day period; in which each cup correlates to 1 cup of coffee. Additionally, roughly 60% of coffee was consumed in the morning.
because...
Campus
Focus
Home
Social
shop
Wake-up