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Articles

“Playing the Whole Game”: A Data Collection and Analysis Exercise With Google Calendar

ORCID Icon & ORCID Icon
Pages S51-S60 | Published online: 24 Aug 2020

Figures & data

Fig. 1 Data science workflow diagram (Wickham and Grolemund 2017).

Fig. 1 Data science workflow diagram (Wickham and Grolemund 2017).

Fig. 2 The 80–20 rule of data wrangling.

Fig. 2 The 80–20 rule of data wrangling.

Fig. 3 “Playing the whole game”: data collection as well as data analysis in data science.

Fig. 3 “Playing the whole game”: data collection as well as data analysis in data science.

Fig. 4 Graphical representation of playing the “playing the whole game” with Google Calendar.

Fig. 4 Graphical representation of playing the “playing the whole game” with Google Calendar.

Fig. 5 Poll: Do you keep a calendar/schedule/planner?

Fig. 5 Poll: Do you keep a calendar/schedule/planner?

Fig. 6 Sample Google Calendar presented to students.

Fig. 6 Sample Google Calendar presented to students.

Fig. 7 Time series plot of calendar data.

Fig. 7 Time series plot of calendar data.

Fig. 8 Distribution of number of hours spent split by activity type.

Fig. 8 Distribution of number of hours spent split by activity type.

Table 1 Example calendar data frame.