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Doo is a beautiful way to get things done without stressing yourself out.
There’s just enough guilt involved in hitting snooze that I often just complete the task. That’s the point.
I absolutely love this app... *incredibly* satisfying...
Always question how data was collected. Is the sample truly representative?
Mean (average), Median (middle point), and Mode (most frequent). fundamentals of statistical thinking: tools and applications
If you're looking to dive deeper into this topic, I can help you by: Always question how data was collected
Championed by John Tukey, EDA uses graphical methods (e.g., Q-Q plots, residual plots) and robust statistics to uncover patterns before formal modeling. Median (middle point)
Showing you how to apply these concepts to your What part of statistical thinking should we tackle next?
Gestures transform your entire screen into a button. Select your tasks for the day and enjoy flicking them off your todo list. Without even having to look.
Doo uses a set of custom keyboards to keep controls within reach. Create one-off tasks or future appointments with ease. No interruption. No fuss.
Send grocery lists, chores, and other tasks to others with iMessage. Edits made by one person get sent to everyone so you can keep track of progress. Don’t forget the milk!
Manage reminder notifications at the task level. Turn off notifications for date-based tasks, enable time zones, and repeat tasks from their completion date.
Manage tasks from the Apple Watch app or review from your watch face. Two complication options highlight what’s upcoming or your last due item.
No accounts. No trackers, no ads, and no personal data collection. Ever. Your data stays on your device and within your private iCloud account. Simple — the way it should be.
Always question how data was collected. Is the sample truly representative?
Mean (average), Median (middle point), and Mode (most frequent).
If you're looking to dive deeper into this topic, I can help you by:
Championed by John Tukey, EDA uses graphical methods (e.g., Q-Q plots, residual plots) and robust statistics to uncover patterns before formal modeling.
Showing you how to apply these concepts to your What part of statistical thinking should we tackle next?
