HIMS 650 UMDC Data Visualization Via FitBits Discussion

User Generated

ZvenAX

Health Medical

HIMS 650

United Medical and Dental College

HIMS

Description

Hi, Discussion Topic # 1: Data Visualization Via FitBits

Personal fitness trackers including FitBit, Apple Watch and others alike utilize data visualization to present activity-monitoring information. The data may include the number of steps taken, the percent of goal achieved, count of flights of stairs, distance traveled, calories burned, and/or hours slept. Additionally, users can track their progress over time by viewing their performance from day to day or week to week. In a minimum of 250 words, address the following:

1. How can graphical perception be utilized in the design of the dashboards for fitness tracking devices?  

2. Do you think the dashboards for fitness tracking devices are an integral aspect of fitness tracking? How do you think they motivate individuals to remain active?

Your discussion post should have a minimum of 2–3 peer-reviewed references. 

Discussion Topic #2: Inferential Versus Descriptive Statistics

Explain how inferential statistics differs from descriptive statistics; identify common inferential statistical methods and discuss why inferential statistical methods are a significant component of data analytics work. Cite two specific examples of how inferential statistics are used.

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Explanation & Answer

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Data Visualization Via Fit Bits

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Discussion Topic #1
Q.1
Health care has been transformed by fitness trackers and other activity monitors,
particularly in the domains of preventative care. For the delivery of health behavior
interventions, mobile and wearable technologies offer a viable platform. Mobile health apps for
fitness tracking can engage and motivate users in their fitness levels - health care. The more data
available, the better the product performs. Anything that is conveyed visually is usually more
appealing. Because of graphical perception, this is the case. “Graphical perception “is
characterized as "the visual unraveling of quantitative and subjective data contained on
diagrams" (Cleveland et al., 1985). The idea behind graphical insight is that what we decipher
visual diagrams might mean for their value. An expanding line chart of calories burnt daily, for
example, indicates that as pa...


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