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Personal Fitness Tracker Usage Insights
Patient Health Records & Digital Health
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About
Personal fitness tracker data from thirty Fitbit users provides insights into daily activity, steps, heart rate, and sleep habits. Collected between 12 March 2016 and 12 May 2016, this information was gathered through a distributed survey via Amazon Mechanical Turk. The data, which includes minute-level output, can be used to explore and understand how consumers use their smart devices, offering valuable insights for marketing strategies and product development, particularly for tech-driven wellness companies focused on health-focused smart products.
Columns
- dailyActivity_merged.csv
- dailyCalories_merged.csv
- dailyIntensities_merged.csv
- dailySteps_merged.csv
- heartrate_seconds_merged.csv
- hourlyCalories_merged.csv
- hourlyIntensities_merged.csv
- hourlySteps_merged.csv
- minuteCaloriesNarrow_merged.csv
- minuteCaloriesWide_merged.csv
- minuteIntensitiesNarrow_merged.csv
- minuteIntensitiesWide_merged.csv
- minuteMETsNarrow_merged.csv
- minuteSleep_merged.csv
- minuteStepsNarrow_merged.csv
- minuteStepsWide_merged.csv
- sleepDay_merged.csv
- weightLogInfo_merged.csv
Distribution
The data is distributed across 18 separate CSV files. The dataset was generated by thirty eligible Fitbit users and variation between outputs may be due to different types of Fitbit trackers used and individual tracking preferences.
Usage
This data is ideal for analysing smart device usage to understand consumer habits. It can be used to gain insights into physical activity, sleep monitoring, and heart rate trends. These trends can then inform high-level recommendations for marketing strategies, particularly in the digital marketing space, including campaigns on platforms like Google Search, Facebook, Instagram, Twitter, and YouTube.
Coverage
The dataset covers a time range from 12 March 2016 to 12 May 2016. It includes data from thirty consenting Fitbit users who participated in a survey via Amazon Mechanical Turk. The demographic scope is limited to these thirty individuals.
License
CC0: Public Domain
Who Can Use It
- Marketing Analytics Teams: To analyse consumer data and identify opportunities for growth and inform marketing strategy.
- Data Analysts: To explore user habits related to activity, sleep, and fitness.
- Wellness Companies: To understand how people use smart devices and develop products that inform and inspire users about their health.
Dataset Name Suggestions
- Fitbit User Activity and Sleep Data 2016
- Personal Fitness Tracker Usage Insights
- Smart Device Health Data Analysis
- Daily Fitness Habits of Fitbit Users
Attributes
Original Data Source:Personal Fitness Tracker Usage Insights
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