Used
Tools:Rggplot
Project
Type:Data CleaningExploratory Data AnalysisData Visualization
Type
Personal
Detailed ReportsBellabeat - Technical Documentation
Markdown File: Untitled
RMarkdown File: Untitled
Github Repo: Bellabeat-Data-Analysis-Capstone
Insights Report: Bellabeat Data Analysis Project s
This project was created in fulfillment of the requirements for the Google Data Analytics Professional Certificate.
- Description: This project involves analyzing Bellabeat data to gain insights into user behavior and product performance. The objective is to garner insight from public data on use of wearable health-tracking technology that could influence and direct Bellabeat's marketing strategy, specifically for the Time smart watch and, subsequently, the Membership guidance.
- The data used in this project is publicly available data from the FitBit Fitness Tracker dataset on Kaggle linked here.
- For a more technical documentation, refer to this page.
Key Insights and Recommendations
- Steps vs. Calories: There is a positive correlation between the number of steps taken and the number of calories burned. This suggests that users who take more steps tend to burn more calories, which is essential for weight management and overall health. Encouraging users to increase their daily step count could help improve their overall health and well-being.
- Total Steps: The average number of steps taken by users is 7638, Walking 10,000 steps daily is associated with several health benefits, including improved cardiovascular health, weight management, better mood, and enhanced joint health. Regular walking can lower the risk of heart disease, diabetes, and high blood pressure, while also helping to reduce stress and improve overall mental well-being [1][2][3]. This suggests that users are not meeting the recommended daily step count.
- Activity Levels: While some participants meet recommended physical activity levels, many do not. There is a significant variation in physical activity levels among participants, with some being highly active and others largely sedentary. This indicates that there is an opportunity to encourage more users to engage in physical activity.
- Total Minutes Asleep: The average total minutes asleep is 419.8, which is below the recommended 7-9 hours of sleep per night for adults. Sleep is essential for overall health and well-being, with insufficient sleep linked to various health issues, including obesity, heart disease, and mental health problems [4][5].
- Weekday vs. Weekend Sleep: Users tend to sleep longer on weekends compared to weekdays. Sleep time during weekdays are mostly less than the minimum of 7 hours. This suggests that users may be catching up on sleep during the weekend, indicating that they may not be getting enough sleep during the week.
- Hourly Intensity: The average total intensity varies throughout the day, with peaks in the morning and evening. This suggests that users are more active during these times, which could be due to work schedules, exercise routines, or other factors. Understanding these patterns can help Bellabeat tailor their marketing strategies to target users during peak activity times.
- Peak Activity Times: The data shows that users are most active in the morning and evening, which are common times for exercise and physical activity. In the evenings, specifically around 5:00pm to 7:00pm, are times when people usually get off work. This information can be used to target users with marketing messages promoting physical activity during these peak times.
- Hourly Steps: This data shows the same pattern as hourly intensity, with peaks in the morning and evening. Users tend to take more steps during these times, which means we could also suggest to target users with marketing messages promoting physical activity regarding step count during these peak times.
- Steps by Weekday: Users tend to take more steps on weekends compared to weekdays. This suggests that users may be more active on weekends, which could be due to having more free time to engage in physical activities. Bellabeat could leverage this information to encourage users to maintain their activity levels during the week.
- Average Steps: Although a lot of data suggests that 10k steps is the recommended daily step count, a minimum of 7.5k steps is also beneficial for health. The data shows that users are mostly just below the 7.5k steps mark, indicating that they may not be meeting the minimum recommended daily step count. [6][7][8]
### Recommendations
Bellabeat's mission is to empower women's health through technology and data. Based on the data analysis, here are key marketing strategy recommendations:
- Monthly Events: Organize monthly challenges or events to encourage users to increase their daily step count and physical activity levels. Offer rewards or incentives to motivate participation when they use Bellabeat products.
- Target Peak Activity Times: Use notifications to engage users during peak times (morning and evening) to encourage physical activity. Weekends are also a good time to promote wellness activities since users tend to be more active during this time.
- Goal Setting: Encourage users to set daily step goals and track progress to motivate them to stay active.
Specifically For Bellabeat's Time Smart Watch:
- Improve Activity Tracking: Provide real-time feedback and encourage daily activity. Maybe a vibration alert when users are inactive for too long, or a notification when they reach their daily step goal to celebrate their achievement.
- Enhance Sleep Monitoring: Offer insights and recommendations to improve sleep quality. Provide bedtime reminders to help users establish a healthy sleep routine.
- Introduce Stress Management: Provide tools to help manage stress and promote relaxation. Offer guided breathing exercises or mindfulness activities to reduce stress levels.
Specifically For Bellabeat's App:
- Personalized Guidance: Offer tailored advice on wellness, as well as data visualization to help users understand their health and wellness trends.
- Resources and Tips: Provide articles, videos, and resources on physical activity, sleep, nutrition, and mental health to educate and motivate users. Could also become another revenue stream through partnerships with health and wellness brands.
- Community Support: Create a user community for shared experiences and motivation. Encourage users to share their progress, challenges, and successes and provide a platform for peer support.
References
- Mayo Clinic - Walking: Trim your waistline, improve your health
- American Heart Association - Is 10,000 steps really a magic number for health?
- Cleveland Clinic - Do You Really Need 10,000 Steps a Day?
- CDC - How Much Sleep Do I Need?
- National Sleep Foundation - How Much Sleep Do We Really Need?
- JAMA Network - Association of Step Volume and Intensity With All-Cause Mortality in Older Women
- NIH Research Matters - How Many Steps Are Better for Health?
- Harvard Health - 10,000 steps a day — or fewer?
Detailed ReportsBellabeat - Technical Documentation
Markdown File: Untitled
RMarkdown File: Untitled
Github Repo: Bellabeat-Data-Analysis-Capstone