Bellabeat Casestudy
Bellabeat Casestudy
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This project is about the Bellabeat company. Bellabeat offers cutting-edge smart products focusing on women's health, with the Bellabeat application providing holistic data on activity, sleep, stress, menstrual cycle, and mindfulness habits, empowering users to make informed decisions for their well-being.
The Chart above shows the user distribution of Bellabeat products, the total worn per day, the correlation between daily steps and minutes asleep, and daily steps and calories burn.
I use R for analysis due to the accessibility, amount of data and to be able to create data visualization to share my results with stakeholders.
To Install packages and opening libraries, I pick the bundles that will help me on my examination and open them. For our analysis, I make use of the following packages: tidyverse, here, skimr, janitor, lubridate, ggpubr, ggrepel.
Please read more: click.
As a member of the team, I took on the role of data analyst, collaborating closely with what the software engineers, designers, and product managers have done to analyze fitness data from Bellabeat's smart devices. Together, we aimed to unlock new insights for the Bellabeat application. The outcome of the project was a comprehensive understanding of users' health patterns, facilitating the development of features to enhance their well-being experience.
As a member of the team, I took on the role of data analyst, collaborating closely with what the software engineers, designers, and product managers have done to analyze fitness data from Bellabeat's smart devices. Together, we aimed to unlock new insights for the Bellabeat application. The outcome of the project was a comprehensive understanding of users' health patterns, facilitating the development of features to enhance their well-being experience.
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