Google Data Analytics Second Project

  My aim was to identify trends in the use of smart devices, then use the insights to make recommendations on marketing Spring, a product of Bellabeat for traking water intake and hydration.  

  My aim was to identify trends in the use of smart devices, then use the insights to make recommendations on marketing Spring, a product of Bellabeat for traking water intake and hydration.  

  The images above summarize the visualizations created in R:

• The records by day show weekdays as most popular days for record entries.

• The frequency comparison graph shows that the daily activity is the most popular, while weight logs are least popular, and least frequently entered.

• The manual entries chart shows that most weight log entries were done manually.  

All this combined suggests that smart devices usage depends heavily on integration into daily life.  Spring has advantage of its packaging which makes it easily usable on weekdays and weekends when women are most likely socializing.  

Access the slideshow below.  

•  6-step analysis process: Ask, Prepare, Process, Analyze, Share, Act

• SQL (BigQuery)

• R (RStudio Cloud) 

• Google Slides

• RMarkdown

• GitHub

• Google Sites