https://github.com/misszeferino/bellabeat-data-analysis

Bellabeat Data Analysis using R
https://github.com/misszeferino/bellabeat-data-analysis

analytics data-analysis ggplot2 lubridate r r-programming tidyverse

Last synced: 4 days ago
JSON representation

Bellabeat Data Analysis using R

• Host: GitHub
• URL: https://github.com/misszeferino/bellabeat-data-analysis
• Owner: misszeferino
• Created: 2021-11-20T07:28:37.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-20T08:29:42.000Z (about 3 years ago)
• Last Synced: 2024-11-15T19:42:20.512Z (2 months ago)
• Topics: analytics, data-analysis, ggplot2, lubridate, r, r-programming, tidyverse
• Homepage:
• Size: 210 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Bellabeat Data Analysis 

## How Can a Wellness Technology Company Play It Smart?

## Introduction

This case study is the final project of the [Google Data Analytics Professional Certificate](https://www.coursera.org/professional-certificates/google-data-analytics?utm_source=gg&utm_medium=sem&utm_campaign=15-GoogleDataAnalytics-ROW&utm_content=15-GoogleDataAnalytics-ROW&campaignid=12566515400&adgroupid=117869292685&device=c&keyword=google%20data%20analytics&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=507290840624&hide_mobile_promo&gclid=EAIaIQobChMIv8-GoO2Q9AIVGoBQBh0LvwV5EAAYASAAEgK-qPD_BwE). In this case study, I will be analyzing a public dataset as if I were a data analyst working on the marketing team at the health and wellness company Bellabeat.

## Objective

Analyze smart device usage data in order to gain insight into how consumers are using their smart devices. Additionally, provide a summary of the analysis with supporting visualizations and recommendations based on our analysis.

## About the Data

The data can be downloaded on [Kaggle](https://www.kaggle.com/arashnic/fitbit). It is a public domain dataset made available through [Mobius](https://www.kaggle.com/arashnic). The data set contains personal fitness tracker data from thirty Fitbit users.

### Libraries Used: