{"id":15893079,"url":"https://github.com/dcostachar/bellabeat-case-study","last_synced_at":"2025-04-02T17:42:06.805Z","repository":{"id":254625183,"uuid":"845168475","full_name":"dcostachar/bellabeat-case-study","owner":"dcostachar","description":"An analysis of Fitbit Fitness Tracker data with R to examine user behaviour and conduct a competitor analysis to optimize Bellabeat's product marketing strategies.","archived":false,"fork":false,"pushed_at":"2024-12-04T21:45:03.000Z","size":71782,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T08:15:15.509Z","etag":null,"topics":["consumer-behaviour-analysis","data-visualization","exploratory-data-analysis","ggplot2","health-data","marketing-analytics","r","statistical-analysis","tidyverse"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dcostachar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-20T18:01:42.000Z","updated_at":"2024-12-13T20:05:15.000Z","dependencies_parsed_at":"2024-12-04T22:38:04.689Z","dependency_job_id":null,"html_url":"https://github.com/dcostachar/bellabeat-case-study","commit_stats":null,"previous_names":["dcostachar/bellabeat-case-study"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dcostachar%2Fbellabeat-case-study","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dcostachar%2Fbellabeat-case-study/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dcostachar%2Fbellabeat-case-study/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dcostachar%2Fbellabeat-case-study/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dcostachar","download_url":"https://codeload.github.com/dcostachar/bellabeat-case-study/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246863648,"owners_count":20846294,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["consumer-behaviour-analysis","data-visualization","exploratory-data-analysis","ggplot2","health-data","marketing-analytics","r","statistical-analysis","tidyverse"],"created_at":"2024-10-06T08:07:16.254Z","updated_at":"2025-04-02T17:42:01.789Z","avatar_url":"https://github.com/dcostachar.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Bellabeat Case Study: How Can A Wellness Technology Company Play It Smart?\nAuthor: Charlene D'Costa \u003cbr /\u003e\nDate: July 4, 2024 \u003cbr /\u003e\nCapstone project for the Google Data Analytics Professional Certificate. \u003cbr /\u003e\n\n[Fitbit Fitness Tracker Datasets](https://www.kaggle.com/datasets/arashnic/fitbit?select=mturkfitbit_export_3.12.16-4.11.16)\n\n# Project Overview \n\n**This case study analyzes Fitbit Fitness Tracker data to develop a data-driven marketing strategy for Bellabeat, a leading manufacturer of health-focused smart devices for women.**\n\nUsing the six-step data analysis process—**Ask, Prepare, Process, Analyze, Share, and Act**—I leveraged **R** and the **tidyverse ecosystem (including `readr`, `dplyr`, and `tidyr`)** to clean, process, and analyze complex datasets. The analysis included competitor research and provided insights into key user behaviours such as activity levels, sleep quality, energy expenditure, and device usage trends.\n\nWith **ggplot2**, I created data visualizations to communicate my findings and proposed actionable recommendations, including **targeted advertising campaigns, in-app engagement strategies,** and **product feature enhancements.** These initiatives aim to increase customer engagement, strengthen Bellabeat's market position, and drive its business growth in the smart device market.\n\n[Click here](https://dcostachar.github.io/bellabeat-case-study/) to view the full project.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcostachar%2Fbellabeat-case-study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdcostachar%2Fbellabeat-case-study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcostachar%2Fbellabeat-case-study/lists"}