{"id":22298083,"url":"https://github.com/rupashi03/fitbit-user-eda-case-study","last_synced_at":"2025-03-25T22:45:08.890Z","repository":{"id":262084351,"uuid":"885921854","full_name":"rupashi03/Fitbit-User-EDA-Case-Study","owner":"rupashi03","description":"Performed Exploratory Data Analysis (EDA) on Fitbit users' data to uncover trends in activity and health metrics.","archived":false,"fork":false,"pushed_at":"2024-11-10T12:02:36.000Z","size":605,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-25T22:45:04.985Z","etag":null,"topics":["business-analysis","case-study","consumer-insights","data-analysis","exploratory-data-analysis","health-data","r","user-behavior-analytics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/rupashi03.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":"2024-11-09T18:38:43.000Z","updated_at":"2024-11-10T13:49:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"ecc36ed3-aa50-4c2b-8a34-af293d69c909","html_url":"https://github.com/rupashi03/Fitbit-User-EDA-Case-Study","commit_stats":null,"previous_names":["rupashi03/fitbit-user-eda-case-study"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rupashi03%2FFitbit-User-EDA-Case-Study","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rupashi03%2FFitbit-User-EDA-Case-Study/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rupashi03%2FFitbit-User-EDA-Case-Study/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rupashi03%2FFitbit-User-EDA-Case-Study/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rupashi03","download_url":"https://codeload.github.com/rupashi03/Fitbit-User-EDA-Case-Study/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245556958,"owners_count":20634889,"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":["business-analysis","case-study","consumer-insights","data-analysis","exploratory-data-analysis","health-data","r","user-behavior-analytics"],"created_at":"2024-12-03T17:59:37.421Z","updated_at":"2025-03-25T22:45:08.885Z","avatar_url":"https://github.com/rupashi03.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch2\u003e Bellabeat Capstone Project| R \u003c/h2\u003e\n  \u003ch3\u003e 1. Company Background \u003c/h3\u003e\n  \u003cp\u003e  Bellabeats is a high-tech company founded by Urška Sršen and Sando Mur in 2013.\n    It manufactures health-focused smart products that collects data on activity, sleep, stress and reproductive health and helps women around the world grow healthy habits. \n    By 2016, Bellabeat has expanded their products globally, through online retailers and selling them on their own e-commerce website.\n    \u003cbr\u003e\n  \u003cbr\u003e Bellabeat has launched 5 products:\n    \n \u003cp\u003e \u003cli\u003e\u003cb\u003eBellabeat app\u003c/b\u003e: The Bellabeat app provides users with health data related to their activity, sleep, stress, menstrual cycle, and mindfulness habits.\n    This data can help users better understand their current habits and make healthy decisions. The Bellabeat app connects to their line of smart wellness products.\u003c/li\u003e\u003c/p\u003e\n \u003cp\u003e \u003cli\u003e\u003cb\u003eLeaf\u003c/b\u003e: Bellabeat’s classic wellness tracker can be worn as a bracelet, necklace, or clip. The Leaf tracker connects to the Bellabeat app to track activity, sleep, and stress.\u003c/li\u003e\u003c/p\u003e\n  \u003cp\u003e\u003cli\u003e\u003cb\u003eTime\u003c/b\u003e: This wellness watch combines the timeless look of a classic timepiece with smart technology to track user activity, sleep, and stress.\n    The Time watch connects to the Bellabeat app to provide you with insights into your daily wellness.\u003c/li\u003e\u003c/p\u003e\n  \u003cp\u003e\u003cli\u003e\u003cb\u003eSpring\u003c/b\u003e: This is a water bottle that tracks daily water intake using smart technology to ensure that you are appropriately hydrated throughout the day. \n    The Spring bottle connects to the Bellabeat app to track your hydration levels.\u003c/li\u003e\u003c/p\u003e\n \u003cp\u003e \u003cli\u003e\u003cb\u003eBellabeat Membership\u003c/b\u003e: Bellabeat also offers a subscription-based membership program for users.\n    Membership gives users 24/7 access to fully personalized guidance on nutrition, activity, sleep, health and beauty, and mindfulness based on their lifestyle and goals.\u003c/li\u003e\u003c/p\u003e\n    \n  \u003c/p\u003e\n  \u003ch3\u003e 2. Ask \u003c/h3\u003e\n  \u003cp\u003e \u003cb\u003e2.1. Business Task\u003c/b\u003e\n  \u003cbr\u003e\n  As an analyst working in the marketing analyst team I will use the smart device usage data in order to gain insights into how customers use non-Bellabeat smart devices. I will then use these insights to recommend some market strategies which will be presented to the key stakeholders.\n  In this case study, I will focus on the \u003cb\u003eBellabeat App\u003c/b\u003e for recommendations.\n  \u003cbr\u003e\n   \u003cbr\u003e \u003cb\u003e2.2. Key Stakeholders\u003c/b\u003e\n    \u003cbr\u003e\n      \u003cli\u003eUrška Sršen: cofounder and Chief Creative Officer.\u003c/li\u003e\n      \u003cli\u003eSando Mur: cofounder and a key member of the Bellabeat executive team.\u003c/li\u003e\n      \u003cli\u003eBellabeat marketing analytics team.\u003c/li\u003e\n  \n  \u003c/p\u003e\n  \u003cp\u003e Steps \u003cb\u003e3-5[Prepare, Process and Analyse]\u003c/b\u003e elaborated in details, in the notebook\u003c/p\u003e\n  \n  \u003ch3\u003e6. Act \u003c/h3\u003e\n  \u003cp\u003e\n    Key findings: \u003cbr\u003e \n      \u003cli\u003eOn an average, users take 7,638 steps each day. This average is lower than the 10,000 steps recommended by CDC.\u003c/li\u003e\n      \u003cli\u003eOn average, each user spends 16.5 hours per day being seated or inactive, which accounts to almost 70% of the day.\u003c/li\u003e\n      \u003cli\u003eOn an average, people sleep 6.98 hours per day.\u003c/li\u003e\n      \u003cli\u003eUsers tend to start their day later on weekends, that is around 9am - 10am in the morning. They are most active on Wednesdays between 4pm - 6pm, and around 11am - 1pm on Saturdays.\u003c/li\u003e\n      \u003cli\u003eThe \u003ci\u003elightly active\u003c/i\u003e type has the longest sleep, while the very active type has lowest duration of sleep.\u003c/li\u003e\n   \n  \u003c/p\u003e\n  \u003cp\u003e\n    \u003ch2\u003eBased on the findings, below are few suggestions:\u003c/h2\u003e\n    \u003col\u003e\n      \u003cli\u003eThe App could recommend daily steps target based on user's profile, lifestyle and personal information available in the app.\n        It can also send daily reminders and alerts to their users, if they start to fall behind their daily target.\u003c/li\u003e\n       \u003cli\u003eThe Bellabeat App can provide a playlist of songs for meditation, to encourage their users to meditate to elevate their users' mental health and wellness. \n         They can also send weekly health tips on their device.\u003c/li\u003e\n    \u003c/ol\u003e\n  \u003c/p\u003e\n  \u003ca href = \"https://www.kaggle.com/code/rupashijaiswal/bellabeat-capstone-project\"\u003eClick here to view full case study\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frupashi03%2Ffitbit-user-eda-case-study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frupashi03%2Ffitbit-user-eda-case-study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frupashi03%2Ffitbit-user-eda-case-study/lists"}