{"id":24449247,"url":"https://github.com/NishuMehta/Coffee-Beans-Sales-Analysis","last_synced_at":"2025-10-22T17:31:10.226Z","repository":{"id":272123058,"uuid":"915595674","full_name":"NishuMehta/Coffee-Sales-Analysis","owner":"NishuMehta","description":null,"archived":false,"fork":false,"pushed_at":"2025-01-18T08:51:41.000Z","size":1288,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-26T22:27:54.301Z","etag":null,"topics":["dashboard","data-analysis","data-visualization","excel"],"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/NishuMehta.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":"2025-01-12T09:37:42.000Z","updated_at":"2025-01-19T16:32:38.000Z","dependencies_parsed_at":"2025-01-18T09:32:31.421Z","dependency_job_id":"9ba7266c-d06b-4314-be32-98187750b652","html_url":"https://github.com/NishuMehta/Coffee-Sales-Analysis","commit_stats":null,"previous_names":["nishumehta/coffee-sales","nishumehta/coffee-sales-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NishuMehta%2FCoffee-Sales-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NishuMehta%2FCoffee-Sales-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NishuMehta%2FCoffee-Sales-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NishuMehta%2FCoffee-Sales-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NishuMehta","download_url":"https://codeload.github.com/NishuMehta/Coffee-Sales-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":237723945,"owners_count":19356237,"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":["dashboard","data-analysis","data-visualization","excel"],"created_at":"2025-01-21T00:52:08.718Z","updated_at":"2025-10-22T17:31:10.222Z","avatar_url":"https://github.com/NishuMehta.png","language":null,"readme":"☕ **Coffee Beans Sales Analysis - Excel Dashboard**\n\nThis project provides an in-depth analysis of coffee bean sales using an interactive **Excel dashboard**, which highlights trends and customer insights. It was created following a tutorial by **Mo Chen (YouTube)** and uses the **[Coffee Bean Sales Dataset](https://www.kaggle.com/datasets/saadharoon27/coffee-bean-sales-raw-dataset)** from Kaggle.\n\n🗝️ Key Features\n* **Sales Trend Analysis:** Displays total sales trends from **August 2019 to June 2020**, broken down by coffee bean types (Arabica, Robusta, Liberica, Excelsa).\n* **Sales by Country:** Highlights revenue contributions from key regions: **United Kingdom, Ireland, and the United States**.\n* **Customer Insights:** Identifies top 5 customers by sales amount.\n* **Product Breakdown:** Analyzes coffee sizes (0.2 kg to 2.5 kg) and roast types (Light, Medium, Dark).\n* **Loyalty Program Impact:** Displays sales comparison between loyalty card holders and non-holders.\n\n🛠️ Tools and Excel Features Used\n* **Pivot Tables:** Created dynamic summaries for sales trends, customer insights, and product preferences.\n*  **Slicers:** Interactive slicers for filtering data by coffee type, roast type, region, and loyalty card status.\n*   **Pivot Charts:** Used line charts for sales trends and bar charts for customer and country-wise sales.\n* **Conditional Formatting:** Highlighted top sales figures and customer performance.\n* **Excel Formulas:** Applied SUMIFS and AVERAGEIFS for sales calculations.\n\n💡 Insights Gained\n* **Sales Peak:** Highest sales occurred between **December 2019 and January 2020**.\n* **Top Customers:** Highest spender was **Allis Wilmore**, with sales exceeding $238.\n* **Region Performance:** The **United States** generated the highest revenue.\n* **Product Preference:** **Robusta and Arabica** were the most popular coffee types.\n* **Loyalty Impact:** Loyalty cardholders contributed more to sales.\n\n💻 Usage Instructions\n* **Open the Dashboard:** Use the provided `Coffee-Sales.xlsx` file.\n* **Explore with Slicers:** Filter sales data by coffee type, region, customer, and roast type.\n* **View Key Insights:** Analyze interactive charts for trends and top-performing customers.\n\n📝 About the Project\n* **Tool:** Microsoft Excel  \n* **Dataset:** [Coffee Bean Sales Dataset](https://www.kaggle.com/datasets/saadharoon27/coffee-bean-sales-raw-dataset) from Kaggle  \n**Tutorial Reference:** Dashboard guided by Mo Chen (YouTube)  \n**Skills Practiced:** Data Analysis, Visualization, Dashboard Creation  \n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNishuMehta%2FCoffee-Beans-Sales-Analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FNishuMehta%2FCoffee-Beans-Sales-Analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNishuMehta%2FCoffee-Beans-Sales-Analysis/lists"}