{"id":23045410,"url":"https://github.com/varshan1123/sql-tableau-project","last_synced_at":"2026-04-29T17:34:23.991Z","repository":{"id":217674471,"uuid":"744502156","full_name":"Varshan1123/SQL-Tableau-Project","owner":"Varshan1123","description":"We analyze key indicators for our pizza sales data to gain insights into our business performance - A Data Analysis Project performed on Tableau \u0026 SQL.","archived":false,"fork":false,"pushed_at":"2024-01-17T13:53:00.000Z","size":1855,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-03T01:45:22.696Z","etag":null,"topics":["analysis","data-analysis","data-science","data-visualization","excel","mysql","powerbi","sql","sql-server","tableau","tableau-dashboards"],"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/Varshan1123.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":"2024-01-17T12:37:29.000Z","updated_at":"2024-01-17T13:47:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"9e2a5723-da58-42b3-8938-61c294d46630","html_url":"https://github.com/Varshan1123/SQL-Tableau-Project","commit_stats":null,"previous_names":["varshan1123/sql-tableau-project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Varshan1123/SQL-Tableau-Project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Varshan1123%2FSQL-Tableau-Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Varshan1123%2FSQL-Tableau-Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Varshan1123%2FSQL-Tableau-Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Varshan1123%2FSQL-Tableau-Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Varshan1123","download_url":"https://codeload.github.com/Varshan1123/SQL-Tableau-Project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Varshan1123%2FSQL-Tableau-Project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32436951,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T17:26:39.753Z","status":"ssl_error","status_checked_at":"2026-04-29T17:25:53.857Z","response_time":110,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["analysis","data-analysis","data-science","data-visualization","excel","mysql","powerbi","sql","sql-server","tableau","tableau-dashboards"],"created_at":"2024-12-15T21:20:18.867Z","updated_at":"2026-04-29T17:34:23.974Z","avatar_url":"https://github.com/Varshan1123.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sales Insights - Data Analysis using Tableau \u0026 SQL\nWe analyze key indicators for our pizza sales data to gain insights into our business performance - A Data Analysis Project performed on Tableau \u0026 SQL.\n\n## Technologies used ⚙️:\n- MySQL \n- SQL Server \n- Tableau \n- Power BI\n- MS Excel\n- Statistics\n\n## Problem Statements \u0026 Approach:\n\n- Total Revenue: The sum of the total price of all pizza orders.\n- Average Order Value: The average amount spent per order, calculated by dividing the total revenue by the total number of orders.\n- Total Pizzas Sold: The sum of the quantities of all pizzas sold.\n- Total Orders: The total number of orders placed.\n- Average Pizzas Per Order: The average number of pizzas sold per order, calculated by dividing the total number of pizzas sold by the total number of orders.\n\n  **We would like to visualize various aspects of our pizza sales data to gain insights and understand key trends**\n- Hourly Trend for Total Pizzas Sold:\n    Create a stacked bar chart that displays the hourly trend of total orders over a specific time period. This chart will help us identify any patterns or fluctuations in \n    order volumes on a hourly basis.\n- Weekly Trend for Total Orders:\n    Create a line chart that illustrates the weekly trend of total orders throughout the year. This chart will allow us to identify peak weeks or periods of high order \n    activity.\n- Percentage of Sales by Pizza Category:\n    Create a pie chart that shows the distribution of sales across different pizza categories. This chart will provide insights into the popularity of various pizza \n    categories and their contribution to overall sales.\n- Percentage of Sales by Pizza Size:\n    Generate a pie chart that represents the percentage of sales attributed to different pizza sizes. This chart will help us understand customer preferences for pizza sizes \n    and their impact on sales.\n- Total Pizzas Sold by Pizza Category:\n    Create a funnel chart that presents the total number of pizzas sold for each pizza category. This chart will allow us to compare the sales performance of different pizza \n    categories.\n- Top 5 Best Sellers by Revenue, Total Quantity and Total Orders\n    Create a bar chart highlighting the top 5 best-selling pizzas based on the Revenue, Total Quantity, Total Orders. This chart will help us identify the most popular pizza \n    options.\n- Bottom 5 Best Sellers by Revenue, Total Quantity and Total Orders\n    Create a bar chart showcasing the bottom 5 worst-selling pizzas based on the Revenue, Total Quantity, Total Orders. This chart will enable us to identify underperforming \n    or less popular pizza options.\n\n\n## Tableau Dashboard :\n\n- An dashboard providing quick \u0026 latest sales insights in order to support data driven decision making.\n- Dynamic Dashboard.\n- Dashboards uncovering sales order insights with latest data available.\n- Sales team able to take better decision \u0026 cost savings of total spend.\n  \n\u003cimg width=\"507\" alt=\"image\" src=\"https://github.com/Varshan1123/SQL-Tableau-Project/assets/136326209/a747cca1-e4ea-4e3f-94b5-8549c7d41f46\"\u003e\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvarshan1123%2Fsql-tableau-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvarshan1123%2Fsql-tableau-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvarshan1123%2Fsql-tableau-project/lists"}