{"id":28222998,"url":"https://github.com/tunjis/data-analysis-visualisation_excel","last_synced_at":"2025-06-10T22:33:21.955Z","repository":{"id":288293257,"uuid":"967542510","full_name":"tunjis/Data-Analysis-Visualisation_Excel","owner":"tunjis","description":"Excel","archived":false,"fork":false,"pushed_at":"2025-04-25T01:31:19.000Z","size":3867,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-18T07:15:25.820Z","etag":null,"topics":["data-analysis","data-analysis-excel","data-visualisation","excel","excel-functions","filtering","formatting","pivot-tables","sorting"],"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/tunjis.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,"zenodo":null}},"created_at":"2025-04-16T16:02:56.000Z","updated_at":"2025-04-25T01:31:23.000Z","dependencies_parsed_at":"2025-04-16T23:50:31.490Z","dependency_job_id":"5a6adf71-d93d-4e85-9122-7a01f84d1c6c","html_url":"https://github.com/tunjis/Data-Analysis-Visualisation_Excel","commit_stats":null,"previous_names":["tunjis/excel","tunjis/data-analysis-visualisation-in-excel","tunjis/data-analysis-visualisation-excel-showcase","tunjis/data-analysis-visualisation_excel"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tunjis%2FData-Analysis-Visualisation_Excel","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tunjis%2FData-Analysis-Visualisation_Excel/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tunjis%2FData-Analysis-Visualisation_Excel/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tunjis%2FData-Analysis-Visualisation_Excel/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tunjis","download_url":"https://codeload.github.com/tunjis/Data-Analysis-Visualisation_Excel/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tunjis%2FData-Analysis-Visualisation_Excel/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259163876,"owners_count":22815235,"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":["data-analysis","data-analysis-excel","data-visualisation","excel","excel-functions","filtering","formatting","pivot-tables","sorting"],"created_at":"2025-05-18T07:14:34.634Z","updated_at":"2025-06-10T22:33:21.946Z","avatar_url":"https://github.com/tunjis.png","language":"Jupyter Notebook","funding_links":["https://www.buymeacoffee.com/jstunjisu"],"categories":[],"sub_categories":[],"readme":"# 📈 Data Analysis \u0026 Visualisation Portfolio \u003ca href=\"https://www.microsoft.com/en-us/microsoft-365/excel\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://img.icons8.com/color/24/000000/microsoft-excel-2019--v1.png\" width=\"36\" height=\"36\" alt=\"Microsoft Excel\"/\u003e **Microsoft Excel** \u003c/a\u003e\u0026nbsp;  \n\n*This README provides an overview of the Excel-based data analysis projects contained within this repository.*\n\n## Project 1: Retail Sales Analysis \u0026 Function Application\n\n\u003cimg src=\"https://img.icons8.com/color/24/000000/microsoft-excel-2019--v1.png\"/\u003e [retail_sales_dataset.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/EW2mJFN6GN5HsUmKJ7xwof8B9vUReVYqlEq2GSOQzoHAkg?e=fupuA3)\n\n**Objective:** Analysed retail sales data to uncover patterns and demonstrate core Excel data handling, formula application, and summarisation skills.\n\n**Key Activities \u0026 Skills Demonstrated:**\n\n* **Data Structuring \u0026 Initial Cleaning:** Organised raw data into **`Excel Tables`**; Applied **`Filters`** and **`Sorting`** (e.g., sorting customers by Age).\n* **Core Calculations \u0026 Logic:** Calculated metrics using **`SUM`** and **`AVERAGE`** (e.g., commissions); Used **`SWITCH`** with **`AND`** logic for categorisation (e.g., sales volume tiers).\n* **Data Retrieval \u0026 Joining (Deeper Dive):** *(User mentioned - include if applicable)* Leveraged **`VLOOKUP`** / **`XLOOKUP`** to integrate data; Used **`CONCATENATE`** (or `\u0026`) for combining text fields.\n* **Summarisation with Pivot Tables:** Created **`Pivot Tables`** to aggregate sales data across dimensions (Product Category, Customer Generation, Gender).\n\n---\n\n## Project 2: Student Performance Analysis\n\n\u003cimg src=\"https://img.icons8.com/color/24/000000/microsoft-excel-2019--v1.png\"/\u003e [students.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/EWGRHqxEdA5HltvKQrbbM7gB6mpESBX70W56DRFfG_Oi-g?e=hrdftL)\n\n**Objective:** Analysed student scores to identify top performers and demonstrate targeted formula application and conditional formatting.\n\n**Key Activities \u0026 Skills Demonstrated:**\n\n* **Performance Calculation:** Used **`AVERAGE`** to calculate overall student scores.\n* **Identifying Top Scores:** Applied the **`MAX`** function to find the highest scores overall.\n* **Advanced Filtering/Formula:** Used **`Filters`** \u0026 **`Sorting`** and advanced formulas (like **`FILTER`**, **`TEXTJOIN`** as shown in workbook examples) to identify top students per subject.\n* **Visual Highlighting:** Employed **`Conditional Formatting`** to visually distinguish highest and lowest average scores.\n\n---\n\n## Project 3: Tech Shop Data Analysis\n\n\u003cimg src=\"https://img.icons8.com/color/24/000000/microsoft-excel-2019--v1.png\"/\u003e [tech_shop.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/EQj4X42Ep6NKoZdm-975RN8BhzZ0UW2SKUl47FckdTbrsg?e=ONfsbi)\n\n**Objective:** Analysed tech shop sales data for various English counties, summarising performance and categorising sales volume using logical functions.\n\n**Key Activities \u0026 Skills Demonstrated:**\n\n* Created **`Pivot Tables`** to summarise sales volume by County and Product.\n* Applied the **`SWITCH`** function, incorporating **`AND`** logic, to accurately categorise sales volume into \"High\", \"Medium\", and \"Low\" tiers based on specified thresholds.\n\n---\n\n## Project 4: Bike Sales Performance \u0026 Visualisation\n\n\u003cimg src=\"https://img.icons8.com/color/24/000000/microsoft-excel-2019--v1.png\"/\u003e [bike_sales.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/Ea9shnOX2U9PjWQRBPGOXAEBVYqYAD8unbfY-DwmdoUdig)\n\n**Objective:** Analysed detailed bike sales data to understand profitability drivers and market performance, then visualised key findings effectively.\n\n**Key Activities \u0026 Skills Demonstrated:**\n\n* **Advanced Pivot Table Analysis:** Built **`Pivot Tables`** for multi-dimensional analysis (Profit/Sales by Age Group, Gender, Country); Cleaned data within analysis (**`TRIM`**, **`PROPER`**); Used functions (**`COUNTA`**, **`IF`**, **`MAX`**) with `Pivot Table` results for deeper insights; Applied **`Conditional Formatting`** to highlight key `Pivot Table` results.\n* **Data Visualisation for Impact:** Created and formatted **`Line Charts`** (Revenue vs. Profit trends), **`Stacked Column Charts`** (Product Revenue by Country), and **`Pie Charts`** (Revenue by Age Group); Applied best-practice **`Chart Formatting`** (titles, labels, legends, number formats).\n\n---\n\n### Summary of Key Excel Skills Demonstrated:\n\n\n* **Data Prep \u0026 Handling:** `Tables`, `Filtering`, `Sorting`, Cleaning Functions (`TRIM`, `PROPER`).\n* **Formulas \u0026 Logic:** `SUM`, `AVERAGE`, `MAX`, `IF`, `SWITCH`, `AND`, `COUNTA`, `VLOOKUP`/`XLOOKUP`, `CONCATENATE`, `FILTER`, `TEXTJOIN`).\n* **Analysis Engine:** `Pivot Tables` for multi-dimensional summaries and insights.\n* **Visualisation:** Creating and refining `Line Charts`, `Column Charts`, and `Pie Charts` for clear communication.\n* **Presentation:** `Conditional Formatting`, logical workbook structure.\n\n\n## 📊 Example Output\n\u003cimg src=\"https://img.icons8.com/color/24/000000/microsoft-word-2019--v1.png\" alt=\"Microsoft Word Icon\"/\u003e [Excel_Workbook](https://justit831-my.sharepoint.com/:w:/g/personal/justincracium_bootcamp_justit_co_uk/Ed6f6o9TGJ5IsoIPmMorG70BjF_g5-veUx7M6mRLxhTWRA?e=6Lu76l)  \n\n\n### 🧑‍💻 Created by [tunjis](https://github.com/tunjis) \n\n-------------\n\n* 🌍  Based in \u003ca href=\"https://maps.app.goo.gl/hMxhRX5ptQAAkL7NA/\" target=\"_blank\"\u003e**London**\u003c/a\u003e\n* 🖥️  See my portfolio at [Data’s the new oil. I’m the refinery.](https://github.com/tunjis?tab=repositories)\n* 📫  Contact me via my [LinkedIn profile](https://linkedin.com/in/justincraciun/)\n* 🧠  Learning Data Science\n* 🤝  Open to collaborating on interesting projects\n* ⚡  AI enthusiast\n\n-------------\n\n### 🛠️ Technical Skills\n\u003ca href=\"https://www.python.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://cdn.jsdelivr.net/gh/devicons/devicon/icons/python/python-original.svg\" width=\"36\" height=\"36\" alt=\"Python\"/\u003e **Python** \u003c/a\u003e\u0026nbsp;\n\u003ca href=\"https://www.microsoft.com/en-us/microsoft-365/excel\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://img.icons8.com/color/24/000000/microsoft-excel-2019--v1.png\" width=\"36\" height=\"36\" alt=\"Microsoft Excel\"/\u003e **Microsoft Excel** \u003c/a\u003e\u0026nbsp;\n\u003ca href=\"https://www.mysql.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://cdn.jsdelivr.net/gh/devicons/devicon/icons/mysql/mysql-original.svg\" width=\"36\" height=\"36\" alt=\"MySQL\"/\u003e **MySQL** \u003c/a\u003e\u0026nbsp;\n\u003ca href=\"https://www.tableau.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://img.icons8.com/color/24/000000/tableau-software.png\" width=\"36\" height=\"36\" alt=\"Tableau\"/\u003e **Tableau** \u003c/a\u003e\u0026nbsp;\n\u003ca href=\"https://powerbi.microsoft.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://img.icons8.com/color/24/000000/power-bi.png\" width=\"36\" height=\"36\" alt=\"Power BI\"/\u003e **Power BI** \u003c/a\u003e\u0026nbsp;  \n\n\u003ca href=\"https://azure.microsoft.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://cdn.jsdelivr.net/gh/devicons/devicon/icons/azure/azure-original.svg\" width=\"36\" height=\"36\" alt=\"Microsoft Azure\"/\u003e **Microsoft Azure** \u003c/a\u003e\u0026nbsp;\n\u003ca href=\"https://cloud.google.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://cdn.jsdelivr.net/gh/devicons/devicon/icons/googlecloud/googlecloud-original.svg\" width=\"36\" height=\"36\" alt=\"Google Cloud\"/\u003e **Google Cloud** \u003c/a\u003e\u0026nbsp;\n\u003ca href=\"https://colab.research.google.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://img.icons8.com/color/48/000000/google-colab.png\" width=\"36\" height=\"36\" alt=\"Google Colab\"/\u003e **Google Colab** \u003c/a\u003e\u0026nbsp;\u0026nbsp;  \n\n-------------\n\n### 🔁 Socials\n\n\u003ca href=\"https://www.github.com/tunjis/\" target=\"_blank\" rel=\"noreferrer\"\u003e\n  \u003cpicture\u003e\n    \u003csource media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/danielcranney/readme-generator/main/public/icons/socials/github-dark.svg\" /\u003e\n    \u003csource media=\"(prefers-color-scheme: light)\" srcset=\"https://raw.githubusercontent.com/danielcranney/readme-generator/main/public/icons/socials/github.svg\" /\u003e\n    \u003cimg alt=\"GitHub Profile\" src=\"https://raw.githubusercontent.com/danielcranney/readme-generator/main/public/icons/socials/github.svg\" width=\"32\" height=\"32\" /\u003e\n  \u003c/picture\u003e\n\u003c/a\u003e\u0026nbsp;\n\u003ca href=\"https://linkedin.com/in/justincraciun/\" target=\"_blank\" rel=\"noreferrer\"\u003e\n  \u003cpicture\u003e\n    \u003csource media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/danielcranney/readme-generator/main/public/icons/socials/linkedin-dark.svg\" /\u003e\n    \u003csource media=\"(prefers-color-scheme: light)\" srcset=\"https://raw.githubusercontent.com/danielcranney/readme-generator/main/public/icons/socials/linkedin.svg\" /\u003e\n    \u003cimg alt=\"LinkedIn Profile\" src=\"https://raw.githubusercontent.com/danielcranney/readme-generator/main/public/icons/socials/linkedin.svg\" width=\"32\" height=\"32\" /\u003e\n  \u003c/picture\u003e\n\u003c/a\u003e\u0026nbsp;\u0026nbsp;  \n\n-------------\n\n### ☕ Support Me\n\n\u003ca href=\"https://www.buymeacoffee.com/jstunjisu\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg src=\"https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png\" width=\"150\" alt=\"Buy Me A Coffee\"/\u003e\u003c/a\u003e\u0026nbsp;\u0026nbsp;\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftunjis%2Fdata-analysis-visualisation_excel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftunjis%2Fdata-analysis-visualisation_excel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftunjis%2Fdata-analysis-visualisation_excel/lists"}