https://github.com/tunjis/data-analysis-visualisation_excel

Excel
https://github.com/tunjis/data-analysis-visualisation_excel

data-analysis data-analysis-excel data-visualisation excel excel-functions filtering formatting pivot-tables sorting

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Excel

Host: GitHub
URL: https://github.com/tunjis/data-analysis-visualisation_excel
Owner: tunjis
Created: 2025-04-16T16:02:56.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2025-04-25T01:31:19.000Z (about 1 year ago)
Last Synced: 2025-05-18T07:15:25.820Z (about 1 year ago)
Topics: data-analysis, data-analysis-excel, data-visualisation, excel, excel-functions, filtering, formatting, pivot-tables, sorting
Language: Jupyter Notebook
Homepage:
Size: 3.69 MB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# 📈 Data Analysis & Visualisation Portfolio **Microsoft Excel**

*This README provides an overview of the Excel-based data analysis projects contained within this repository.*

## Project 1: Retail Sales Analysis & Function Application

[retail_sales_dataset.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/EW2mJFN6GN5HsUmKJ7xwof8B9vUReVYqlEq2GSOQzoHAkg?e=fupuA3)

**Objective:** Analysed retail sales data to uncover patterns and demonstrate core Excel data handling, formula application, and summarisation skills.

**Key Activities & Skills Demonstrated:**

* **Data Structuring & Initial Cleaning:** Organised raw data into **`Excel Tables`**; Applied **`Filters`** and **`Sorting`** (e.g., sorting customers by Age).
* **Core Calculations & Logic:** Calculated metrics using **`SUM`** and **`AVERAGE`** (e.g., commissions); Used **`SWITCH`** with **`AND`** logic for categorisation (e.g., sales volume tiers).
* **Data Retrieval & Joining (Deeper Dive):** *(User mentioned - include if applicable)* Leveraged **`VLOOKUP`** / **`XLOOKUP`** to integrate data; Used **`CONCATENATE`** (or `&`) for combining text fields.
* **Summarisation with Pivot Tables:** Created **`Pivot Tables`** to aggregate sales data across dimensions (Product Category, Customer Generation, Gender).

---

## Project 2: Student Performance Analysis

[students.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/EWGRHqxEdA5HltvKQrbbM7gB6mpESBX70W56DRFfG_Oi-g?e=hrdftL)

**Objective:** Analysed student scores to identify top performers and demonstrate targeted formula application and conditional formatting.

**Key Activities & Skills Demonstrated:**

* **Performance Calculation:** Used **`AVERAGE`** to calculate overall student scores.
* **Identifying Top Scores:** Applied the **`MAX`** function to find the highest scores overall.
* **Advanced Filtering/Formula:** Used **`Filters`** & **`Sorting`** and advanced formulas (like **`FILTER`**, **`TEXTJOIN`** as shown in workbook examples) to identify top students per subject.
* **Visual Highlighting:** Employed **`Conditional Formatting`** to visually distinguish highest and lowest average scores.

---

## Project 3: Tech Shop Data Analysis

[tech_shop.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/EQj4X42Ep6NKoZdm-975RN8BhzZ0UW2SKUl47FckdTbrsg?e=ONfsbi)

**Objective:** Analysed tech shop sales data for various English counties, summarising performance and categorising sales volume using logical functions.

**Key Activities & Skills Demonstrated:**

* Created **`Pivot Tables`** to summarise sales volume by County and Product.
* Applied the **`SWITCH`** function, incorporating **`AND`** logic, to accurately categorise sales volume into "High", "Medium", and "Low" tiers based on specified thresholds.

---

## Project 4: Bike Sales Performance & Visualisation

[bike_sales.xlsx](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/Ea9shnOX2U9PjWQRBPGOXAEBVYqYAD8unbfY-DwmdoUdig)

**Objective:** Analysed detailed bike sales data to understand profitability drivers and market performance, then visualised key findings effectively.

**Key Activities & Skills Demonstrated:**

* **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.
* **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).

---

### Summary of Key Excel Skills Demonstrated:

* **Data Prep & Handling:** `Tables`, `Filtering`, `Sorting`, Cleaning Functions (`TRIM`, `PROPER`).
* **Formulas & Logic:** `SUM`, `AVERAGE`, `MAX`, `IF`, `SWITCH`, `AND`, `COUNTA`, `VLOOKUP`/`XLOOKUP`, `CONCATENATE`, `FILTER`, `TEXTJOIN`).
* **Analysis Engine:** `Pivot Tables` for multi-dimensional summaries and insights.
* **Visualisation:** Creating and refining `Line Charts`, `Column Charts`, and `Pie Charts` for clear communication.
* **Presentation:** `Conditional Formatting`, logical workbook structure.

## 📊 Example Output
Microsoft Word Icon [Excel_Workbook](https://justit831-my.sharepoint.com/:w:/g/personal/justincracium_bootcamp_justit_co_uk/Ed6f6o9TGJ5IsoIPmMorG70BjF_g5-veUx7M6mRLxhTWRA?e=6Lu76l)

### 🧑‍💻 Created by [tunjis](https://github.com/tunjis)

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* 🌍 Based in **London**
* 🖥️ See my portfolio at [Data’s the new oil. I’m the refinery.](https://github.com/tunjis?tab=repositories)
* 📫 Contact me via my [LinkedIn profile](https://linkedin.com/in/justincraciun/)
* 🧠 Learning Data Science
* 🤝 Open to collaborating on interesting projects
* ⚡ AI enthusiast

-------------

### 🛠️ Technical Skills
**Python**
**Microsoft Excel**
**MySQL**
**Tableau**
**Power BI**