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https://github.com/tunjis/global-superstore_dashboard_tableau

Tableau dashboard with 4 different types of visualisations
https://github.com/tunjis/global-superstore_dashboard_tableau

charts dashboard data-analysis data-visualisation excel tableau

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Tableau dashboard with 4 different types of visualisations

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# 📊 Global Superstore Interactive Dashboard Tableau **Tableau**

Tableau [Global Superstore Dashboard](https://public.tableau.com/app/profile/tunjis/viz/20250311GlobalSuperstoreDashboard/GlobalSuperstoreDashboard) | [Data Source](https://justit831-my.sharepoint.com/:x:/g/personal/justincracium_bootcamp_justit_co_uk/EYurcEVzHfNKuJMekvc9dUoBXt0RLloYd8P0sEndcW8iPA?e=7PJRBV) |
Microsoft Word Icon [Task Brief](https://justit831-my.sharepoint.com/:w:/g/personal/justincracium_bootcamp_justit_co_uk/ESUi6rZy0_dHkbV_O2zgxPcBMIC3w24U8nx3-efskB4jFA?e=2794eb)

**Objective:** To analyse the Global Superstore dataset and develop an interactive dashboard showcasing key business metrics, demonstrating proficiency in data connection, visualisation creation, and dashboard design within Tableau.

**Key Activities & Skills Demonstrated:**

* **Data Connection & Preparation:** Connected to the `global_superstore_2016` dataset; Verified and adjusted **`Data Types`** as needed.
* **Core Visualisations:**
* **`Bar Chart`**: Created 'Sales by Region', **`Sorted`** regions by total sales (descending), and implemented a **`Filter`** for `Year`. ([View Bar Chart](https://public.tableau.com/views/20250311GlobalSuperstoreDashboard/SalesbyRegion?:language=en-GB&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link))
* **`Scatter Plot`**: Developed 'Profit Margin by Category', plotting `Profit` vs. `Sales`, using **`Colour Encoding`** to distinguish `Product Category`. ([View Scatter Plot](https://public.tableau.com/views/20250311GlobalSuperstoreDashboard/ProfitMarginbyCategory?:language=en-GB&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link))
* **`Line Chart`**: Built 'Shipping Cost Analysis', showing `Average Shipping Cost` over `Time` (Order Date), with **`Filters`** for `Ship Mode`. ([View Line Chart](https://public.tableau.com/views/20250311GlobalSuperstoreDashboard/ShippingCostAnalysis?:language=en-GB&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link))
* **`Pie Chart`**: Designed 'Order Priority Breakdown', displaying the distribution using a **`Table Calculation`** (`Percentage of Total`), with **`Filters`** for `Segment` and `Region`. ([View Pie Chart](https://public.tableau.com/views/20250311GlobalSuperstoreDashboard/OrderPriorityBreakdown?:language=en-GB&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link))
* **Calculated Fields & Analytics:** Implicitly used aggregate functions (e.g., **`SUM`**, **`AVG`**) for visualisations; Applied **`Table Calculations`** (`Percent of Total`).
* **Dashboard Design & Interactivity:** Combined the four worksheets into a single **`Dashboard`**; Configured **`Filter Actions`** to link filters across visuals, ensuring a cohesive and user-friendly experience.
* **Formatting & Presentation:** Applied consistent **`Formatting`**, clear titles, and legends for a visually appealing and interpretable dashboard.

---

### Summary of Key Tableau Skills Demonstrated:

* **Data Handling:** Connecting to data sources, Data Type management.
* **Visualisation:** Creating various chart types (`Bar`, `Scatter`, `Line`, `Pie`), Sorting, Colour Encoding.
* **Analytics:** Aggregate functions, Table Calculations (`Percent of Total`).
* **Interactivity:** `Filters`, `Filter Actions`.
* **Dashboarding:** Combining worksheets, Layout design, Formatting.

## 📊 Example Output













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

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

Microsoft Azure **Microsoft Azure**  
Google Cloud **Google Cloud**  
Google Colab **Google Colab**   

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