https://github.com/arfazrll/data-analyst-dashboard
Data Analyst Dashboard is an interactive tool designed to help data analysts explore, analyze, and visualize datasets with ease. Using Dash and Plotly.
https://github.com/arfazrll/data-analyst-dashboard
csv-files dashboards data-analysis-python python streamlit
Last synced: about 1 month ago
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Data Analyst Dashboard is an interactive tool designed to help data analysts explore, analyze, and visualize datasets with ease. Using Dash and Plotly.
- Host: GitHub
- URL: https://github.com/arfazrll/data-analyst-dashboard
- Owner: Arfazrll
- License: mit
- Created: 2024-08-14T17:10:25.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-07T03:51:44.000Z (over 1 year ago)
- Last Synced: 2024-12-30T04:28:33.190Z (over 1 year ago)
- Topics: csv-files, dashboards, data-analysis-python, python, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 56.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 📊 Data Analyst Dashboard
**Data Analyst Dashboard** is an interactive tool built to help data analysts explore, analyze, and visualize datasets. Using **Dash** and **Plotly**, this project provides an intuitive interface for dynamic data exploration, focusing on e-commerce data analysis.
---
## ✨ Key Features
- **🔍 Interactive Data Exploration**
Filter and visualize data dynamically using various chart types (e.g., bar charts, line charts, pie charts).
- **⚙️ Data Filtering & Manipulation**
Easily manipulate and filter datasets to focus on specific insights, with functionality for handling missing data and performing transformations.
- **📊 Customizable Dashboards**
Build custom dashboards by selecting relevant metrics and visualizing them in real-time.
- **💼 E-Commerce Analysis**
Analyze e-commerce sales data based on product categories and visualize sales trends.
---
## 📊 How It Works
### **1. Data Preparation & Analysis (Jupyter Notebook)**
The project starts with data preprocessing in a Jupyter Notebook, where we:
- Load datasets, inspect the data, and perform initial exploration.
- Clean the data by removing duplicates and handling missing values.
- Generate summary statistics and visualize trends in the data using **Plotly**.
### **2. Interactive Dashboard (Python with Dash)**
The dashboard allows users to interact with the data:
- **E-commerce Data**: Users can select product categories from a dropdown menu to filter the dataset.
- **Visualizations**: The selected category is used to display a **bar chart** showing sales per product in that category.
### **3. Real-time Interactivity**
- **🎯 Dropdown Menu**: Allows users to select a category and filter data.
- **📈 Real-time Graphs**: Displays dynamic visualizations based on user selection.
---
## 🛠️ Technologies Used
- **🐍 Python**: Core programming language.
- **⚙️ Streamlit**: Framework for building interactive web applications.
- **📊 Plotly**: Library for creating interactive charts.
- **🔢 Pandas**: Used for data manipulation and cleaning.
---
## 🚀 How to Use
### 1. Clone the Repository
```bash
git clone https://github.com/Arfazrll/Data-Analyst-Dashboard.git
cd Data-Analyst-Dashboard
```
### 2. Install Dependencies
If a `requirements.txt` file is provided:
```bash
pip install -r requirements.txt
```
### 3. Run the Dashboard
```bash
streamlit run Dashboard/EcomersDashboard.py.py
```
### 4. Explore
Open your browser and navigate to `http://127.0.0.1:8050` to access the interactive dashboard.
---
## 📌 Example Datasets
The dashboard uses example e-commerce datasets, including product categories and sales data, to provide insights on sales performance and trends.
---
## 📝 Conclusion
This project is designed to be flexible and easy to extend. Whether you're working with e-commerce data or other datasets, it offers a powerful and interactive solution for data analysis and visualization. It's a great tool for data analysts looking to gain insights from their data in a dynamic and visual way.
---
### 🤝 Contributing
Feel free to open an issue or submit a pull request if you have suggestions or improvements for this project!
---