https://github.com/ronknight/user-data-dashboard
📈 A data visualization tool for analyzing user data using an Excel-based data source.
https://github.com/ronknight/user-data-dashboard
dashboard data excel ga4 screenshot
Last synced: 8 months ago
JSON representation
📈 A data visualization tool for analyzing user data using an Excel-based data source.
- Host: GitHub
- URL: https://github.com/ronknight/user-data-dashboard
- Owner: ronknight
- License: mit
- Created: 2024-11-05T18:43:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-07T18:46:17.000Z (over 1 year ago)
- Last Synced: 2024-12-27T14:33:55.001Z (over 1 year ago)
- Topics: dashboard, data, excel, ga4, screenshot
- Language: Python
- Homepage: https://www.pinoyitsolution.com
- Size: 98.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
📊 User Data Dashboard
📈 A data visualization tool for analyzing user data using an Excel-based data source.
Project Overview •
Files •
Installation •
Usage •
Data Flow Diagram •
Disclaimer
---
## Project Overview
The **User Data Dashboard** is a Python-based data visualization tool that helps users analyze and visualize user data from an Excel file (`data.xlsx`). The project is ideal for generating insights from user analytics data in Excel format.
### Screenshot
*Sample Data Plot*
## Files
- **app.py** - Main application file for running the data dashboard.
- **data.xlsx** - Sample data file containing user analytics data in Excel format.
- **LICENSE** - License file for the project.
- **README.md** - Documentation for the project.
- **screenshot.png** - Screenshot of the dashboard interface.
- **sample-plot.png** - Example of a data visualization generated by the dashboard.
## Installation
To set up the project locally, follow these steps:
1. **Clone the repository**:
```bash
git clone https://github.com/ronknight/user-data-dashboard.git
cd user-data-dashboard
```
2. **Install dependencies**:
Ensure you have Python installed. Then, install any required packages:
```bash
pip install -r requirements.txt
```
*(If `requirements.txt` is not available, manually install common packages like `pandas`, `openpyxl`, and any others used in `app.py`.)*
3. **Run the application**:
```bash
python app.py
```
## Usage
1. **Prepare the Data**:
- Export your user data to an Excel file (e.g., from Google Analytics).
- Replace `data.xlsx` with your file, ensuring it has the expected structure.
2. **Launch the Dashboard**:
- Run the app with `python app.py` to launch the dashboard.
- Use the interface to explore and visualize data from the Excel file.
3. **Analyzing Data**:
- The application will load data from `data.xlsx` and provide visual insights based on the data structure and columns in the file.
## Data Flow Diagram
This diagram illustrates the data flow within the **User Data Dashboard** application:
```mermaid
graph TD
A[User Loads Excel Data] -->|Data from data.xlsx| B[app.py]
B --> C[Data Processing]
C -->|Processes using pandas| D[Data Visualization]
D -->|Generates Plots| E[Dashboard Display]
E --> F[User Interaction]
```
## ⚠️ Disclaimer
This project involves handling potentially sensitive user data. Ensure that you comply with all relevant data privacy regulations, including GDPR and CCPA, when working with user data. Only authorized personnel should have access to the data file (`data.xlsx`).