https://github.com/tolumie/dashboards_visualisations
A repo of data visualization projects and interactive dashboards using Matplotlib, Seaborn, Plotly, Dash, and Folium. It covers multiple domains, including COVID-19 analytics, wildfire trends, automobile sales, immigration patterns, and Olympic statistics. Explore geospatial analysis, business intelligence, and storytelling through data with Python
https://github.com/tolumie/dashboards_visualisations
business-intelligence dash dashboard-development data-storytelling data-visualization exploratory-data-analysis folium-maps geospatial-analysis interactive-dashboards matplotlib plotly-dash python-visualization seaborn
Last synced: 8 months ago
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A repo of data visualization projects and interactive dashboards using Matplotlib, Seaborn, Plotly, Dash, and Folium. It covers multiple domains, including COVID-19 analytics, wildfire trends, automobile sales, immigration patterns, and Olympic statistics. Explore geospatial analysis, business intelligence, and storytelling through data with Python
- Host: GitHub
- URL: https://github.com/tolumie/dashboards_visualisations
- Owner: Tolumie
- Created: 2025-03-06T14:26:09.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-06T14:31:47.000Z (about 1 year ago)
- Last Synced: 2025-03-06T15:33:15.459Z (about 1 year ago)
- Topics: business-intelligence, dash, dashboard-development, data-storytelling, data-visualization, exploratory-data-analysis, folium-maps, geospatial-analysis, interactive-dashboards, matplotlib, plotly-dash, python-visualization, seaborn
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 **Dashboards & Data Visualization**
This repository contains various **data visualization projects** and **interactive dashboards** built using **Tableau, **Matplotlib, Seaborn, Plotly, Dash, and Folium**. The visualizations span multiple domains, including **COVID-19 analytics, wildfire trends, automobile sales, immigration data, and Olympic statistics**.
---
## 📌 **Overview**
This repository focuses on **exploratory data analysis (EDA)** and **interactive data visualization** techniques. The notebooks contain **data wrangling, statistical analysis, and visual storytelling** using Python.
### **🔹 Key Topics Covered:**
- **Matplotlib & Seaborn Visualizations** (Line Plots, Bar Charts, Histograms, Scatter Plots, etc.)
- **Plotly Dash Dashboards** (Interactive web-based visualizations)
- **Geospatial Analytics with Folium** (Mapping datasets with spatial insights)
- **Exploratory Data Analysis (EDA)** (Summarizing and understanding data)
- **Case Studies in Real-World Data** (Olympics, COVID-19, Wildfire trends, and more)
---
## 📂 **Project Structure**
| 🔹 File Name | 📂 Description |
|-------------|---------------|
|** Tableau
| **4.3_Plotly_Visualization.ipynb** | Interactive visualizations using Plotly. |
| **Activity_Explore descriptive statistics.ipynb** | Statistical summaries and EDA. |
| **Analyzing wildfire activities in Australia.ipynb** | Wildfire trend analysis. |
| **Create visualizations using Matplotlib, Seaborn and Folium.ipynb** | Various visualization techniques. |
| **dash_dashboard.py.ipynb** | Interactive dashboards using Dash. |
| **EDA with Data Visualization.ipynb** | Exploratory data analysis using visualization. |
| **Exploring and Pre-processing a Dataset using Pandas.ipynb** | Data cleaning and preparation. |
| **Geospatial Visual Analytics with Folium.ipynb** | Mapping data using Folium. |
| **Olympics Exploratory Data analysis.ipynb** | Visualizing Olympic datasets. |
| **Pie-Charts-Box-Plots-Scatter-Plots-and-Bubble-Plots.ipynb** | Plotting different chart types. |
| **Scatter, Line, Bar, Bubble, Histogram, Pie, Sunburst.ipynb** | Multiple visualization techniques. |
| **plotly Dash visualization.ipynb** | Dashboarding with Plotly Dash. |
| **Waffle-Charts-Word-Clouds-and-Regression-Plots.ipynb** | Advanced data storytelling techniques. |
---
## 🛠**Technology Stack**
| Tool/Technology | Purpose |
|------------------|---------|
| **Matplotlib** | Static data visualization |
| **Seaborn** | Statistical visualization |
| **Plotly** | Interactive graphs |
| **Dash** | Web-based dashboards |
| **Folium** | Geospatial visualization |
| **Pandas** | Data manipulation |
| **Jupyter Notebook** | Interactive development |
---
## 🚀 **How to Use**
1. **Clone the Repository:**
```bash
git clone https://github.com/Tolumie/Dashboards-visualisation.git
```
2. **Navigate into the Folder:**
```bash
cd Dashboards-visualisation
```
3. **Install Required Dependencies:**
```bash
pip install -r requirements.txt
```
4. **Run the Notebooks/Dashboard:**
```bash
jupyter notebook
```
- OR for Dash apps:
```bash
python dash_dashboard.py
```
---
## 📜 **Contributions & Issues**
- Feel free to fork the repository and submit pull requests.
- If you encounter any issues, report them via **[GitHub Issues](https://github.com/Tolumie/Dashboards-visualisation/issues)**.
---
## 📧 **Contact**
For any inquiries, reach out via GitHub. 🚀
---
🔹 **Happy Visualizing!** 📊💡