Data-Insight-Lab 📊

Interactive Data Analytics Dashboard built with Python and Streamlit. Features exploratory data analysis (EDA), dynamic visualizations, and KPI tracking using Pandas.

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🚀 About This Project (My Data Journey)

Welcome to my portfolio! This is my very first project in the field of Data Analytics. It represents the starting point of my journey into data science. My goal was to move beyond static spreadsheets and build a live, interactive tool that consumes real-time financial data. While this is just the beginning, it demonstrates my ability to integrate APIs, handle data frames, and create user-friendly interfaces.

Stay tuned: I will be constantly adding more complex projects to this repository as I master SQL, Machine Learning, and deeper statistical analysis.

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🛠️ How I Built It (Step-by-Step)

This project was built using an iterative process to ensure robustness and usability:

1. Environment Setup

I set up a cloud-based development environment using GitHub Codespaces, ensuring a clean and reproducible workspace with Python.

2. Data Extraction (ETL)

Instead of using static CSV files, I implemented a connection to the Yahoo Finance API (yfinance). This allows the dashboard to pull stock market data in real-time, making the tool useful for current market analysis.

3. Data Processing with Pandas

I used pandas to structure the raw JSON data into DataFrames, handling dates and cleaning missing values to prepare the dataset for visualization.

4. Interactive Visualization

I chose Plotly over static libraries (like Matplotlib) to create interactive Candlestick charts. This allows users to zoom, pan, and hover over specific data points to see open/close prices.

5. User Interface (UI/UX)

Using Streamlit, I built a sidebar for user inputs. I implemented:

• Dropdown menus for quick selection of popular assets (Apple, Bitcoin, etc.).
• Input validation and error handling (Try/Except blocks) to prevent the app from crashing if an invalid ticker is entered.

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💻 Tech Stack

• Language: Python 3.10+
• Web Framework: Streamlit
• Data Manipulation: Pandas
• Data Visualization: Plotly Graph Objects
• API: yfinance

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⚙️ How to Run Locally

If you want to clone this repository and run the dashboard on your machine:

1. Clone the repo:

   git clone [https://github.com/TU_USUARIO/Data-Insight-Lab.git](https://github.com/TU_USUARIO/Data-Insight-Lab.git)
   cd Data-Insight-Lab

2. Install dependencies:

   pip install streamlit pandas yfinance plotly

3. Run the app:

   streamlit run app.py

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Created with ❤️ by Pablo Rejon Camacho