Python Visualization Project 📊

🐍 Python is one of my key tools for data cleaning, analysis, automation and visualisation. I use libraries such as Pandas, NumPy, Matplotlib and Seaborn to work with datasets, identify patterns and transform raw data into clear, meaningful insights.

📊 I use Python to support data analysis, reporting and visualisation, helping turn complex datasets into information that is easier to understand and communicate.

🐍 Python FizzBuzz Project

This project helped me build my Python programming and problem-solving skills by creating a FizzBuzz program using loops and conditional statements.

🔄 I used a for loop to iterate through numbers from 1 to 100 and applied if, elif and else statements to determine whether each number was divisible by 3, 5, or both.

🧠 Core skills learnt:

Python fundamentals
for loops
if / elif / else statements
Modulo % operator
Conditional logic
Problem solving
Writing and testing Python code

💡 This exercise gave me practical experience in using logic and automation to process data and produce specific outputs.

🐍 Python Data Analysis Project

I used Python and Pandas to explore and analyse a structured dataset containing country, region and economic estimates from sources such as the IMF, World Bank and UN.

📊 I used df.head() to inspect the first 10 rows of the dataset and understand its structure before carrying out further analysis.

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