📘 Pandas Data Analysis

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📖 About This Repository

My learning journey with Pandas, the powerful Python library for data manipulation and analysis.

It contains practice notebooks and scripts where I explored different datasets, applied data-cleaning techniques, and performed meaningful analysis with Pandas. The goal is to strengthen my Python and Data Analysis skills through hands-on practice.

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📂 Topics Covered

• 📂 Data Exploration → read_csv, head(), tail(), info(), describe()
• 🎯 Selection & Indexing → .iloc[], .loc[], boolean filtering
• 🧹 Data Cleaning → dropna(), fillna(), drop_duplicates(), sort_values()
• 📊 Aggregation & Grouping → groupby(), sum(), mean(), count()
• 🔗 Merging & Joining → SQL-style joins with merge()
• 📑 Pivot Tables → Summarizing data efficiently
• 📈 Visualization → Pandas plotting + Matplotlib (pie charts, bar plots, histograms)
• 📝 Custom Functions → Applying and creating helper functions

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📊 Datasets Used

• DataScience_salaries_2024.csv → Job roles, salaries, and remote ratio trends
• food_order.csv → Food order analysis & pivot tables practice
• Netflix Movies and TV Shows.csv → Cleaning, missing values handling
• Fortune 500 Companies US.csv → Aggregation & grouping practice

⚠️ All datasets are publicly available and used only for educational purposes.

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🚀 Getting Started

1️⃣ Clone the repository

git clone https://github.com/Sidra-009/pandas-data-analysis.git
cd pandas-data-analysis

2️⃣ Install dependencies (recommended: use a virtual environment)

pip install pandas numpy matplotlib jupyter

3️⃣ Launch Jupyter Notebook

jupyter notebook

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🎯 Purpose

This repository is not a final project but a learning workspace. It reflects my continuous progress in exploring data analysis with Pandas, while building a foundation for future Data Science projects.

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👩‍💻 Author

Sidra Saqlain 📌 Data Science Student | Enthusiastic about Data Analysis & Problem-Solving

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✨ If you find this repository useful or inspiring, please ⭐ it!

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