🧾 Diwali Sales Data Analysis – Ikram Ali This project focuses on analyzing a Diwali sales dataset using Python and popular data analysis libraries. The goal is to uncover valuable business insights from customer behavior during the festive season.

📊 Key Objectives: Understand customer demographics (gender, age, marital status)

Analyze purchasing trends across states and occupations

Identify top-performing product categories

Visualize key patterns to support data-driven decision-making

🛠️ Libraries Used: NumPy – for numerical operations

Pandas – for data cleaning and manipulation

Matplotlib – for plotting charts

Seaborn – for attractive statistical visualizations

%matplotlib inline – to display plots inside the notebook

🧮 Operations Performed: Data loading using pd.read_csv() with encoding handling

Null value treatment using isnull().sum() and dropna()

Dropping unwanted columns and data type conversion

Exploratory data analysis with groupby(), describe()

Visualization with countplot(), barplot(), and plt.show()

📌 Insights Generated: Gender-wise and age-wise purchasing behavior

State-wise revenue and order comparisons

Impact of marital status on spending habits

Popular product categories and customer trends by occupation

📫 Connect with me on Fiverr: www.fiverr.com/whoikram 📂 Notebook: Diwali Sales Project Ikram Ali.ipynb