exploratory-data-analysis-project

In this repository, explore insightful solutions through exploratory data analysis focusing on mental health problems. Gain valuable insights into understanding and addressing key challenges in this critical domain.

This repo contains my Week 3 Data Analyst Internship project at Logic Stack. The project focuses on supply chain analytics using Python (Pandas) for data cleaning, exploratory data analysis (EDA) & visualizations, along with an interactive Power BI dashboard to analyze shipment performance, delivery trends, vendor efficiency & logistics insights.

EDA of the Hotel Booking Demand dataset to uncover patterns and factors influencing hotel bookings, cancellations, customer preferences, and booking trends. The project includes data cleaning, statistical analysis, feature exploration, and data visualization to derive actionable insights for improving hotel revenue and booking management.

Exploratory Data Analysis (EDA) of the IBM HR Analytics Employee Attrition dataset to identify key factors influencing employee attrition. The project includes data cleaning, statistical analysis, feature exploration, visualization, and business insights to understand employee turnover patterns and support data-driven HR decision-making

EDA of a Corporate Health Insurance dataset to analyze employee demographics, health indicators, lifestyle factors, and insurance premium charges. The project includes data cleaning, statistical analysis, feature exploration, visualization, and business insights to identify key factors influencing healthcare costs and corporate wellness decisions.

SQL-based exploratory data analysis of a chocolate sales dataset to uncover sales trends, product performance, market insights, and business opportunities