Contains code and documentation for conducting Exploratory Data Analysis (EDA) on various datasets. The EDA process involves examining and visualizing datasets to better understand their characteristics, relationships, and insights that can be derived from them.
Extensive Analysis & Visualization with Python
Data Analysis according to sale data.
Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
"Exploratory Data Analysis (EDA) scripts and resources for uncovering insights from datasets. Includes data cleaning, visualization, statistical summaries, and correlation analysis using Python libraries like pandas, matplotlib, and seaborn."
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