OS X plotting framework

This repository is my collection of various projects involving Data Visualization of various datasets using Python

Example of an end to end data analysis project starting from data acquisition to development of insights. Raw python is mostly used.

Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities

Scatter Plot Matrix implementation for ClojureScript

In this project, I created a Scatter Plot Graph using D3 with a dataset provided by FreeCodeCamp.

🔴 Predicting Insurance Claim Amounts 🔴 This project analyzes the Medical Cost Personal Insurance Dataset to understand key factors influencing healthcare expenses. Through data cleaning, visualization, and feature engineering, important patterns in age, BMI, smoking, and region were uncovered.

Using D3.js, animated scatter plots analyze relationships between health risks and different demographics in the US.

In this project, I use the 'Python Programming Language' to analyze a given dataset obtained from a shopping mall's database in a bid to increase sales by better marketing clusters.

A visual analysis of a ride sharing application based on the Urban, Suburban and Urban fare differences and total available rides.

evaluate the performance among various algorithmic, hedge, and mutual fund portfolios and compare them against the S&P 500 Index.

Using R, performed statistical analysis and data visualization of life expectancies of United States, Canada, and Mexico, using custom plots and data analysis.

🔸 Predicting House Prices with Linear Regression 🔸 This project predicts house prices using Linear Regression based on key features like square footage, bedrooms, bathrooms, lot size, and neighborhood quality. Built with Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis and visualization.

Plotting of the Confidence interval and Prediction interval for a Linear Regression model.

🔍 Predict insurance claim costs using data analytics and machine learning to reveal insights about healthcare expenses and improve accuracy in predictions.

This project uses python, pandas, and matplotlib to analyze the efficacies of cancer-treating drugs on metastatic spread and survival rates.

📊 Build a predictive model to estimate house prices using Linear Regression, transforming raw data into actionable business insights.