random sampling, stratified sampling, and systematic sampling are compared with the UCI 130 Hospitals US from 1999-2008 dataset

This EDA explores the data from the american_bankruptcy dataset from Kaggle, including data visualization, descriptive statistics, data transformations, and inclusion of a k-means cluster model.

not a finished product but saving here for reference as I work on it

In Part 7 of this EDA assignment, I practiced feature generation techniques

In Part 6 of this EDA of the Cleveland Heart dataset, I address transformation and scaling.

Part 5 is a focus on descriptive statistics

This is part 4 of my EDA of the Cleveland Heart dataset, focused on multivariate data visualization.

The 3rd assignment in my current data science course on EDA. I'm posting for my own records, since the frequent error messages in the HTML document are cumbersome but valuable to me as a student. As someone new to coding, I'm keeping this in my profile for reference.

In Part 2 of this EDA, missingness is explored using Amelia - II. This particular dataset did not contain missing values for imputation. A discussion regarding multiple imputation methods, such as MICE is included at the end of the notebook.

In this notebook, I refined the formatting and style of my notebook while completing a class assignment designed to teach one aspect of data preprocessing - reclassification!

Assignment 7

This is an EDA assignment using a provided data set. This assignment focuses on obtaining meaningful insights using data visualizations.

Assignment 4: class assignment: DDS 8500 v1 National University

practice knit of code to HTML