note: glm function gives nonsensical probabilities, a.ka. negatives, because of the response type in the predict function

using ggplot creating the graph for wage based on poly(age, 4)

Top 15 horror movie distributors based on the median of their production budget.

Based on Tidy Tuesday dataset from October 2018

The graph of log of number of bikers in Washington DC

using ggpairs for a LDA of Iris dataset

The graph of the probability of default using ggplot

Creating sales hyperplane using TV and Radio Advertising

Creating a pairwise plot for credit card sales

start of reconnecting with DS

just working with some data

Space Launches

Space launches

Captures and status of Dolphins

Bridge condition vs distribution across country

Bridge Conditions, year built

Turbine size and capacity

M

Malaria death per decades

plotly Malaira

Malaria

Malaria Incidence

Just having fun.

This is one type of my work. I am looking to expand on it.

New work that I am learning.

This is my new work.

This is my first time publishing a file in Rpubs.