## Quick Life-Expectancy Visualizations

A few visuals I created in Tableau displaying some trends in life expectancy by country. Data was sources from the World Bank Open Data website and includes life expectancy at birth of around 200 countries from between 1968 and 2014. Originally conducted for SNHU Data Visualization homework assignment in which to express data in five different method classifications: comparison, hierarchical, temporal, correlation, and geo-spatial.

## A Baby on the Way

My wife and I have a child on the way! With this on my mind lately, I thought it would be interesting to grab some data and visualize tendencies seen throughout pregnancy and birth. I dug into CDC: National Center for Health Statistics and Social Security datasets and found a few interesting trends to visualize.

## Foreign Trade Flows (Chord Diagram)

In honor of the looming trade war, here's a diagram I made which displays how much money changed hands in trade between the US, EU, Canada, and Mexico in 2016. While it may look like a relatively small portion of the aggregate total trade, thats still a lot of money.

## Time Series Analysis in R

Lately I've been looking to explore time-series modeling and to get more practice with manipulating data in R. Luckily, a dataset on Kaggle provided me the opportunity to do both of these things. Attempting to predict future sale volume of items in stores (from 1-C russian store sales dataset) gave me the chance to apply the theoretical knowledge I've been studying of time-series analysis (ARIMA in particual). Additionally, I was able to get more comfortable with dplyr and lubridate in the process.

## Practice at Dimensionality Reduction with SKlearn

I found some free time and thought I'd finally get some more practice at dimensionality reduction. With this goal in mind, I went onto Kaggle and found a competition(Estimate house prices) which looked appropriate to practice these skill with. Throughout this post I walk through the steps I took from cleaning and standardizing the data, to finally performing PCA and fitting a simple linear regression to the top five most influential eigenvectors! Not the most accurate regression ever, but great practice and surprisingly efficient given it drops 81 variables into only 5.

## Nigerian Airline Frequency Analysis

A summary report of work I did for a Data Analytics II course at SNHU. Fictional company, Austin Air, is looking to enter the international airline industry with a goal of capturing a significant market share of business focused around Nigeria. Analysis will provide a look at the current industry and suggest strategies towards implementing a pilot program for the company to introduce to the market and achieve their goal.