Data. Philosophy. Life.
https://github.com/ianfrantz/Docker-with-Databases That github project contains lots of code I wrote from scratch to do many things with Microsoft SQL Server and PostgreSQL. Some of it comes from the SQL Saturday in Redmond I went to in April. I tried to […]
Do we have a dangerous permanent trend in US crime? “We have a crime problem. I wish the blip, I wish the rise that we are seeing in crime in America today were some sort of abortion or a blip. […]
(TL;DR) As we’ve hurried down the empirical path of measurement while also having a large head full of rationalist theory, we’ve come to an interesting intersection. People are becoming more skeptical of data measurements, collection, results and this is a […]
Part 1 – Overview and Study Hall Course Overview On August 6th, 2015 I took Professor Edward Tufte’s one day course entitled: Presenting Data and Information. The following three blog posts and videos are my attempts to summarize the five […]
The current state of the project includes histogram and time series analysis with anomaly detection. Begin R Code: Journal Analysis – Time Series with Anomaly Detection Ian Frantz (www.ianfrantz.com) July, 26 2015 Exploritory Hypothesis: Can the data that I’ve collected […]
The INFJ remains the rarest of the 16 Myers-Briggs personality types. The abbreviation stands for Introversion, Intuition, Feeling and Judging. It’s the type of personality I am and that damn ‘J’ always seems to get me in trouble but I […]
R Libraries Ian Frantz (www.ianfrantz.com) June 18, 2015 A Short List of R Libraries I Use I am writing this post because I need for myself a referenceable list for what packages I’ve been installing and for what purposes. Purpose […]
UPDATE: 6/17/15 – I’ve since realized that a dataframe is not the right format for timeseries analysis. I’ve redone this code and will post an update soon. In this dataset I go through my 2008 journal and plot it over […]
This is a good article: simplystatistics.org/2015/03/17/data-science-done-well-looks-easy-and-that-is-a-big-problem-for-data-scientists/ Let’s split the points into two distinct categories: 1. Visualization makes data-science look easy. 2. The backend work is difficult. I don’t think this split is at all new. I think that data visualization […]