Author Archives: Jonathan Scholtes

Complex Data Relationships with Neo4j

I found myself facing a dilemma while working on a data model to incorporate medical nomenclature records (body structures, procedures, disorders, etc.), their associated relationships, and additional Healthcare data. I feared that the complexity of this data would require an overly complex RDBMS or MongoDB solution, thus making data loading and retrieval suboptimal. The amount of logic […]

Economic Indicators R Flex Dashboard

Starting with R Markdown flexdashboard

Using R Markdown and Flex Dashboard to display U.S. Economic Indicators.

Implementing an Analytical Layer

Implementation of analytical layer with mongodb and R to optimize department resources.

RMarkdown flexdashboard – Test Drive

The other week I started working with flexdashboard to see if I could create some interactive R Shiny Dashboards. If you have worked with RMarkdown and Shiny before then flexdashboard is fun and easy, if not, then some additional explanations and references may be required to ensure you are having as much fun as I […]

Forecasting and Python Part 1 – Moving Averages

I would like to kick off a series that takes different forecasting methodologies and demonstrates them using Python.  To get the ‘ball rolling’ I want to start with moving averages and ideally end the series on forecasting with ARIMA models (AutoRegressive Integrated Moving Average). My goal is to have this content ‘light’ on theory and mathematics and instead […]

Processing Big Data Files With R

Using R to sequentially group and sample a big data file for processing

Using R and Google Places API to Geocode Locations

Using Google Places Web API to Geocode when address is not known.

Python-Custom Distance Radius with Basemap

Using Python and Basemap to render circles, with radius mile from lat, long center

R – xTable Custom Column Header Rotation

Using LaTeX to format xtable column headers displaying R data.table results.

R – Using DoParallel to Significantly Speedup Database Retrieval

How R doParallel enabled performance gains on project with data latency issues