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Tracking Coronavirus: Building Parameterized Reports to Analyze Changing Data Sources

Tyler Sanders
Wednesday, 1 April 2020 / Published in R, Code, ggplot2, Data Visualization, Tutorials, RShiny, JavaScript
The pace of our modern world, and the impressive volume of data we collect on a daily basis, can be dizzying. Take for example, the hour-by-hour updates and colorful dashboards made by news outlets as they track the spread of novel coronavirus (Covid-19). Organizations need quick and consistent solutions for exploring, analyzing, and acting on...
R Code ggplot2 Data Visualization Tutorials RShiny JavaScript

Draw Rotatable 3D Charts in R Shiny with Highcharts and JQuery

Daina Andries
Wednesday, 13 March 2019 / Published in Highcharts, Data, R, Code, JQuery, Data Visualization, Tutorials, RShiny, JavaScript
While it might be tempting to liven up a report or presentation with a few 3D graphs, two-dimensional representation is generally better when numbers are the primary information you want to communicate. Nevertheless, on occasions when numeric values aren’t the primary focus, and you’re more interested in showing the shape of the data, adding a...
Highcharts Data R Code JQuery Data Visualization Tutorials RShiny JavaScript

Customizing Click Events: How to Capture and Store Data from JavaScript Objects in R Variables

Daina Andries
Wednesday, 17 October 2018 / Published in Data, R, Code, Analytics, Data Science, Data Visualization, Tutorials, R Shiny, JavaScript, Machine Learning
Interaction Design for Data Exploration Visualizations capable of launching detail views can add value to a data analyst’s user experience. Programming in this kind of interaction automates the creation of complementary charts and increases ease of exploration by linking varied views of the data in a logical way.
Data R Code Analytics Data Science Data Visualization Tutorials R Shiny JavaScript Machine Learning

Analytics at Scale: h2o, Apache Spark and R on AWS EMR

Mark Stephenson
Thursday, 21 June 2018 / Published in R, Code, Analytics, Apache Spark, Data Science, h2o, Predictive Analytics, Tutorials, Sparkling Water, Machine Learning
At Red Oak Strategic, we utilize a number of machine learning, AI and predictive analytics libraries, but one of our favorites is h2o.  Not only is it open-source, powerful and scalable, but there is a great community of fellow h2o users that have helped over the years, not to mention the staff leadership at the company is very responsive...
R Code Analytics Apache Spark Data Science h2o Predictive Analytics Tutorials Sparkling Water Machine Learning

Red Oak Strategic - Time Series Forecasting with Machine Learning

Mark Stephenson
Monday, 7 May 2018 / Published in Data, R, Code, Analytics, Time Series, Data Science, Forecasting, Predictive Analytics, Tutorials, Machine Learning
Introduction This post will demonstrate how to use machine learning to forecast time series data. The data set is from a recent Kaggle competition to predict retail sales.       You will learn how to: Build a machine learning model to forecast time series data (data cleansing, feature engineering and modeling) Perform feature engineering to...
Data R Code Analytics Time Series Data Science Forecasting Predictive Analytics Tutorials Machine Learning

Red Oak Strategic - How To: Add & Execute Python Excel Macro

Mark Stephenson
Thursday, 14 December 2017 / Published in Data, R, Code, Excel, Data Science, Python, Tutorials
Frequently, we encounter projects that require the combined use of Python, Microsoft Excel and some external databases that can only be accessed via Excel, or use cases that require the end product to be output to that format.  Excel is still used as a key program for the vast majority of businesses and we are often challenged to create...
Data R Code Excel Data Science Python Tutorials

Red Oak Strategic - How To: Select Locations on a Map in R Shiny Leaflet

Daina Andries
Thursday, 7 December 2017 / Published in R, Code, Maps, Analytics, Data Science, Data Visualization, Tutorials, R Shiny
Our team recently designed a dashboard using R Shiny Leaflet allowing users to select many locations at one go on an interactive map. We created the map using the package leaflet.extras, which enables users to draw shapes on R Shiny Leaflet maps. When combined with the package sp and a function called findLocations, the leaflet.extras  drawing...
R Code Maps Analytics Data Science Data Visualization Tutorials R Shiny

Red Oak Strategic - How To: Apply Family of R Functions

Patrick Stewart
Monday, 6 November 2017 / Published in Data, R, Code, Data Science, Tutorials
The apply function in R is used as a fast and simple alternative to loops. It allows users to apply a function to a vector or data frame by row, by column or to the entire data frame. Below are a few basic uses of this powerful function as well as one of it’s sister functions lapply. There are other functions in the apply family (sapply,...
Data R Code Data Science Tutorials
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