Analyze Corporation uses various techniques to evaluate large data-sets in a timely manner. Although the following references are not developed by us, they do represent some of the capabilities that we possess to solve analytical problems.
•Explanation: Pandas Pivot Tables.
•Explanation: Manipulating Data via Python Pandas.
R: ExampleS AND TUTORIALS
•Explanation: How to make a Pivot Table in R.
•Explanation: Counting and Aggregating Data in R.
•Explanation: Data Binning and Plotting in R.
•Explanation: Showing and Hiding Data using R Leaflet.
EXCEL: ExampleS AND TUTORIALS
GEOSPATIAL: ExampleS AND TUTORIALS
•Tutorials: Different techniques to map US Census Data.
•Explanation: Calculate the distance between any two GPS coordinates.
MACHINE LEARNING: ExampleS AND TUTORIALS
•Tutorials: A collection of Weka tutorials.
•Tutorials: Data-mining with Weka.
PRINCIPAL COMPONENT ANALYSIS:
•Explanation: Using Python and Matplotlib library to classify data.