Data Science

Exploratory Data Analysis

Data Science Process

Analyzing data sets to summarize and visualize data properties is our main area of business. Before you make any inferences, we listen to your data by examining all variables in data. Our EDA process specifically focuses on following aspects;

  • Understanding characters of data
  • Finding meaningful patters in data
  • Possible modeling strategies
  • Debugging strategies
  • Visualization of results

In exploratory data analysis, methods we apply includ, but not limited, to the following:

  • Exploratory Graphs
  • Dimension Reduction
  • Singular Value Decomposition (SVD)
  • K-means Clustering
  • Hierarchal Clustering


  • R
  • Excel
  • Python
  • Matlab