Exploratory Vs. Explanatory Analysis

data_generalPhoto by rawpixel on Unsplash

When working with data, it is important to understand the purpose of data analysis. Though the end result of a data analysis process may be a single visualization, there are various stages this analysis goes through.

Broadly, there are 2 types of data analysis:

Exploratory analysis – Explanatory analysis is often the first step of data analysis.┬áHere we get familiar with data, ask questions, visualize the data in a number of forms, look for relationships between the variables, look for outliers, patterns and trends in data. The output of explanatory analysis is usually only for the us, the data analysts.

Explanatory analysis – Explanatory analysis is what happens when we have identified 1 or 2 interesting observations in the data. We now create the visuals to present our findings. The output of an explanatory analysis is generally for the public


  1. Pingback: Data Analysis and Visualization: 1a. Female corporate talent pipeline

  2. Pingback: A Complete Guide to Types of Data and Measurement Scales - Daydreaming Numbers

  3. Pingback: Nike in Asia - Visualization project - Daydreaming Numbers

Leave a Reply

You have to agree to the comment policy.

This site uses Akismet to reduce spam. Learn how your comment data is processed.