15 Data Exploration techniques to go from Data to Insights

Structuring the art of data exploration

Pranay Dave
Towards Data Science
Photo by h heyerlein on Unsplash

We all have faced the anxiety of looking at raw data and thinking what to do next. Though the data science algorithms are well-established, how to proceed from raw data to developing insights still remains a craft.

So how can one structure an art ? One of things which can be done is to develop some kind of list or building blocks. Take for example English language. The building blocks are alphabets A, B, C etc… It is with this basic building blocks of alphabets that we are able to build beautiful words

So in this article I make an attempt to list most effective data exploration techniques. This list is no means any exhaustive list, but my attempt here is to bring some structure to the art of data exploration

In order to illustrate these data exploration techniques, let me take a sample dataset of cars.

Now let me illustrate the data exploration techniques

1. Unique value count

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