How to Conduct Descriptive Statistics Analysis Effectively

Author(s): Richard Warepam

Originally published on Towards AI.

Breaking Down Descriptive Statistics: How to Squeeze More Insights from Your Data

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First things first. I’m not going to teach you coding here. I will advise you on what questions you should ask during a descriptive statistics analysis procedure.

What are descriptive statistics? It is defined as a method for summarizing and describing a dataset’s primary aspects.

However, you should focus on “What is its ultimate goal?” — The ultimate purpose of descriptive statistics is to understand the data prior to any data analysis or model-building activities.

But why exactly do we use descriptive statistics? Because it helps us make sense of all of the data by organizing, summarizing, and presenting it in an understandable format. Also, before we begin any advanced statistical tests, such as inferential statistics, we must first understand what our data is telling us.

As previously said, in this article, I will walk you through the entire method that I generally use to undertake descriptive analysis. I am confident that this will greatly benefit your descriptive statistics procedure.

In an age where data is everything and everywhere, obtaining the right data for your work is essential.

Why, though? Instead of elaborating, let me ask you a question: do… Read the full blog for free on Medium.

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