In the last DIY, we introduced the concept of Exploratory Data Analysis (EDA). This is a fundamental step in Data Science. One of the key components of the EDA is finding out about the data distribution. Let’s inspect this in more depth!

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A Box and Whisker Plot (or Box Plot) is a convenient way of visually displaying groups of numerical data through their quartiles. Read more here.

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The data science life cycle can be described as a systematic process that involves gathering, cleaning, analyzing, and interpreting data to extract meaningful insights and make informed decisions. It typically consists of several stages, including problem definition, data collection, data preprocessing, exploratory data analysis, model building, model evaluation, and deployment. The ultimate goal is to leverage data to gain valuable insights, solve problems, and drive business outcomes.

Exploratory Data Analysis, also known as EDA, has become an increasingly hot topic in data science. Just as the name suggests, it is the process of trial and error in an uncertain space, with the…

How to quickly get a handle on almost any tabular dataset

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In the last article, we have explored “Data Wrangling and Visualization in R Programming Languages“. Here we will learn about Exploratory…

Exploratory Data Analysis is an important process for getting insight from data. We demonstrated on Robust Exploratory Data Analysis using Sweetviz