Eda: Playground lets you type in and run

EDA Playground lets you type in and run HDL code (using a selection of free and commercial simulators and synthesizers). It's great for learning HDLs, testing out unfamiliar things and sharing code. In this article, discover what Exploratory Data Analysis EDA in data science is, its types, and best practices to enhance your data exploration process. Exploratory Data Analysis (EDA) is a process of describing the data by means of statistical and visualization techniques in order to bring important aspects of that data into focus for further analysis. This involves inspecting the dataset from many angles, describing & summarizing it without making any assumptions about its contents. Exploratory Data Analysis (EDA) is an important step in data science and data analytics as it visualizes data to understand its main features, find patterns and discover how different parts of the data are connected.