Exploratory Data Analysis (EDA): A Technique For Visualizing and Summarizing Data
The crucial aspect of data analysis that allows you to gain insights and identify patterns in your data is Exploratory Data Analysis (EDA).
EDA is a process of summarizing and visualizing data to help understand its main characteristics.
The purpose of EDA is to uncover the underlying structure of the data and to identify any relationships, patterns, or outliers.
Through EDA, you can make informed decisions about how to best analyze your data, develop hypotheses, and ultimately, gain a deeper understanding of the data.
Whether you are a data scientist, business analyst, or student, EDA is an essential step in the data analysis process that can provide valuable insights and inform your next steps.
By investing time in EDA, you can increase the accuracy and effectiveness of your analysis, leading to better results and more informed decisions.
What is Exploratory Data Analysis (EDA)?
Exploratory Data Analysis (EDA) is a method of assessing data sets in order to…
