What is EDA
I am a Tech Enthusiast having 13+ years of experience in ๐๐ as a ๐๐จ๐ง๐ฌ๐ฎ๐ฅ๐ญ๐๐ง๐ญ, ๐๐จ๐ซ๐ฉ๐จ๐ซ๐๐ญ๐ ๐๐ซ๐๐ข๐ง๐๐ซ, ๐๐๐ง๐ญ๐จ๐ซ, with 12+ years in training and mentoring in ๐๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ , ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ , ๐๐๐ฌ๐ญ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐. I have ๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐ 10,000+ ๐ฐ๐ป ๐ท๐๐๐๐๐๐๐๐๐๐๐๐ and ๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐ 500+ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐ in the areas of ๐๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ, ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ , ๐๐ฅ๐จ๐ฎ๐, ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ, ๐๐๐ญ๐ ๐๐ข๐ฌ๐ฎ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ ๐๐ง๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ . I am interested in ๐ฐ๐ซ๐ข๐ญ๐ข๐ง๐ ๐๐ฅ๐จ๐ ๐ฌ, ๐ฌ๐ก๐๐ซ๐ข๐ง๐ ๐ญ๐๐๐ก๐ง๐ข๐๐๐ฅ ๐ค๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐, ๐ฌ๐จ๐ฅ๐ฏ๐ข๐ง๐ ๐ญ๐๐๐ก๐ง๐ข๐๐๐ฅ ๐ข๐ฌ๐ฌ๐ฎ๐๐ฌ, ๐ซ๐๐๐๐ข๐ง๐ ๐๐ง๐ ๐ฅ๐๐๐ซ๐ง๐ข๐ง๐ new subjects.
Exploratory Data Analysis is a data analytics process to understand the data in depth and learn the different data characteristics, often with visual means.
It is used to discover trends, and patterns, or check assumptions, gather insights and make better sense of the data, and remove irregularities and unnecessary values from data.
Objective of EDA
Identifying and removing data outliers
Identifying trends in time and space
Uncover patterns related to the target
Creating hypotheses and testing them through experiments.
Identifying new sources of data.
Steps involved in EDA
Types of EDA
Univariate Analysis
In Univariate analysis, the output is a single variable and all data collected is for it. There is no cause-and-effect relationship at all.
Bivariate Analysis
In Bivariate analysis, the outcome is dependent on two variables, while the relation with it is comparted with two variables.
Multivariate Analysis
In multivariate analysis, the outcome is more than two. The analysis of data is done on variables that can be numerical or categorical. The result of the analysis can be represented in numerical values, visualization, or graphical form.
Thatโs itโฆ Hope you liked this article. Happy Learning:).
Feel free to ask your doubts in the comments.
