Unlock the Power of Exploratory Data Analysis in Data Science 📊

#WhatisExploratoryDataAnalysis #ExploratoryDataAnalysisinDataScience #PodcastClip #Intellipaat

Get ready to explore the world of Data Science with our Intellipaat Podcast episode focusing on Data Science Roadmap 2024.

In this video, our esteemed guest, Mr.Parth Sharma, the Senior Manager of Data Science @ Piramal Finance will tell us “What is Exploratory Data Analysis”
Stay tuned!

✅What is meant by exploratory data analysis?
Exploratory Data Analysis (EDA) is an analysis approach that identifies general patterns in the data. These patterns include outliers and features of the data that might be unexpected. EDA is an important first step in any data analysis.

✅What are the 4 types of exploratory data analysis?
The four types of EDA are univariate non-graphical, multivariate non-graphical, univariate graphical, and multivariate graphical.

✅What is explanatory data analysis?
Explanatory & Exploratory Data Analytics | Boost Labs
Explanatory data analytics focuses on all the parts of context, mainly the why and how. An outcome can be statistically calculated, modeled, or visualized to tell you the likelihood of certain events based on preconceived variables.