Topic -- EDA using Bivariate and Multivariate Analysis
๐งต
โ Bivariate Analysis
Bi means two and variate means variable, so here there are two variables. The analysis is related to cause and the relationship between the two variables.
Three types -
๐ธScatter Plot
๐ธLinear Correlation
๐ธChi-square Test
โ Multivariate analysis :
is required when more than two variables have to be analyzed simultaneously.
World is changing and AI is changing the way we work. Some websites which can help you in saving time and making an amazing resume with good ATS score, writing 10X faster blog posts.
๐ thisresumedoesnotexist โ 1000 examples (ChatGPT famous resumes)
๐lnkd.in/dkp95Ye9
๐ธPandas profiling offers report generation for the dataset with lots of features and customizations for the report generated.
๐ธletโs explore all the sections of the report one by one.
1. Overview
This section consists of the 3 tabs: Overview, Warnings, and Reproduction.
2. Variables
This section of the report gives a detailed analysis of all the variables/columns/features of the dataset. The information presented varies depending upon the data type of variable.
๐ธUni means one and variate means variable, so in univariate analysis, there is only one dependable variable. The objective of univariate analysis is to derive the data, define and summarize it, and analyze the pattern
๐ธUnivariate data can be described through:
- ร Frequency Distribution Tables
ร Bar Charts
ร Histograms
ร Pie Charts