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Exploratory Data Analysis Report

Exploratory Data analysis (EDA)

Analyzing the data sets to summarize their main characteristics of variables, often with visual graphs, without using a statistical model.

1. Overview of the data

Understanding the dimensions of the dataset, variable names, overall missing summary and data types of each variables

# Overiview of the data
ExpData(data=data,type=1)
# Structure of the data
ExpData(data=data,type=2)
Overview of the data
Structure of the data

2. Summary of numerical variables

Summary of all numeric variables

ExpNumStat(data,by="A",gp=NULL,Qnt=seq(0,1,0.1),MesofShape=2,Outlier=TRUE,round=2)

3. Distributions of numerical variables

Graphical representation of all numeric features

  • Quantile-quantile plot(Univariate)
ExpOutQQ(data,nlim=4,fname=NULL,Page=c(2,2),sample=sn)
## $`0`

  • Density plot (Univariate)
ExpNumViz(data,target=NULL,type=1,nlim=NULL,fname=NULL,col=NULL,Page=c(2,2),theme=theme,sample=sn)
## $`0`

  • Scatter plot (Bivariate)
ExpNumViz(data,Page=c(2,1),sample=sn,theme=theme,scatter=TRUE)
## $`0`

4. Summary of categorical variables

Summary of categorical variables

  • frequency for all categorical independent variables
ExpCTable(data,Target=NULL,margin=1,clim=10,nlim=NULL,round=2,bin=NULL,per=T)

NA is Not Applicable

5. Distributions of categorical variables

  • Bar plots for all categorical variables

Bar plots for all categorical variables

Bar plot with vertical or horizontal bars for all categorical variables

ExpCatViz(data,target=NULL,fname=NULL,clim=10,margin=2,theme=theme,Page = c(2,2),sample=sc)
## $`0`

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