Quick Visualiztion Using Auto_Viz

To perform the EDA visualization gives a quick glance and understanding of independent variables. On further deep diving from univariate to multivariate analysis can be easily understood by visualization.

So here is the new library autoviz which gives an enhanced visualization experience in a few codes of lines.

Installing

!pip install autoviz

Initializing the class

from autoviz.AutoViz_Class import AutoViz_Class

AV = AutoViz_Class()

Visualization of Titanic dataset

Shape of your Data Set: (891, 12)
############## C L A S S I F Y I N G  V A R I A B L E S  ####################
Classifying variables in data set...
    Number of Numeric Columns =  2
    Number of Integer-Categorical Columns =  3
    Number of String-Categorical Columns =  1
    Number of Factor-Categorical Columns =  0
    Number of String-Boolean Columns =  1
    Number of Numeric-Boolean Columns =  1
    Number of Discrete String Columns =  2
    Number of NLP String Columns =  0
    Number of Date Time Columns =  0
    Number of ID Columns =  2
    Number of Columns to Delete =  0
    12 Predictors classified...
        This does not include the Target column(s)
        4 variables removed since they were ID or low-information variables
Number of All Scatter Plots = 3

Time to run AutoViz (in seconds) = 3.554

 ###################### VISUALIZATION Completed ########################

From above we can see in a few seconds we are able to get a quick glimpse and better understanding of the data.