EDA

EDA plots using the BikeSharing dataset as example.

Experiment initialization and data preparation

from piml import Experiment

exp = Experiment()
exp.data_loader(data="BikeSharing", silent=True)

histogram-density plot

exp.eda(show='univariate', uni_feature='cnt', figsize=(5, 4))

bar plot

exp.eda(show='univariate', uni_feature='yr', figsize=(5, 4))

scatter plot

exp.eda(show='bivariate', bi_features=['temp', 'cnt'], figsize=(5, 4))

box plot

exp.eda(show='bivariate', bi_features=['hr', 'season'], figsize=(5, 4))

stack bar plot

exp.eda(show='bivariate', bi_features=['yr', 'season'], figsize=(5, 4))

correlation heatmap

exp.eda(show='multivariate', multi_type='correlation_heatmap', figsize=(6, 5))

correlation graph

exp.eda(show='multivariate', multi_type='correlation_graph', figsize=(6, 5))

Estimated memory usage: 24 MB