Toolkit and Datasets for Data Science

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Documentation for package ‘liver’ version 1.29

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

liver-package	liver: Foundations Toolkit and Datasets for Data Science
accuracy	Average classification accuracy
adult	adult data set
advertising	advertising data set
bank	Bank marketing data set
bike_demand	Seoul Bike Sharing Demand Data
caravan	Caravan insurance data set
cereal	Cereal data set
churn	Churn dataset for Credit Card Customers
churn_mlc	Churn data set from MLC++ machine learing
churn_tel	churn_tel dataset
conf.mat	Confusion Matrix
conf.mat.plot	Plot Confusion Matrix
cpu_price	CPU Specifications and Market Prices
credit	South German Credit Data
creditcard_fraud	Credit Card Transactions for Fraud Detection
doctor_visits	Doctor Visits and Health Care Utilization Data
drug	drug data set
find.na	find.na
gapminder	Gapminder Data on Global Health, Income, and Population
house	house data set
house_price	house_price dataset
insurance	insurance data set
kNN	k-Nearest Neighbour Classification
kNN.plot	Visualizing the Optimal Number of k
loan	Loan Application and Approval Data
mae	Mean Absolute Error (MAE)
marketing	marketing data set
minmax	Min-Max scaling of numerical variables
mortgage	Mortgage data set
mse	Mean Squared Error (MSE)
one.hot	One Hot Encoder
partition	Partition the data
prop.conf	Confdidence interval for proportion
purchase_intention	Online Shopper Purchase Intention Data
red_wines	Red wines data set
risk	Risk data set
scaler	Feature scaling
skewness	Skewness
skim	Skim a data frame to get useful summary statistics
t_conf	Confdidence interval for mean
white_wines	White wines data set
wholesale_customers	Wholesale Customer Spending Data
z.conf	Confdidence interval for mean using z-distribution
zscore	Z-score scaling of numerical variables