# Toolkit and Datasets for Data Science

## 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