Lucy: Some Business Population Database

In TeachingSampling: Selection of Samples and Parameter Estimation in Finite Population

Description

This data set corresponds to a random sample of BigLucy. It contains some financial variables of 2396 industrial companies of a city in a particular fiscal year.

Usage

data(Lucy)

Format

ID

The identifier of the company. It correspond to an alphanumeric sequence (two letters and three digits)

Ubication

The address of the principal office of the company in the city

Level

The industrial companies are discrimitnated according to the Taxes declared. There are small, medium and big companies

Zone

The city is divided by geoghrafical zones. A company is classified in a particular zone according to its address

Income

The total ammount of a company's earnings (or profit) in the previuos fiscal year. It is calculated by taking revenues and adjusting for the cost of doing business

Employees

The total number of persons working for the company in the previuos fiscal year

Taxes

The total ammount of a company's income Tax

SPAM

Indicates if the company uses the Internet and WEBmail options in order to make self-propaganda.

Author(s)

Hugo Andres Gutierrez Rojas [e-mail]

References

Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros. Editorial Universidad Santo Tomas.

See Also

BigLucy, BigCity

Examples

data(Lucy)
attach(Lucy)
# The variables of interest are: Income, Employees and Taxes
# This information is stored in a data frame called estima
estima <- data.frame(Income, Employees, Taxes)
# The population totals
colSums(estima)
# Some parameters of interest
table(SPAM,Level)
xtabs(Income ~ Level+SPAM)
# Correlations among characteristics of interest
cor(estima)
# Some useful histograms
hist(Income)
hist(Taxes)
hist(Employees)
# Some useful plots
boxplot(Income ~ Level)
barplot(table(Level))
pie(table(SPAM))

Example output

   Income Employees     Taxes 
1035217.0  151950.0   28653.5 
     Level
SPAM  Big Medium Small
  no   26    291   620
  yes  57    446   956
        SPAM
Level        no    yes
  Big     31914  71792
  Medium 190852 296499
  Small  175186 268974
             Income Employees     Taxes
Income    1.0000000  0.645536 0.9169541
Employees 0.6455360  1.000000 0.6468550
Taxes     0.9169541  0.646855 1.0000000

TeachingSampling documentation built on April 22, 2020, 1:05 a.m.