| BigLucy {TeachingSampling} | R Documentation |
Full Business Population Database
Description
This data set corresponds to some financial variables of 85396 industrial companies of a city in a particular fiscal year.
Usage
data(BigLucy)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 country is divided by counties. A company belongs to a particular zone according to its cartographic location.
- 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.
- ISO
Indicates if the company is certified by the International Organization for Standardization.
- Years
The age of the company.
- Segments
Cartographic segments by county. A segment comprises in average 10 companies located close to each other.
Author(s)
Hugo Andres Gutierrez Rojas hagutierrezro@gmail.com
References
Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros. Editorial Universidad Santo Tomas.
See Also
Examples
data(BigLucy)
attach(BigLucy)
# 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))