,
Renata Hirota [ctb],
Katerine Witkoski [aut] ,
Associação Brasileira de Jurimetria [cph, fnd]| Title: | Databases Used Routinely by the Brazilian Jurimetrics Association |
|---|---|
| Description: | The Brazilian Jurimetrics Association (ABJ in Portuguese, see <https://abj.org.br/> for more information) is a non-profit organization which aims to investigate and promote the use of statistics and probability in the study of Law and its institutions. This package has a set of datasets commonly used in our book. |
| Authors: | Julio Trecenti [aut, cre] ,
Renata Hirota [ctb],
Katerine Witkoski [aut] ,
Associação Brasileira de Jurimetria [cph, fnd] |
| Maintainer: | Julio Trecenti <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 1.1.2.9000 |
| Built: | 2024-11-01 05:54:43 UTC |
| Source: | https://github.com/abjur/abjdata |
A dataset contains information about case types in Brazil.
assuntosassuntos
a data frame with 37022 lines and 15 variables.
indicates which court is concerned
subject year
first branch
second branch
third branch
fourth branch
fifth branch
sixth branch
generic code
code related to the subject
number of cases in first instance
number of cases in second instance
number of cases in the special court
number of cases in the special class
total cases
summary(assuntos)summary(assuntos)
A dataset containing the municipality codes. The database is outdated, as it does not consider all municipalities.
cadmuncadmun
a data frame with 5657 rows and 35 variables:
set of codes of the municipalities and their situation, containing information about border, Amazon, capital, longitude, latitude, among others
IBGE
summary(cadmun)summary(cadmun)
Retrospective basis to use in book examples.
consumoconsumo
a data frame with 1000 rows and 9 columns.
case identifier number (appeal)
type of the case
municipality of the case
value of cause
configuration of the parties to the dispute
second instance decision
unanimity
decision date
case time in days
summary(consumo)summary(consumo)
Auctions sample dataset used in our book.
leiloesleiloes
a data frame with 1000 rows and 10 columns.
case identifier number
item description
Auctioneer ID
Auctioneer compensation type
auction mode
auction type
auction date
was the item sold?
appraised value
auctioned value
summary(leiloes)summary(leiloes)
Litigation data from Brazil.
litigiosidadelitigiosidade
a data frame with 1000 rows and 10 columns.
Type of justice
Year
State acronym
Closed cases
New cases
Pending cases
State Human Development Index
Illiteracy rate
Per capita income
population
https://abjur.shinyapps.io/obsCIEE/
summary(litigiosidade)summary(litigiosidade)
A dataset containing useful data for joining with city datasets, such as city codes, acronyms of the federative units and regions.
munimuni
a data frame with 5572 rows and 17 columns:
IBGE code (7 digits)
IBGE code (6 digits)
Municipality name (original IBGE)
Clean municipality name (without accents, upper case)
Name of the original federative unit
Federative unit initials
code of IBGE federative unit
region name
municipality TSE code
Brazilian Federal Revenue code of the municipality
Central Bank of Brazil code of the municipality
1 if municipality existed in 1991, 0 otherwise
1 if municipality existed in 2000, 0 otherwise
1 if municipality existed in 2010, 0 otherwise
longitude based on shapefile centroid
latitude based on shapefile centroid
TRUE if federative unit is a capital, FALSE otherwise
Municipalities dataset enriched with external data.
summary(muni)summary(muni)
A dataset that contains UNDP information for municipalities by years.
pnud_minpnud_min
a data frame with 16686 rows and 15 columns.
for more information, check pnud_siglas
summary(pnud_min)summary(pnud_min)
A dataset that contains information about UNDP for municipalities and federative units.
pnud_munipnud_muni
a data frame with 16695 rows and 124 columns.
Considered the year municipality observational unit.
for more information, check pnud_siglas
summary(pnud_muni)
A dataset that serves as a glossary of available variables.
pnud_siglaspnud_siglas
a data frame with 236 rows e 4 columns:
all acronyms available
short name of the variable
long name of the variable
definition of acronym
summary(pnud_siglas)summary(pnud_siglas)
A dataset that contains information about UNDP of Federative Units.
pnud_ufpnud_uf
a data frame with 81 rows e 235 columns.
for more information, check pnud_siglas
https://www.br.undp.org/content/brazil/pt/home/idh0/rankings/idhm-uf-2010.html
summary(pnud_uf)summary(pnud_uf)