| Title: | Databases Used Routinely by the Brazilian Jurimetrics Association |
| Version: | 1.1.2 |
| 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. |
| Depends: | R (≥ 3.3.1) |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| URL: | https://abjur.github.io/abjData/ |
| RoxygenNote: | 7.2.0 |
| LazyDataCompression: | xz |
| NeedsCompilation: | no |
| Packaged: | 2022-06-14 00:23:12 UTC; julio |
| Author: | Julio Trecenti 
[aut, cre],
Renata Hirota [ctb],
Katerine Witkoski
[aut],
Associação Brasileira de Jurimetria [cph, fnd] |
| Maintainer: | Julio Trecenti <julio.trecenti@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2022-06-15 07:20:05 UTC |
Case types
Description
A dataset contains information about case types in Brazil.
Usage
assuntos
Format
a data frame with 37022 lines and 15 variables.
- tribunal
indicates which court is concerned
- ano
subject year
- assunto_nome1
first branch
- assunto_nome2
second branch
- assunto_nome3
third branch
- assunto_nome4
fourth branch
- assunto_nome5
fifth branch
- assunto_nome6
sixth branch
- generico
generic code
- codigo
code related to the subject
- x1_grau
number of cases in first instance
- x2_grau
number of cases in second instance
- juizado_especial
number of cases in the special court
- turma_recursal
number of cases in the special class
- total
total cases
Source
Examples
summary(assuntos)
Municipality info (legacy)
Description
A dataset containing the municipality codes. The database is outdated, as it does not consider all municipalities.
Usage
cadmun
Format
a data frame with 5657 rows and 35 variables:
- description
set of codes of the municipalities and their situation, containing information about border, Amazon, capital, longitude, latitude, among others
Source
IBGE
Examples
summary(cadmun)
Consumer cases
Description
Retrospective basis to use in book examples.
Usage
consumo
Format
a data frame with 1000 rows and 9 columns.
- id_processo
case identifier number (appeal)
- assunto
type of the case
- comarca
municipality of the case
- valor
value of cause
- tipo_litigio
configuration of the parties to the dispute
- dec_val
second instance decision
- dec_unanime
unanimity
- dec_date
decision date
- tempo
case time in days
Source
Examples
summary(consumo)
Auctions
Description
Auctions sample dataset used in our book.
Usage
leiloes
Format
a data frame with 1000 rows and 10 columns.
- id_processo
case identifier number
- descricao
item description
- id_leiloeiro
Auctioneer ID
- tipo_remuneracao
Auctioneer compensation type
- modalidade
auction mode
- tipo
auction type
- data_edital
auction date
- vendeu
was the item sold?
- valor_avaliacao_inicial
appraised value
- valor_total_arrematado
auctioned value
Source
Examples
summary(leiloes)
Municipality info
Description
A dataset containing useful data for joining with city datasets, such as city codes, acronyms of the federative units and regions.
Usage
muni
Format
a data frame with 5572 rows and 17 columns:
- muni_id
IBGE code (7 digits)
- muni_id_6
IBGE code (6 digits)
- muni_nm
Municipality name (original IBGE)
- muni_nm_clean
Clean municipality name (without accents, upper case)
- uf_nm
Name of the original federative unit
- uf_sigla
Federative unit initials
- uf_id
code of IBGE federative unit
- regiao_nm
region name
- tse_id
municipality TSE code
- rf_id
Brazilian Federal Revenue code of the municipality
- bcb_id
Central Bank of Brazil code of the municipality
- existia_1991
1 if municipality existed in 1991, 0 otherwise
- existia_2000
1 if municipality existed in 2000, 0 otherwise
- existia_2010
1 if municipality existed in 2010, 0 otherwise
- lon
longitude based on shapefile centroid
- lat
latitude based on shapefile centroid
- capital
TRUE if federative unit is a capital, FALSE otherwise
Source
Municipalities dataset enriched with external data.
Examples
summary(muni)
UNDP minimal dataset
Description
A dataset that contains UNDP information for municipalities by years.
Usage
pnud_min
Format
a data frame with 16686 rows and 15 columns.
- ano
for more information, check
pnud_siglas
Source
Examples
summary(pnud_min)
UNDP data by Municipality
Description
A dataset that contains information about UNDP for municipalities and federative units.
Usage
pnud_muni
Format
a data frame with 16695 rows and 124 columns.
Considered the year municipality observational unit.
- id
for more information, check
pnud_siglas
Source
summary(pnud_muni)
UNDP Acronyms
Description
A dataset that serves as a glossary of available variables.
Usage
pnud_siglas
Format
a data frame with 236 rows e 4 columns:
- sigla
all acronyms available
- nome_curto
short name of the variable
- nome_longo
long name of the variable
- definicao
definition of acronym
Source
Examples
summary(pnud_siglas)
UNDP data by Federative Units
Description
A dataset that contains information about UNDP of Federative Units.
Usage
pnud_uf
Format
a data frame with 81 rows e 235 columns.
- ano
for more information, check
pnud_siglas
Source
https://www.br.undp.org/content/brazil/pt/home/idh0/rankings/idhm-uf-2010.html
Examples
summary(pnud_uf)