Set of visualization to analyze Brazil's labour accident data.

Luciana Brito 6d0b8089a3 projection_summary: use large sample size for parset		%!s(int64=5) %!d(string=hai) anos
app	b44779dd81 parallel sets: make some changes to data generation and use	%!s(int64=5) %!d(string=hai) anos
docs	57b1caa6d4 add considerations on the classifications of Agente Causador, CNAE, CBO, and Parte do Corpo Atingida	%!s(int64=5) %!d(string=hai) anos
scripts	6d0b8089a3 projection_summary: use large sample size for parset	%!s(int64=5) %!d(string=hai) anos
.gitignore	eff394eafa Ignore R object format '.rds'	%!s(int64=6) %!d(string=hai) anos
README.org	ee0cdcd5d5 Add a bit of explanation to the coding style	%!s(int64=6) %!d(string=hai) anos

Repositório de códigos do aplicativo do MPT

Coding Style

R

File names end in ".R"
Maximum line length is 80 columns
Function names are camelCase
Variables names are separated by " " like_this
Put spaces around binary operators, but not parenthesis. e.g: (3 + 4)
Use space after commas. e.g: func(arg1, arg2)
Indentation is 4 spaces, no tabs.
Opening braces go at end of line, closing go on a line by itself.
Above instructions(for R) also apply here
Every visualization go in a different ".js" file
Use different, representative, variable names for each visualization.
Each graph goes in an specific div, named like "var_name_area".
Each "js" file has a different customMessageHandler type, named like "var_name_values".