# Run Test code
require(tidyverse)
# Source in file information.
source(here::here("R/qualify.R"))
# Manual build of the data entries
qualify(project_name = "test_db",
project_path = "~/Desktop/test_project",
unit_of_analysis = c("aa","bb","c3","d")) %>%
generate_module(variable_name = "var_1",
caption = "This is something",
evidence = field_text(rich=T),
publication_date = field_date(),
code = field_dropdown(c(1,2,3,4))) %>%
generate_module(variable_name = "variable_2",
caption = "Another variable",
evid = field_text(),
date = field_date(),
code = field_dropdown(c(1,2,3,4))) %>%
generate_module(variable_name = "Violent Deaths",
caption = "Another variable",
count = field_dropdown(c("0-100","100-500","500 +")),
date = field_date()) %>%
generate_app()
# Dropping any existing data structure
qualify() %>%
drop_module("var_1") %>%
drop_module("variable_2") %>%
drop_module("Violent Deaths")
# Looking into the database...
qualify() %>%
{sql_instance(.$project_path)} %>%
tbl(".input_state") %>%
collect()
qualify() %>%
{sql_instance(.$project_path)} %>%
tbl(".unit")
qualify() %>%
{sql_instance(.$project_path)} %>%
tbl("v1") %>%
collect()
# Posterior functions -----------------------------------------------------
# Pull timeline of data entries
pull_timeline("~/Desktop/test_project/",round_date = "second")
# Various time dates work
pull_timeline("~/Desktop/test_project/",round_date = "minute")
pull_timeline("~/Desktop/test_project/",round_date = "month")
# Curation example: plotting contributions
pull_timeline("~/Desktop/test_project/",round_date = "hour") %>%
ggplot(aes(timestamp,n,fill=variable)) +
geom_col(position = "dodge")
# Pull workable data frame from existing project
pull_data("~/Desktop/test_project/")
# Curation example: converting output into a usable data object.
pull_data("~/Desktop/test_project/") %>%
select(country = .unit, variable,code) %>%
mutate(code = as.numeric(code)) %>%
spread(variable,code,fill = 0)
# Example data for R & K
bind_rows(
pull_data("~/Desktop/test_project/") %>%
mutate(.user = "eric") %>%
select(.user,everything()),
pull_data("~/Desktop/test_project/") %>%
mutate(.user = "Rebecca") %>%
select(.user,everything())
) %>%
write_csv(.,"Data/example_pull_data_w_2users.csv")
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