sammo3182 / regioncode Goto Github PK

In the published version, the Chinese title of Xinjiang is incorrect. "**维吾尔自治区" instead.

Building up a pkgdown website for the package.

Given a vector of codes or names, the function can guess which year they matched the most

1. 2area: Converting name/code to regions hua-bei, dong-bei, etc.)
2. 2pinyin：Converting name/codes to pinyin (probably provincial level)

The full name of "Ning Xia" is wrong.

宁夏回族自治州 -> 宁夏回族自治区

library(regioncode)

regioncode(
  data_input = corruption$province_id,
  convert_to = "name",
  year_from = 2019,
  year_to = 1989,
  province = TRUE
)
#> Joining with `by = join_by(prov_scode)`
#>  [1] NA NA NA NA NA NA NA NA NA NA

Also check for convert_to = "code"

In ./data/江西_四川_重庆_西藏.xlsx, some name/sname values contain unrecognized or incorrect characters. For example, in line 46, '1988_name' has value ' 内江市' instead of '内江市‘. Function will return NA because of unrecognized characters.

Adding indicators to identify tiers of cities

1. **城市人口缺失，无法形成citylevlel，补全人口数据
2. **的city一级应该是XX地区（伊宁地区等），**的市是county一级

Converting prefectures and provinces to language zones according to the 1986 or later language data

• Description
• Conduct file
• News
• License
• Readme
• Data documents

Users give a vector of codes and year, the function can return names of the prefecture, codes or names of the prefectures in another given year by choice.

Users can use a vector of complete or incomplete names to and given year to return corresponding codes or codes/names of another given year.

• Figuring out how to publish in JOSS
• Writing the paper out
• Publishing

Achieve the code-name exchange at the provincial level.

The pinyin package did not present Shaanxi correctly.

Scraping administrative region codes from the government webpages (http://www.mca.gov.cn/article/sj/xzqh/2020/) and parse them to structural data automatically with rvest functions.

Some towns were named as prefecturals in Yunan

The example in the vignette shows the wrong results with the new function. The input only has 18947 lines but the output has 21513 lines.

Sometimes, cross-year conversion produces multiple outputs.

> regioncode::regioncode(df_wave1$province_q180, year_from = 1999, convert_to = "area", province = TRUE)
Error in `select()`:
! Can't subset columns that don't exist.
✖ Column `1999` doesn't exist.
Backtrace:
  1. regioncode::regioncode(...)
 12. dplyr:::select.data.frame(region_table, !!ls_index)
 15. tidyselect::eval_select(expr(c(...)), .data)
 16. tidyselect:::eval_select_impl(...)
 25. tidyselect:::vars_select_eval(...)
     ...
 28. tidyselect:::reduce_sels(node, data_mask, context_mask, init = init)
 29. tidyselect:::walk_data_tree(new, data_mask, context_mask)
 30. tidyselect:::as_indices_sel_impl(...)
 31. tidyselect:::as_indices_impl(x, vars, call = call, strict = strict)
 32. tidyselect:::chr_as_locations(x, vars, call = call)

• Fixed the codes
• Release a new version

Simplifying the method to "toCode," "toName," etc. by detecting the input's class (numeric, characters)

There might be a mistake in the region_table. (don't know what "<U+00A0>" stands for)

region_table[408,"2019_name"]
[1] "<U+00A0>成都市"

• When the input is not numeric for methods of code2...
• When tine input is not a class of character for methods of name2...
• When incompleteName is not "none" for methods of ...2code

Preparing the package for the CRAN submission and future plans

didin‘t receive region data of Gansu, Qinghai, Shaanxi, Xinjiang, Hunan, Yunnan, Guizhou, Ningxia.

if I run the example

library(regioncode)

regioncode::regioncode(data_input = corruption$prefecture_id,
                       year_from = 2019,
                       year_to = 1999)

them R told me

Error in regioncode::regioncode(data_input = corruption$prefecture_id, :
object 'corruption' not found

I try to run the example code in help file,

library(regioncode)

regioncode(data_input = corruption$prefecture_id,
           year_from = 2019,
          year_to = 1999)

But it seem to doesn't work. The error message is

Error in regioncode(data_input = corruption$prefecture_id, year_from = 2019, :
object 'corruption' not found

I guess the toy data corruption may not be successfully loaded.

Create a spreadsheet for administrative codes of Chinese prefectural regions from 1986 to 2019. The data frame includes two fixed columns:

~prov_name, ~prov_code

For each year, the data ought to include the following columns:

~<year>_sname, ~<year>_name, ~<year>_code

See the reference from countrycode, dotwhisker, and interplot

Adding a Chinese version

• Report for college and department websites
• Wechat push
• Logo design