knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(techme)
This is whole all variables list of this data base:
data("varsList") head(varsList)
require(techme) #require(tidyverse) #require(purrr) require(knitr) library(magrittr) library(dplyr) data("varsList") data("BasicProvince") data("queryTianyan") data("ProvinceCity")
varsList
:A data set containing all variables and additional information, such as unit, chn_name, eng_name etc., with wide data format.
Totally r dim(varsList)[2]
columns including: r paste0(names(varsList), collapse =", ")
.
Totally r dim(varsList)[1]
rows.
varsList %>% sample_n(size = 10) %>% kable()
BasicProvince
:A data set containing basic information of province and its region, with wide data format.
Totally r dim(BasicProvince)[2]
columns including: r paste0(names(BasicProvince), collapse =", ")
.
Totally r dim(BasicProvince)[1]
rows.
BasicProvince %>% sample_n(size = 10) %>% kable()
ProvinceCity
:A data set containing Province and City of china.
Totally r dim(ProvinceCity)[2]
columns including: r paste0(names(ProvinceCity), collapse =", ")
.
Totally r dim(ProvinceCity)[1]
rows.
ProvinceCity %>% sample_n(size = 10) %>% kable()
queryTianyan
:A data set containing basic info of institution enrolled in officer administrator.
Totally r dim(queryTianyan)[2]
columns including: r paste0(names(queryTianyan), collapse =", ")
.
Totally r dim(queryTianyan)[1]
rows.
queryTianyan %>% sample_n(size = 10) %>% kable()
data("AgriMachine") data("AgriFertilizer") data("AgriPlastic") data("AgriPesticide")
AgriMachine
:A long format data set containing Agricultural Machine statistics .
Totally r dim(AgriMachine)[2]
columns including: r paste0(names(AgriMachine), collapse =", ")
.
Totally r dim(AgriMachine)[1]
rows.
Years range from r min(AgriMachine$year)
to r max(AgriMachine$year)
Variables including: r paste0(sort(unique(AgriMachine$variables)), collapse =", ")
AgriMachine %>% sample_n(size = 10) %>% kable()
AgriFertilizer
:A long format data set containing Agricultural Fertilizer statistics .
Totally r dim(AgriFertilizer)[2]
columns including: r paste0(names(AgriFertilizer), collapse =", ")
.
Totally r dim(AgriFertilizer)[1]
rows.
Years range from r min(AgriFertilizer$year)
to r max(AgriFertilizer$year)
Variables including: r paste0(sort(unique(AgriFertilizer$variables)), collapse =", ")
AgriFertilizer %>% sample_n(size = 10) %>% kable()
AgriPlastic
:A long format data set containing Agricultural Plastic statistics .
Totally r dim(AgriPlastic)[2]
columns including: r paste0(names(AgriPlastic), collapse =", ")
.
Totally r dim(AgriPlastic)[1]
rows.
Years range from r min(AgriPlastic$year)
to r max(AgriPlastic$year)
Variables including: r paste0(sort(unique(AgriPlastic$variables)), collapse =", ")
AgriPlastic %>% sample_n(size = 10) %>% kable()
AgriPesticide
:A long format data set containing Agricultural Pesticide statistics .
Totally r dim(AgriPesticide)[2]
columns including: r paste0(names(AgriPesticide), collapse =", ")
.
Totally r dim(AgriPesticide)[1]
rows.
Years range from r min(AgriPesticide$year)
to r max(AgriPesticide$year)
Variables including: r paste0(sort(unique(AgriPesticide$variables)), collapse =", ")
AgriPesticide %>% sample_n(size = 10) %>% kable()
# data("RDIntense") from public site data("RDActivity") data("IndustryOperation") data("IndustryRD") data("IndustryTrade") data("MarketPull") data("MarketPush")
来自于中国政府网历年“全国科技经费投入统计公报”:
说明:《中国科技统计年鉴》也有数据发布,但是把经费和强度指标分别存放了,不符合本数据包的更新流程。
RDIntense
:A long format data set containing R&D Intense statistics.
Totally r dim(RDIntense)[2]
columns including: r paste0(names(RDIntense), collapse =", ")
.
Totally r dim(RDIntense)[1]
rows.
Years range from r min(RDIntense$year)
to r max(RDIntense$year)
Variables including: r paste0(sort(unique(RDIntense$variables)), collapse =", ")
RDIntense %>% sample_n(size = 10) %>% kable()
RDActivity
:A long format data set containing R&D Activity statistics .
Totally r dim(RDActivity)[2]
columns including: r paste0(names(RDActivity), collapse =", ")
.
Totally r dim(RDActivity)[1]
rows.
Years range from r min(RDActivity$year)
to r max(RDActivity$year)
Variables including: r paste0(sort(unique(RDActivity$variables)), collapse =", ")
RDActivity %>% sample_n(size = 10) %>% kable()
IndustryOperation
:A long format data set containing Industry Operation statistics .
Totally r dim(IndustryOperation)[2]
columns including: r paste0(names(IndustryOperation), collapse =", ")
.
Totally r dim(IndustryOperation)[1]
rows.
Years range from r min(IndustryOperation$year)
to r max(IndustryOperation$year)
Variables including: r paste0(sort(unique(IndustryOperation$variables)), collapse =", ")
IndustryOperation %>% sample_n(size = 10) %>% kable()
IndustryRD
:A long format data set containing Industry R&D statistics .
Totally r dim(IndustryRD)[2]
columns including: r paste0(names(IndustryRD), collapse =", ")
.
Totally r dim(IndustryRD)[1]
rows.
Years range from r min(IndustryRD$year)
to r max(IndustryRD$year)
Variables including: r paste0(sort(unique(IndustryRD$variables)), collapse =", ")
IndustryRD %>% sample_n(size = 10) %>% kable()
MarketPull
:A long format data set containing Tech Market Pull statistics .
说明:数据包括合同数(
amount-xxxx.xlsx
)和金额(funds-xxxx.xlsx
)两个表格来源,需要独立更新全部xlsx后,再读取整合为一个数据表。
Totally r dim(MarketPull)[2]
columns including: r paste0(names(MarketPull), collapse =", ")
.
Totally r dim(MarketPull)[1]
rows.
Years range from r min(MarketPull$year)
to r max(MarketPull$year)
Variables including: r paste0(sort(unique(MarketPull$variables)), collapse =", ")
MarketPull %>% sample_n(size = 10) %>% kable()
MarketPush
:A long format data set containing Tech Market Push statistics .
说明:数据包括合同数(
amount-xxxx.xlsx
)和金额(funds-xxxx.xlsx
)两个表格来源,需要独立更新全部xlsx后,再读取整合为一个数据表。
Totally r dim(MarketPush)[2]
columns including: r paste0(names(MarketPush), collapse =", ")
.
Totally r dim(MarketPush)[1]
rows.
Years range from r min(MarketPush$year)
to r max(MarketPush$year)
Variables including: r paste0(sort(unique(MarketPush$variables)), collapse =", ")
MarketPush %>% sample_n(size = 10) %>% kable()
IndustryTrade
:A long format data set containing Industry Trade statistics .
说明:2018年以后年鉴不再发布该数据!
Totally r dim(IndustryTrade)[2]
columns including: r paste0(names(IndustryTrade), collapse =", ")
.
Totally r dim(IndustryTrade)[1]
rows.
Years range from r min(IndustryTrade$year)
to r max(IndustryTrade$year)
Variables including: r paste0(sort(unique(IndustryTrade$variables)), collapse =", ")
IndustryTrade %>% sample_n(size = 10) %>% kable()
data("PublicBudget")
PublicBudget
:A long format data set containing Public Budget statistics.
说明:来源于《中国统计年鉴》,表7-6 分地区一般公共预算支出。我们只整理更新如下列变量:"地方一般公共预算支出","教育支出","科学技术支出","农林水支出"。
Totally r dim(PublicBudget)[2]
columns including: r paste0(names(PublicBudget), collapse =", ")
.
Totally r dim(PublicBudget)[1]
rows.
Years range from r min(PublicBudget$year)
to r max(PublicBudget$year)
Variables including: r paste0(sort(unique(PublicBudget$variables)), collapse =", ")
data("PublicBudget") PublicBudget %>% sample_n(size = 10) %>% kable()
LivestockBreeding
:A long format data set containing Livestock Breeding statistics.
Totally r dim(LivestockBreeding)[2]
columns including: r paste0(names(LivestockBreeding), collapse =", ")
.
Totally r dim(LivestockBreeding)[1]
rows.
Years range from r min(LivestockBreeding$year)
to r max(LivestockBreeding$year)
Variables including: r paste0(head(sort(unique(LivestockBreeding$variables)),20), collapse =", ")
(top 20 of totally r glue::glue("{length(unique(LivestockBreeding$variables))} variables")
.
data("LivestockBreeding") LivestockBreeding %>% sample_n(size = 10) %>% kable()
Several data set sources from Ministry of Sci-Tech (MOST).
data("PubNKRDP") data("PubAgriParkList") data("PubAgriParkEval")
PubNKRDP
:A wide format data set containing Details of National Key R&D Plans(NKRDP) statistics.
Totally r dim(PubNKRDP)[2]
columns including: r paste0(names(PubNKRDP), collapse =", ")
.
Totally r dim(PubNKRDP)[1]
rows.
Years range from r min(PubNKRDP$year)
to r max(PubNKRDP$year)
PubNKRDP %>% sample_n(size = 10) %>% kable()
说明:本数据集直接在
techme
包开发环境下进行原始数据(data-raw)的清洗和整理("techme/data-raw/public-site/agri-park/03-list-raw/");然后清洗后的xlsx文件复制到("techme/data-raw/data-tidy/public-site/agri-park/xlsx/"),最后再经由"techme/data-raw/wfl_useData_agriPark.R"进行批量读取和数据集编译。
PubAgriParkList
:A wide format data set containing Details of Approved List of National Agricultural Sci-tech Park.
Totally r dim(PubAgriParkList)[2]
columns including: r paste0(names(PubAgriParkList), collapse =", ")
.
Totally r dim(PubAgriParkList)[1]
rows.
Years (Batch) range from r min(PubAgriParkList$batch)
to r max(PubAgriParkList$batch)
PubAgriParkList %>% sample_n(size = 10) %>% kable()
说明:本数据集直接在
techme
包开发环境下进行原始数据(data-raw)的清洗和整理("techme/data-raw/public-site/agri-park/02-eval-raw/");然后清洗后的xlsx文件复制到("techme/data-raw/data-tidy/public-site/agri-park/xlsx/"),最后再经由"techme/data-raw/wfl_useData_agriPark.R"进行批量读取和数据集编译。
PubAgriParkEval
:A wide format data set containing Details of Evaluation result of National Agricultural Sci-tech Park.
Totally r dim(PubAgriParkEval)[2]
columns including: r paste0(names(PubAgriParkEval), collapse =", ")
.
Totally r dim(PubAgriParkEval)[1]
rows.
Years range from r min(PubAgriParkEval$year)
to r max(PubAgriParkEval$year)
PubAgriParkEval %>% sample_n(size = 10) %>% kable()
说明:本数据集直接在
techme
包开发环境下进行原始数据(data-raw)的清洗和整理("techme/data-raw/public-site/agri-park/01-check-raw/");然后清洗后的xlsx文件复制到("techme/data-raw/data-tidy/public-site/agri-park/xlsx/"),最后再经由"techme/data-raw/wfl_useData_agriPark.R"进行批量读取和数据集编译。
PubAgriParkCheck
:A wide format data set containing Details of Check result of National Agricultural Sci-tech Park.
Totally r dim(PubAgriParkCheck)[2]
columns including: r paste0(names(PubAgriParkCheck), collapse =", ")
.
Totally r dim(PubAgriParkCheck)[1]
rows.
Years range from r min(PubAgriParkCheck$year)
to r max(PubAgriParkCheck$year)
PubAgriParkCheck %>% sample_n(size = 10) %>% kable()
数据来源:科学技术部火炬高技术产业开发中心http://www.innocom.gov.cn。
说明:本数据集直接在tech-report
项目下进行原始数据(data-raw)的清洗和整理("tech-report/data-raw/public-site/torch-innocom/xlsx/");然后清洗后的xlsx文件复制到("tech-report/data-raw/data-tidy/public-site/torch-innocom/xlsx/")。最后再一次复制到techme
包开发环境下的"techme/data-raw/data-tidy/public-site/torch-innocom/xlsx/",再经由"techme/data-raw/wfl_useData_HitechFirms.R"进行批量读取和数据集编译。
HitechFirmsPub
:A wide format data set containing Details of Hi-tech Firms Numbers on Public Site.
Totally r dim(HitechFirmsPub)[2]
columns including: r paste0(names(HitechFirmsPub), collapse =", ")
.
Totally r dim(HitechFirmsPub)[1]
rows.
Years range from r min(HitechFirmsPub$year)
to r max(HitechFirmsPub$year)
HitechFirmsPub %>% sample_n(size = 10) %>% kable()
data("PubObsStation")
Several data set sources from Ministry of Agriculture (MOA) or Ministry of Education (MOE).
PubObsStation
:A wide format data set containing Details of Evaluation result of National Agricultural Sci-tech Details list of Observe Stations of MOA and MOE.
Totally r dim(PubObsStation)[2]
columns including: r paste0(names(PubObsStation), collapse =", ")
.
Totally r dim(PubObsStation)[1]
rows.
Years range from r min(PubObsStation$year)
to r max(PubObsStation$year)
data("PubCars")
PubCars
:A wide format data set containing Details of China Agricultural Research System(CARS) from MOA.
Totally r dim(PubCars)[2]
columns including: r paste0(names(PubCars), collapse =", ")
.
Totally r dim(PubCars)[1]
rows.
Years range from r min(PubCars$year)
to r max(PubCars$year)
PubObsStation %>% sample_n(size = 10) %>% kable()
data("PubBreedingXmj")
PubBreedingXmj
:A wide format data set containing details of Officer' Livestock Breeding List from MOA (Xmj).
Totally r dim(PubBreedingXmj)[2]
columns including: r paste0(names(PubBreedingXmj), collapse =", ")
.
Totally r dim(PubBreedingXmj)[1]
rows.
Years range from r min(PubBreedingXmj$year)
to r max(PubBreedingXmj$year)
PubBreedingXmj %>% sample_n(size = 10) %>% kable()
data("PubStandardXmj")
PubStandardXmj
:A wide format data set containing details of Officer' Livestock Breeding List from MOA (Xmj).
Totally r dim(PubStandardXmj)[2]
columns including: r paste0(names(PubStandardXmj), collapse =", ")
.
Totally r dim(PubStandardXmj)[1]
rows.
Years range from r min(PubStandardXmj$year)
to r max(PubStandardXmj$year)
PubStandardXmj %>% sample_n(size = 10) %>% kable()
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