five

Population and GDP/GNI/CO2 emissions

收藏
DataCite Commons2023-02-13 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/Population_and_GDP_GNI_CO2_emissions/22085060/1
下载链接
链接失效反馈
官方服务:
资源简介:
This Year-2019 dataset was downloaded from the World Bank Databank by the following approach. <br> date: 2022-07-23 <br> source: https://databank.worldbank.org/reports.aspx?source=2&amp;series=NY.GNP.ATLS.CD&amp;country=# <br> Variables <br> Database -&gt; World Development Indicators <br> Country -&gt; Selected 266 (Available 266) <br> Series -&gt; "CO2 emissions (kt)", "GDP (current US$)", "GNI, Atlas method (current US$)", and "Population, total" <br> Time -&gt; 1960, 1970, 1980, 1990, 2000, 2010, 2017, 2018, 2019, 2020, 2021 <br> Layout: -&gt; Custom -&gt; Time: Column, Country: Row, Series: Column <br> Download options: -&gt; Excel (Data update: July 20, 2022) <br> ** Preprocessing ** <br> With libreoffice to (1) Save the data sheet to a CSV file data-20220720.csv and operate on it in the following. (2) Keep only countries by removing lines after Zimbabwe. (3) Shorten column names for easy processing Country Name -&gt; Country Country Code -&gt; Code "XXXX ... GNI ..." -&gt; GNI_1990, etc (notice '_', not '-', for R). (4) Remove unnesssary rows after Zimbabwe <br> Save it to a CSV with separator '|' and no " for text for possible handling by awk (some countries have a comma in its name).
提供机构:
figshare
创建时间:
2023-02-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作