Skip to content

Latest commit

 

History

History
51 lines (44 loc) · 2.62 KB

README.md

File metadata and controls

51 lines (44 loc) · 2.62 KB

ipcc-countries

Database of countries member of the Intergovernmental Panel on Climate Change

Folder Hierarchy

  • sources - data sources, grouped by origin

    • example.tld - each source is identified by corresponding domain name
      • dataset - each data set, optionally prefixed by the year of publication
        • step1, step2,... - one folder for each step to acquire the data, extract it from the source document and transform the data into CSV
        • source document (e.g. PDF, HTML or XML)
        • data.csv - data extracted from the source, in a structure and format close to the original source to facilitate the comparison
        • data - optionally, one folder for "attached files" downloaded from URLs described in the data. The relative path to these files is given in an extra column of data.csv.
        • meta.txt - metadata which describes the origin of the document, with annotations in 'key: value' format (one per line), optionally ending with an empty line and a multi-line 'description:' field.
  • database - database with data aggregated, refined and cross-checked

    • step1, step2,... - one folder for each step to aggregate the data from data sources, to refine it and cross-check it, and to export each database table as a CSV file, and the database schema as a picture
    • data - folder for "attached" files: country flags in CSV format
    • *.csv - selection of database views in CSV format
    • database.sql - full sqlite database in SQL format; can be loaded in sqlite3 with '.read database.sql'
    • database.png - diagram of database (entity/relationships)
  • visualizations - data visualizations, grouped by question

    • what, where, when... - one folder for each question asked
      • step1, step2,... - one folder for each step to query the database and export results in the format used in the data visualization (e.g. HTML, CSV or JSON)
      • data visualization (e.g. HTML or Open Document Spreadsheet) which answers the question visually

Online Visualizations