semio / ddf--gapminder--gapminder_world

ddf--gapminder_world

The purpose of this dataset

To integrate data from the Legacy dataset of Gapminder World into the new Systema Globalis

source

1. concept file
   • all measure types except those from dont-panic-poverty data set: https://docs.google.com/spreadsheets/d/192pjt2vtwAQzi154LJ3Eb5RF8W9Fx3ZAiUZy-zXgyJo/edit#gid=3
   • dont-panic-poverty data set: don't have a concept file, extract the concepts from its data point file.
2. entities
   • country properities: There are 2 source files
     • https://github.com/Gapminder/waffle-server-importers-exporters/blob/world-legacy-with-data/data/synonym/country_synonyms.xlsx
     • https://github.com/open-numbers/ddf--gapminder--systema_globalis/blob/newdefinition/ddf--entities--geo--country.csv
     • Note: the country ids are not consistent in 2 files. use the ones in systema globalis
   • country groupings:
     • https://github.com/Gapminder/waffle-server-importers-exporters/blob/world-legacy-with-data/data/out/gw/meta/area_categorizarion.json
     • world_4region: https://github.com/open-numbers/ddf--gapminder--systema_globalis/blob/newdefinition/ddf--entities--geo--world_4region.csv
3. datapoints
   • all mesure types except those from dont-panic-poverty data set:
     • each file represents one indicator in this folder: https://github.com/Gapminder/waffle-server-importers-exporters/tree/world-legacy-with-data/data/out/gw/indicators
     • the indicator names corresponded to file names: https://github.com/Gapminder/waffle-server-importers-exporters/blob/world-legacy-with-data/data/out/gw/meta/quantities.json
   • dont-panic-poverty data set: https://github.com/Gapminder/vizabi/blob/develop/.data/waffles/dont-panic-poverty.csv
4. metadata and translation file from vizabi
   • metadata: https://github.com/Gapminder/vizabi/blob/develop/.data/waffles/metadata.json
   • en.json: https://github.com/Gapminder/vizabi/blob/develop/.data/translation/en.json

How to run the script

• change the symlink of indicators dir to your local copy of indicators dir

• go to script dir and run update.py to update other source files. Before you run the script please fill in the token string in line 11.

  cd script
  python update.py
  

• run main.py to generate files. you can choose which files you want to create: all, entities, concepts, datapoints, enjson, metadata

  $ python main.py all  # all ddf files and en.json and metadata.json
  $ python main.py entities  # only entities will be created
  $ python main.py concepts datapoints  # create countries and datapoints
  

only python 3 is tested for now, will do more testing soon.

Implementation Notes

• concept properties of indicators (all measure types):
  • name should be ddf_name from source file
  • unit should be ddf_unit from source file
  • description should be tooltip from source file
  • interpolation should be interpolation from source file
  • scales should be based on scale from source file:
    • If scale = lin: ["linear", "log"]
    • If scale = log: ["log", "linear"]
    • If undefined: ["linear", "log"] (don’t leave empty!)
• Metadata.json and en.json
  • metadata.json is build from scratch using the source data
  • en.json is updated base on the source en.json and graph_settings spreadsheet.