GitHub / kanishkan91 / Python-DataUpdate-DataProcessor-kbn
The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.
Stars: 15
Forks: 8
Open issues: 0
License: None
Language: Python
Size: 1.32 GB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: about 1 year ago
Pushed at: over 5 years ago
Last synced at: 11 months ago
Commit Stats
Commits: 20
Authors: 1
Mean commits per author: 20.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/kanishkan91/Python-DataUpdate-DataProcessor-kbn
Topics: aquastat, concordance, data, dataprocessing, datascraping, eia, fao, ihme, imf, indexing, python, uis, wdi