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Machine-readable datafeeds for economic data are growing (FRED, quandl, OECD, World Bank, EIA). Please take a minute to fill our poll about economics datasources and see the results.
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However, some data is still left in the dark. Russian macroeconomic statistics seems very fragmented (HTML, Word, Excel are common dessimination formats). This is a roadblock to reproducible analysis as dirty data escalates costs of model maintenance.
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mini-kep
aims to remove this roadblock by providing public API for Russian macroeconomic data and examples of economic research/business planning/marketing problems solved in python pandas or R.
We assume an end user has some experience with data from FRED or quandl.
The user wants:
- a clean dataset with latest data from different sources
- browse what data is available
- read this data on a local machine:
- as pd.DataFrame
- as R dataframe
- quickly draw some charts like one below:
More on user case here.