Hi, I'm Evgeniy Pogrebnyak, an economist and open data enthusiast. Below I list several datasets and codebooks that I maintain.
Drop me a line or tweet with any questions.
| Name | Content | Years | Github |
|---|---|---|---|
| boo | Russian firms annual financial statements | 2012-2018 | |
| weo | World Economic Outlook releases as pandas dataframes | 2007+ | |
| ssg | Static site generators popularity on Github | 2021 |
Rosstat published Russian corporate reports as open-source datasets
in 2012-2018, but without metadata. The boo package knows where to
download dataset from, assign variable names to columns and clean some erroneous rows.
There you get access to financial statements of 2.5 million Russian firms.
IMF World Economic Ooutlook is an established source for country macroeconomic forecasts
and historic statistics, but has no interface for immediate use in Python pandas. weo
package allows to download WEO releases by year and month and transform the dataset by choosing
a country, variable or a year.
Is Hugo or Jekyll the most popular tool to generate a static blog? One obvious way is to look at the Github stars. But the stars can tell you more than top performers ranking: the stories of community building, competition and progress with web authoring tools.
The dataset is provided as a CSV file at stable URL so that you can easily download it, Python script to regenerate the file and a streamlit application to explore t