Business Cycles Analytics¶

From data collected from the St. Louis Federal Reserve API and Statistics Denmark API, this is a JupyterBook of visualizations and time series analyses of key business cycle indicators.

You should be able to see the book at:

https://ckrusemd.github.io/business-cycles-analytics/

from datetime import datetime
import pytz
tz = pytz.timezone('Europe/Copenhagen')
print("Report extracted on " + datetime.now(tz).strftime("%d/%m/%Y %H:%M:%S") + ".")

Report extracted on 10/06/2022 05:48:30.

import IPython
print( IPython.sys_info() )

{'commit_hash': 'b5cd02544',
 'commit_source': 'installation',
 'default_encoding': 'utf-8',
 'ipython_path': '/usr/local/lib/python3.8/dist-packages/IPython',
 'ipython_version': '8.2.0',
 'os_name': 'posix',
 'platform': 'Linux-5.13.0-1025-azure-x86_64-with-glibc2.29',
 'sys_executable': '/usr/bin/python3',
 'sys_platform': 'linux',
 'sys_version': '3.8.10 (default, Mar 15 2022, 12:22:08) \n[GCC 9.4.0]'}