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https://github.com/fearless-spider/stooq-dax-seasonal
Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.
https://github.com/fearless-spider/stooq-dax-seasonal
numpy pandas python statistics
Last synced: about 1 month ago
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Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.
- Host: GitHub
- URL: https://github.com/fearless-spider/stooq-dax-seasonal
- Owner: fearless-spider
- Created: 2021-08-22T20:46:18.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2021-08-22T20:50:17.000Z (over 3 years ago)
- Last Synced: 2024-10-25T08:10:21.708Z (3 months ago)
- Topics: numpy, pandas, python, statistics
- Language: Python
- Homepage:
- Size: 2.93 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.