https://github.com/h-fuzzy-logic/data-analytics-spring
Open data and cloud computing to answer the question: Are we losing our spring days?
https://github.com/h-fuzzy-logic/data-analytics-spring
aws-athena aws-glue-crawler aws-s3 jupyter openscience pandas python seaborn
Last synced: 6 months ago
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Open data and cloud computing to answer the question: Are we losing our spring days?
- Host: GitHub
- URL: https://github.com/h-fuzzy-logic/data-analytics-spring
- Owner: h-fuzzy-logic
- Created: 2023-09-09T19:38:11.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-09T19:48:56.000Z (about 2 years ago)
- Last Synced: 2025-02-08T11:14:12.838Z (8 months ago)
- Topics: aws-athena, aws-glue-crawler, aws-s3, jupyter, openscience, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 390 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Analyzing 110 years of Knoxville, Tennessee temperature data
For several years now, I’ve heard acquaintances lament: We don’t have spring anymore. We skip spring and go straight to summer. I miss spring-like temperatures. To see if data supports this belief, I decided to analyze publicly available NOAA weather station data collected from 1910 - 2019 at the Knoxville, TN airport.
# Tools Used
* Data source. NOAA Global Historical Climatology Network Daily (GHCN-D) via [AWS](https://aws.amazon.com/marketplace/pp/prodview-dzppucmwfpuk4)
* Data engineering. AWS S3, Glue Crawler, Athena.
* Data analysis. Jupyter Notebook, Python, pandas, seaborn
# Summary of Findings
* There is evidence to support the perception that summer-like temperatures from April 1 to May 31 have happened more frequently since 2008 in Knoxville, TN.
# Getting Started
* Introduction in notebook contains reason for analysis, the terms used to define the bounds of the problem, and data source details.