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data-analytics-spring's Introduction

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
  • 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.

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