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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

  • Jupyter Notebook
  • R, ggplot2

Technical Highlights

  • Used R functions to improve readibility
  • Used heatmaps and boxplots for data exploration
  • Used textGrob to customize plot titles
  • Used R if-stop statements to validate data along the way
  • Used readr::read_csv to get data from CSV file

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 2005 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.
  • The data (CSV file) is included in the repo.
  • All required packages are in one cell at the top of the notebook.

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Using R to analyze 100 years of NOAA weather station data.

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