UK MET Office Weather Data

Welcome to the UK MET Office Weather Data Challenge!

This challenge revolves around exploring and analyzing the extensive weather datasets collected by the MET Office in the United Kingdom since its establishment in 1854. The objective of this challenge is to utilize these datasets to gain insights into the historical weather patterns and investigate the climate changes that have occurred over the past 150+ years.

Datasets

The dataset provided for this challenge can be found on Kaggle and is titled “UK MET Office Weather Data” by user josephw20. This dataset contains information collected from 36 stations located across the UK, often situated in RAF bases. These stations have been gathering weather-related data, such as temperature, precipitation, wind speed, and more, allowing the MET Office to predict future weather patterns and issue public advice.

Objectives

Your task is to explore this rich dataset and tackle various data visualization challenges. By analyzing the weather data over time, you can uncover trends, anomalies, and patterns that shed light on the changing climate in the UK. Your visualizations should aim to present compelling insights and effectively communicate the findings to a broader audience.

Challenge Guidelines

  • 1. Choose any aspect of the UK MET Office weather data that interests you, such as temperature variations, rainfall patterns, or extreme weather events, to name a few.
  • 2. Create visually appealing and informative data visualizations using the available weather data. You can use any tools or programming languages of your preference.
  • 3. Explore the data to identify and highlight significant trends or changes in weather patterns over the years.
  • 4. Provide annotations, captions, or descriptions with your visualizations to enhance the understanding of your findings.
  • 5. Feel free to combine the weather data with additional datasets, if necessary, to gain deeper insights.
  • 6. Ensure your visualizations are clear, understandable, and insightful for a non-technical audience.
  • 7. The format of your visualisation can be a dashboard or notebook (e.g. excel, tableau, powerbi, jupyter notebook or any other tool of your choice)
  • 8. Submit your visualisation dashboard or notebook here!

Resources

To get started, register for the challenge at the following link.

Additionally, you can refer to various data visualization libraries, such as Matplotlib, Seaborn, or Plotly, and programming languages like Python or R, and app such as Tableau and PowerBI to assist in creating impactful visualizations.

Remember to have fun and be creative in exploring the UK MET Office Weather Data Challenge! Use your data visualization skills to uncover fascinating insights into the changing weather patterns and climate trends in the United Kingdom. Good luck!