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CSV Dataset - Temperature - Alexander Bell

✓ Published0🌍 Public
Aabell@wpi.edu
Last edited Sep 11, 2024
Created on Sep 2, 2024

This example displays the first row of a CSV dataset containing annual temperature anomalies for various countries, parsed with a simple data-loading script. It shows the raw values for a single country in a JSON-like format using a `<pre>` element. The code imports the dataset from `annual-temperature.csv`, converts the `Year` and `Temperature_anomaly` fields to numbers, and renders the first data object as text with a specified font size. No visualization library is used; the example relies on plain JavaScript and HTML.

AI-generated description

The Penguins Dataset, loaded and parsed as CSV.

This dataset simply compares countries of a certain size to the average of a certain time period. This yields a positive or negative number that show whether the country was warmer or cooler than it usually is, which is a good indicator of global climate change over time.

Tasks for this dataset:

  1. I want to see how countries' temperature anomaly changes over time
  2. I want to see when big changes affected certain areas of the world
  3. I want to see which countries are most affected by climate change
  4. I want to see how countries' weather patterns are affected by the temperature (i.e. rainfall, wind speeds)
  5. I want to see how certain events affect the temperature over the next period of time (i.e. countries rallying to stop carbon emissions)
MIT Licensed

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