CSV Dataset - Temperature - Alexander Bell
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 descriptionThe 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:
- I want to see how countries' temperature anomaly changes over time
- I want to see when big changes affected certain areas of the world
- I want to see which countries are most affected by climate change
- I want to see how countries' weather patterns are affected by the temperature (i.e. rainfall, wind speeds)
- I want to see how certain events affect the temperature over the next period of time (i.e. countries rallying to stop carbon emissions)
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