Energy

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✓ Published0🌍 Public

Last edited Jan 30, 2024

Created on Jan 23, 2024

Forked from CSV Dataset Template - Penguins

This visualization displays the first record of an energy consumption dataset as raw JSON in a large monospace font. The code parses a CSV file using a data import statement, converts timestamp and numeric fields with the JavaScript `Date` constructor and unary plus operators, then renders the formatted object with `JSON.stringify` inside a `<pre>` element. The example demonstrates basic data loading and preprocessing from the Energy Consumption Prediction dataset on Kaggle.

AI-generated description

The Energy Consumption Dataset, loaded and parsed as CSV.

We can perform the following analysis on this data:

Examine how energy consumption varies over time (daily, monthly, seasonally, or yearly).

Compare energy consumption across different regions, sectors (residential, commercial, industrial), or types of energy sources (renewable vs. non-renewable).

Identify peak times of energy consumption and understand the factors contributing to these peaks.

MIT Licensed

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