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Loading and Parsing: Honey Production in the United States Dataset (CS 573 Assignment #7.X)

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AAlex Pietrick
Last edited Oct 15, 2021
Created on Oct 15, 2021

This example demonstrates the first step of visualizing the Honey Production in the USA dataset by loading and parsing its CSV file. It displays the file’s size in kilobytes, row count, and column count in a large pre-formatted text element. The code uses D3 v5’s `d3.csv` method to fetch and parse the data, and `d3.csvFormat` to calculate the raw file size. The data originates from a Kaggle dataset hosted on GitHub, covering U.S. honey production from 1998 to 2012.

AI-generated description

Honey Production in the United States Dataset

This visualization is a summary of the Brazilian Forest Fires Dataset. This data was originally posted on Kaggle by Jessica Li under the title, Honey Production in the USA (1998-2012).

List of Attributes:

  • State: Categorical
  • Number of Colonies: Quantitative
  • Yield Per Colony: Quantitative
  • Total Production: Quantitative
  • Stocks: Quantitative
  • Prince Per Pound: Quantitative
  • Production Value: Quantitative
  • Year: Ordinal

Questions/Task:

  • How has the rate of honey production yield changed?
  • Are there any notable trends that have appeared in the number of colonies or production value?
  • Which states produce the most honey? Do these states have more colonies or do their colonies just net a larger yield?
  • Is there a "honey belt" in the United States or is production evenly spread through the country?
  • How does a producer's stock change per year? Is there general a positive trend or are they having to sell more of their stock due to smaller yields?
MIT Licensed

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