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Parse BFS_national_by_month_2004-2021.csv

✓ Published1🌍 Public
PPeter Cordone
Last edited Sep 7, 2021
Created on Sep 7, 2021

This example loads a national Business Formation Statistics dataset from 2004 to 2021 and verifies its contents by displaying the file size, row count, and column count. The code computes the size in kilobytes from the formatted CSV text and counts rows and columns from the parsed data. It uses the D3 v5 library’s `d3.csv` and `d3.csvFormat` methods to fetch and inspect the data, with an alternative approach using `fetch` and `d3.csvParse` shown in comments. The visualization itself is not yet rendered, only the parsed dataset metadata is presented.

AI-generated description

What has the trend in business formation (https://www.census.gov/programs-surveys/bfs/about.html) over time by NAICS sector https://www.census.gov/programs-surveys/economic-census/guidance/understanding-naics.html been since the early 2000's? In particular, what has business formation been like for manufacturing companies in comparison to other sectors? Neoliberal economic policy has shifted manufacturing away from the United States to automation and authoritarian and corrupted countries with cheaper labor costs with consequences like the most recent supply chain problems due to COVID-19.

Attributes that are interesting are:

  • val is the business formation rate and is quantitative
  • category is the corresponding text for the NAICS code and is categorical
  • period is the month and year the data is reported and I consider this to be ordinal. It may make sense to aggregate the data into quarters.
  • geoid is categorical and right now the value US since the data is nationally. If I include the data at the state level, it exceeded the 10,000 row limit of the assignment. I thought I would start with visualizing the data at the national level and then look into incorporating it at the the state level with aggregating it by quarter to make the number of rows more manageable.

https://gist.githubusercontent.com/pcordone/4a092877a5a29d0c08cada298d34a1e2/raw/BFS_national_by_month_2004-2021.csv

MIT Licensed

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