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These Jupyter Notebooks contains the code that allowed me to convert data from an Excel file into feasible Plotly and streamgraphs. The data was acquired from the World Steel Association through a direct information request.

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juanchok12/China-s-Steel-Production-Analysis

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China-s-Steel-Production-Analysis

final_video_steel_production_per_country_1919_2022.mp4

The development of the steel industry is one of the biggest indicators of industrial and economic advancement in any form of society. The development of the the steel industry in particular, metaphorically speaking, is to the likes of the development of bone structures in vertebrate organisms. Both are the product of material conditions that allow the society/organism to invest in the production of specific resources that can be reorganized, shaped, transported and edified into strutures for integral functioning of the whole corpus.

The production of steel requires a variety of resources and technologies, including iron ore, coal, and advanced manufacturing processes. Similarly, the growth of bone structures in vertebrates requires the consumption of nutrients, such as calcium and phosphorus, as well as the activation of specific genes and signaling pathways. The product of this study indicates that, when talking at least about raw steel production, China appears to be a different type of organism.

This project is a quantitative comperative analysis betweeen the raw steel production of China and the rest of the world.

Data Source

Data source is from the World Steel Association through an information request on the steel production of all the major steel producing countries and the rest of the world from 1917-2022. The major producers of raw steel are:

  • France
  • Germany
  • Italy
  • Spain
  • United Kingdom
  • Poland
  • Turkey
  • Russia
  • Canada
  • Mexico
  • United States
  • Brazil
  • China
  • India
  • Japan
  • South Korea

The original data was in Excel file format.

Plots

The document "China's Steel Production Graphics-Created_3_5_2023-Updated_5_23_2023.ipynb" generates the following plots:

a) A Plotly treemap plot:

ezgif com-video-to-gif

b) A Plotly line plot:

Line

The document "China's Steel Production Streamgraph-Created_3_5_2023.ipynb" generates the following two major plots:

a) A stream graph from the 'Streamgraph' R package (https://github.com/hrbrmstr/streamgraph)

Streamgraph

About

These Jupyter Notebooks contains the code that allowed me to convert data from an Excel file into feasible Plotly and streamgraphs. The data was acquired from the World Steel Association through a direct information request.

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