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Data Analysis on visually confirmed equipment losses in the Russia-Ukraine war

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CulleyHarrelson/RussiaUkraineWarEquipmentLosses

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Cumulative Losses

Data for this project is ultimately sourced from oryx. From the oryx website:

This list only includes destroyed vehicles and equipment of which photo or videographic evidence is available. Therefore, the amount of equipment destroyed is significantly higher than recorded here. Loitering munitions, drones used as unmanned bait, civilian vehicles and derelict equipment are not included in this list. All possible effort has gone into avoiding duplicate entries and discerning the status of equipment between captured or abandoned. Many of the entries listed as ‘abandoned’ will likely end up captured or destroyed. Similarly, some of the captured equipment might be destroyed if it can’t be recovered. When a vehicle is captured and then lost in service with its new owners, it is only added as a loss of the original operator to avoid double listings. When the origin of a piece of equipment can’t be established, it’s not included in the list. The Soviet flag is used when the equipment in question was produced prior to 1991. This list is constantly updated as additional footage becomes available.

The screen scrape from scarnecchia's Scrape Oryx project is merged with the class data from leedrake5's Russia-Ukraine project.

Contents

  • dbt - dbt transformations to explore the dataset with postgreSQL
  • artifacts - the artifacts folder contains output visualizations and datasets
  • panel-V1 - the first exploration of the dataset, using panel and pandas.

artifacts

These files are created by scripts/create_artifacts.py

  • system_category.json is a json dataset with category suggestions for the oryx systems.
  • cumulative_losses.html is a html file with embedded svg line charts visualizing the cumulative equipment losses by country/categories. Download the file to view in your browser.

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Data Analysis on visually confirmed equipment losses in the Russia-Ukraine war

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