Scrape Oryx

March 28, 2022 ยท View on GitHub

About

This is a repo for the latest datasets scraped from Oryx' excellent post detailing materiel lost by all sides in the Russian invasion of Ukraine.

Datasets

daily_count.csv

Daily Count provides a running tally of equipment losses by type.

VariableVariable TypeDescription
countrycharacterThe country to whom the materiel belongs.
equipment_typecharacterThe type of materiel.
destroyednumericA count of destroyed materiel
abandonednumericA count of abandoned materiel
capturednumericA count of captured materiel
damagednumericA count of damaged materiel
type_totalnumericA count of materiel across all categories
date_recordeddateDate the count was recorded stored as YYYY-MM-DD
destroyed_diffnumericA number showing the differences in count from the previous day
abandoned_diffnumericA number showing the differences in count from the previous day
captured_diffnumericA number showing the differences in count from the previous day
damaged_diffnumericA number showing the differences in count from the previous day
type_total_diffnumericA number showing the differences in count from the previous day

total_by_system.csv

This dataset includes one row for each unique observation scraped from the website. A unique row is defined as a unique combination of country, origin, system, status, url.

VariableVariable TypeDescription
countrycharacterThe country to whom the materiel belongs
origincharacterThe country of the systems origination / manufacture
systemcharacterThe weapon system
statuscharacterThe status of the system. Valid values are: destroyed, abandoned, damaged, or captured
urlcharacterA url to the image used to verify the status of the equipment
date_recordeddateDate the count was recorded stored as YYYY-MM-DD