US Border Encounters & Enforcements 2023

Creates a Sankey graph of the flow of immigration from the world to the 'gotaways' and 'naturalized citizen' states, using Python.

To create a graph, execute in a CLI shell:

python plotly-sankey-immigration-working.py

The idea is vastly orthogonal to the use of most Sankey libraries which is by using column-based dataframes (except for Riley Xu's Sankeyflow is row-based dataframe).

By using row-based dataframe (datapoint) approach, it becomes easier to map the node blocks on the map (despite DS3Sankey.js chaotic slapping of nodes all over the place after 13th node added).

Once X:Y coordinate of using 0.000 to 1.000 : 0.000 to 1.000 range is supported ONLY within Nodes, it becomes easier to construct LARGE Sankey charts.

Based on Steve Rattner's work and aired on Morning Joe TV show.

• https://stevenrattner.com/2023/11/steve-rattners-morning-joe-charts-the-border-at-a-breaking-point/
• U.S. Custom and Border Protection, Office of Field Operations
• U.S. Custom & Border Patrol
• • https://www.cbp.gov/newsroom/stats/nationwide-encounters
• • https://www.cbp.gov/newsroom/stats/custody-and-transfer-statistics
• • https://www.cbp.gov/newsroom/stats/cbp-enforcement-statistics
• • https://www.cbp.gov/newsroom/stats/cbp-enforcement-statistics/criminal-noncitizen-statistics
• TRAC
• • https://trac.syr.edu/immigration/
• USCIS
• • https://www.uscis.gov/citizenship-resource-center/naturalization-statistics
• • https://www.uscis.gov/tools/reports-and-studies/immigration-and-citizenship-data/eligible-to-naturalize-dashboard
• • https://www.uscis.gov/military/military-naturalization-statistics
• DHS, Office of Homeland Security Statistics
• • https://ohss.dhs.gov/topics/immigration/refugees-and-asylees/asylum-processing-rule-cohort-reports
• • https://ohss.dhs.gov/topics/immigration/legal-immigration-and-adjustment-status-report