25:["$","title",null,{"children":"VAST CHALLENGE 2023 | vikasthiramdas | Observable"}] 49:[{"id":"eab39ce73d9ec6fe5b7f04fe34754b3a1264d3ca19737ec713d34316c6825cd88f5c9f84eb9a584fc2e30b5389d3d5162be0043f7474dedb7be0348f75953792","href":"https://static.observableusercontent.com/files/eab39ce73d9ec6fe5b7f04fe34754b3a1264d3ca19737ec713d34316c6825cd88f5c9f84eb9a584fc2e30b5389d3d5162be0043f7474dedb7be0348f75953792","name":"MC1.json","type":"application/json","lastModified":1686180957234.42,"size":1671798}] 29:{"id":"61b20053e0182aee","slug":null,"title":"VAST CHALLENGE 2023","thumbnail":"0c5e6ec09e2cdef4501f572121d2000982d7051d8fab12d0750f5ab5ec42d760","access_level":"public","create_time":"$D2023-06-07T23:32:56.646Z","update_time":"$D2023-06-09T05:00:31.425Z","view_time":null,"first_public_time":"$D2023-06-07T23:32:56.646Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"2c73d86ecae3482c","login":"vikascsus","name":"vikasthiramdas","avatar_url":"https://avatars-next.observableusercontent.com/2dfcc4d1ac7986378bf04c6b0cdd5288089c1118df169a20456727ea8ea2f011","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":386,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"60a43c18e69bb189","login":"vikas77thiramdas","name":"Vikas Thiramdas","avatar_url":"https://avatars-next.observableusercontent.com/225f0d3bb68fe2115a6a60f3f320386f9f14e2901142a332bd7e2068abccd267","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"60a43c18e69bb189","login":"vikas77thiramdas","name":"Vikas Thiramdas","avatar_url":"https://avatars-next.observableusercontent.com/225f0d3bb68fe2115a6a60f3f320386f9f14e2901142a332bd7e2068abccd267","tier":null,"role":"editor"},{"type":"team","id":"2c73d86ecae3482c","login":"vikascsus","name":"vikasthiramdas","avatar_url":"https://avatars-next.observableusercontent.com/2dfcc4d1ac7986378bf04c6b0cdd5288089c1118df169a20456727ea8ea2f011","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"VAST CHALLENGE 2023","cells":[{"id":324,"value":"# VAST CHALLENGE 2023","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":315,"value":"# Mini Challange and Question 1","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":329,"value":"Contributor: Vikas Thiramdas.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":332,"value":"

The Reference

\"itba vast 2023\" by Ariel Aizemberg. \nI studied his examples, which inspired me to experiment and modify the dataset.

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Importing the vega-lite Javascript libary

Directed graph from \"itba vast 2023\"

In this section, I performed the initial data analysis for Mini Challenge 1. The MC1.json file contains five types of data sets, the key datasets where I began my analytical work being Nodes and Links. I began by cleaning up the Nodes data set by selecting Types (Connection) from the list and removing all other columns. In Links, I only used Types (RELATIONSHIPS) and ignored the other columns. I estimated both \"Node types\" and \"Link types\" by utilizing FREQUENCY to count each individual set (Set means: Organization, vessel, etc in Nodes and Family relationship, partnership in Links). I can study a single entity's (tip received by FishEye) connections and relationships using the data shown above.

Through my study, I can determine the links between the entities. If I dig more, I can determine which entity is involved in illegal fishing.

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3,"value":"import {vl} from \"@vega/vega-lite-api-v5\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":22,"value":"Investigation = FileAttachment(\"MC1.json\").json()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":25,"value":"data1 = Investigation.nodes","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":40,"value":"data2 = data1","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"data2","database":"$undefined"},{"id":72,"value":"Plot.plot({\n marks: [\n Plot.barY(data2, Plot.groupX({ y: \"count\" }, { x: \"type\", tip: true })),\n Plot.ruleY([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":30,"value":"data = Investigation.links","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":38,"value":"data3 = data","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"data3","database":"$undefined"},{"id":92,"value":"Plot.plot({\n marks: [\n Plot.barY(\n data3,\n Plot.groupX({ y: \"sum\" }, { x: \"type\", fill: \"#000000\", tip: true })\n ),\n Plot.ruleY([0])\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":95,"value":" Entities = [\"Mar de la Vida OJSC\", 979893388, \"Oceanfront Oasis Inc Carriers\", 8327]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":241,"value":"viewof EntitiesI = Inputs.select(Entities, {label: \"Entidad a investigar\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":273,"value":"import {directedGraph} from \"c21fd57894972d18\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":271,"value":"directedGraph({data: Diagram, height: 500, nodeSpacing: 200}) ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":222,"value":"Ent = Investigation.nodes.filter(d => d.id == 38)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":254,"value":"Diagram = {\n const nodes = [\n Investigation.nodes.find(d => d.id === EntitiesI),\n ...Investigation.nodes.filter(n => \n Investigation.links.filter(d => d.target === EntitiesI).some(s => s.source === n.id) ||\n Investigation.links.filter(d => d.source === EntitiesI).some(t => t.target === n.id)\n )\n ]\n const links = [\n ...Investigation.links.filter(d => d.target === EntitiesI),\n ...Investigation.links.filter(d => d.source === EntitiesI)\n ]\n return {nodes, links}\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W49","stdlib":"1"}} 24:null