The avatar for @density215
Jasper den Hertog
Published
Edited
Jan 29, 2020
Fork of Probe Similarity cumulative distribution for a single probe
•
1 fork
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md`# Probe Similarity cumulative distribution for probes in same AS`
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probesFiltered = Object.assign({ prb_ids: psMeta.filter(prbFilterFn).map(p => p.id) });
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sims = fetch(`https://8100.ripe.net/probes?limit=0`, {
method: 'POST',
headers: {'Content-Type': 'application/json'
},
mode: 'cors',
body: JSON.stringify(probesFiltered)
})
.then(res => res.json());
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ss = sims.map(r => {
let facet = psMeta.find(m => m.id === r.id)[facetParm]
return r.result.map(res => {
return (
{ ...res, facet: facet })
})
});
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psMeta = fetch("https://atlas.ripe.net/api/v2/probes/archive/?status=1").then(d => d.json()).then(d => d.results);
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bb = ss.map(sim => vl
.markLine({interpolate: 'step-before', opacity: 0.3, strokeWidth: 0.8})
.data(sim)
.transform(
vl.groupby(["similarity","facet"]).aggregate(vl.count().as('Count')),
vl.window(vl.sum('Count').as('Cumulative_Sum')).sort(vl.field("similarity"))
)
.encode(
vl.y().fieldQ("similarity").title('Similarity (jaccard index)'),
vl.x().fieldQ('Cumulative_Sum').title('Cumulative Count of Probes'),
vl.color().fieldN('facet').title(facetParm)
)
);
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vl.layer(bb).width(800).height(800).render()
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prbFilterFn = p => p.asn_v4 === 6830
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facetParm = 'country_code'
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probesFiltered.prb_ids.length
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import {vl} from '@vega/vega-lite-api'
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