Interaction designer and developer.
Published
Edited
Oct 23, 2018
// Load the list of qualified keywords per article
// subarticle csv
// keywordData = d3.csv("https://gist.githubusercontent.com/rielc/2194210a928725b3cbedfac08ffbf717/raw/b7630275d6a970afafe7216c2dfa32647dceec5e/2018-10-23_qualified_keywords_by_subarticle.csv")
// pdf csv
keywordData = d3.csv("https://gist.githubusercontent.com/rielc/2194210a928725b3cbedfac08ffbf717/raw/0ba3a84934749738a0f8d3aeb0c5a62987c8e386/2018-10-23_qualified_keywords_by_pdf.csv")
// Instead of the article, lets only have an array of the keywords
keywordCombinations = keywordData
//.filter(article => !!article.qualified_keywords)
.map(
article => article.qualified_keywords
.split(' ')
.map(kw => kw.split('=').reverse().join(' [') + ']')
)
// Reduce the array of keywords to an array of all (n*n)-n keyword combinations
reduceToLinks = (acc, el, i, arr) => {
const allCurrentLinks = arr.filter(f => f !== el).map(kw => [el, kw].sort().join(' + '));
allCurrentLinks.forEach((currentLink) => {
if (!acc.includes(currentLink)) acc.push(currentLink);
});
return acc;
}
// Apply the reducer and collect ALL combinations of all articles
allCombinations = keywordCombinations.map(m => m.reduce(reduceToLinks, [])).reduce((acc, el) => [...acc, ...el])
// Count how often each combination occurs
stat = allCombinations.reduce((acc, el) => {
if (!acc[el]) {
acc[el] = 1;
return acc;
}
acc[el] += 1;
return acc;
}, {})
//Print the result to the console
// console.log(Object.entries(stat).map(([key, count]) => `${key},${count}`).join('\n'))
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