| interface SocioDemographicData { |
| age: string; |
| gender: string; |
| percentage: number; |
| social_group: string; |
| } |
|
|
| type SynonymsMap = Record<string, string[]>; |
|
|
| export function characterizeSocioDemographicData( |
| data: SocioDemographicData[] |
| ): string { |
| const result: string[] = []; |
|
|
| const ageSynonyms: SynonymsMap = { |
| "15-24": ["young", "youthful", "adolescent", "teenage", "juvenile"], |
| "25-34": ["young adult", "early adult", "youthful", "prime of life"], |
| "35-49": ["middle-aged", "adult", "mature", "grown-up"], |
| "50-64": ["senior", "elderly", "aged", "mature", "golden-aged"], |
| "65-PLUS": ["elderly", "senior", "aged", "retired", "elder"], |
| }; |
|
|
| const socialGroupSynonyms: SynonymsMap = { |
| "1": ["poorest", "impoverished", "deprived", "underprivileged", "needy"], |
| "2": [ |
| "poor", |
| "low-income", |
| "economically challenged", |
| "struggling", |
| "disadvantaged", |
| ], |
| "3": ["poor", "struggling", "disadvantaged", "less fortunate", "in need"], |
| "4": ["middle-income", "average", "moderate", "ordinary", "typical"], |
| "5": ["middle-income", "average", "moderate", "ordinary", "typical"], |
| "6": ["middle-income", "average", "moderate", "ordinary", "typical"], |
| "7": ["rich", "affluent", "well-off", "prosperous", "wealthy"], |
| "8": ["rich", "wealthy", "opulent", "affluent", "privileged"], |
| "9": ["richest", "privileged", "wealthiest", "affluent", "opulent"], |
| "10": ["richest", "wealthiest", "opulent", "affluent", "privileged"], |
| }; |
|
|
| const crowdedSynonyms = [ |
| "crowded", |
| "dense", |
| "populated", |
| "teeming", |
| "packed", |
| ]; |
| const notCrowdedSynonyms = [ |
| "not that crowded", |
| "sparsely populated", |
| "unpopulated", |
| "deserted", |
| "vacant", |
| ]; |
|
|
| const groupedData = data.reduce((groups, item) => { |
| const key = `${item.age}-${item.gender}-${item.social_group}`; |
| if (!groups[key]) { |
| groups[key] = []; |
| } |
| groups[key].push(item.percentage); |
| return groups; |
| }, {} as Record<string, number[]>); |
|
|
| for (const key in groupedData) { |
| if (groupedData.hasOwnProperty(key)) { |
| const percentages = groupedData[key]; |
| const averagePercentage = |
| percentages.reduce((sum, percentage) => sum + percentage, 0) / |
| percentages.length; |
|
|
| if (averagePercentage > 0.1) { |
| result.push(...crowdedSynonyms); |
| } else { |
| result.push(...notCrowdedSynonyms); |
| } |
|
|
| const age = key.split("-")[0]; |
| const randomAgeSynonym = ageSynonyms[age] |
| ? ageSynonyms[age][Math.floor(Math.random() * ageSynonyms[age].length)] |
| : age; |
| result.push(randomAgeSynonym); |
|
|
| const socialGroup = key.split("-")[2]; |
| const randomSocialGroupSynonym = socialGroupSynonyms[socialGroup] |
| ? socialGroupSynonyms[socialGroup][ |
| Math.floor(Math.random() * socialGroupSynonyms[socialGroup].length) |
| ] |
| : "social group " + socialGroup; |
| result.push(randomSocialGroupSynonym); |
| } |
| } |
|
|
| const finalString = result.filter((word) => isNaN(Number(word))).join(" "); |
|
|
| return finalString; |
| } |
|
|
