@formant/ava
Version:
A framework for automated visual analytics.
55 lines (54 loc) • 2.03 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
var tslib_1 = require("tslib");
/* eslint-disable no-template-curly-in-string */
var ntv_1 = require("../../../ntv");
var base_1 = require("./base");
var variableMetaMap = {
pcorr: {
varType: 'metric_value',
},
m1: {
varType: 'metric_value',
},
m2: {
varType: 'metric_value',
},
};
var CorrelationNarrativeStrategy = /** @class */ (function (_super) {
tslib_1.__extends(CorrelationNarrativeStrategy, _super);
function CorrelationNarrativeStrategy() {
return _super !== null && _super.apply(this, arguments) || this;
}
CorrelationNarrativeStrategy.prototype.generateTextSpec = function (insightInfo, lang) {
var patterns = insightInfo.patterns;
var _a = patterns[0], _b = tslib_1.__read(_a.measures, 2), m1 = _b[0], m2 = _b[1], pcorr = _a.pcorr;
var spec = (0, ntv_1.generateTextSpec)({
structures: CorrelationNarrativeStrategy.structures[lang],
variable: {
m1: m1,
m2: m2,
pcorr: pcorr,
},
});
return spec.sections[0].paragraphs;
};
CorrelationNarrativeStrategy.insightType = 'correlation';
CorrelationNarrativeStrategy.structures = {
'zh-CN': [
{
template: '${m1} 与 ${m2} 相关性最大，相关系数为 ${pcorr}。',
variableMetaMap: variableMetaMap,
},
],
'en-US': [
{
template: " ${m1} and ${m2}, are highly correlated. Their relationship is measured by a number, ${pcorr}, which tells us just how closely they're linked. A higher number means they move in sync more often.",
variableMetaMap: variableMetaMap,
displayType: 'paragraph',
},
],
};
return CorrelationNarrativeStrategy;
}(base_1.InsightNarrativeStrategy));
exports.default = CorrelationNarrativeStrategy;