Public
Edited
Dec 6, 2023
toto = d3.json(urlPredicat).then(
res => {
const values = res['coicop'][`\'${product_debounce}\'`] ;
return values
}
)
Inputs.table(toto)
product_debounce = debounce(viewof product, 2000)
viewof product = Inputs.text(
{label: '', value: 'Nutella', width: 800}
)
urlPredicat = `https://api.lab.sspcloud.fr/predicat/label?k=2&q=%27${product_debounce}%27&v=1`
activite_debounce = debounce(viewof activite, 2000)
viewof activite = Inputs.text(
{label: '', value: 'Crêperie', width: 800}
)
urlApe = `https://codification-ape-test.lab.sspcloud.fr/predict?nb_echos_max=3&prob_min=0&text_feature=${activite_debounce}`
d3.json(urlApe).then(res => {
var IC, results;
({ IC, ...results } = res);
IC = parseFloat(IC);
const rows = Object.values(results).map(obj => {
return `
<tr>
<td>${obj.code} | ${obj.libelle}</td>
<td>${obj.probabilite.toFixed(3)}</td>
</tr>
`;
}).join('');
const confidenceRow = `<tr>
<td colspan="2" style="text-align:left; "><em>Indice de confiance : ${IC.toFixed(3)}</em></td>
</tr>`;
const tableHTML = html`
<table>
<caption>
Prédiction de l'activité
</caption>
<tr>
<th style="text-align:center;">Libellé (NA2008)</th>
<th>Probabilité</th>
</tr>
${rows}
${confidenceRow}
</table>`;
// Now you can use the tableHTML as needed, for example, inserting it into the DOM.
// For example, assuming you have a container with the id "tableContainer":
return tableHTML;
});
import {debounce} from "@mbostock/debouncing-input"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
