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https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-11-14 16:55:42 +00:00
Update for real data visualization
This commit is contained in:
Inga Kirschnick
parent
11b697145b
commit
d6e17e1554
@ -34,22 +34,22 @@ class CorpusAnalysisApp {
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.then(
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cQiCorpus => {
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this.data.corpus = {o: cQiCorpus};
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this.data.corpus.o.getVisualizationData().then(data => console.log(data));
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// this.data.corpus.o.getVisualizationData()
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// .then(
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// (visualizationData) => {
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// console.log(visualizationData);
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// this.renderGeneralCorpusInfo(visualizationData);
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// this.renderTextInfoList(visualizationData);
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// this.renderTextProportionsGraphic(visualizationData);
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// }
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// );
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this.data.corpus.o.getVisualizationData()
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.then(
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(data) => {
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console.log(data);
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this.renderGeneralCorpusInfo(data);
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this.renderTextInfoList(data);
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this.renderTextProportionsGraphic(data);
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this.renderWordFrequenciesGraphic(data);
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}
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);
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this.data.corpus.o.getCorpusData()
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.then(corpusData => {
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this.renderGeneralCorpusInfo(corpusData);
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this.renderTextInfoList(corpusData);
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this.renderTextProportionsGraphic(corpusData);
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this.renderWordFrequenciesGraphic(corpusData);
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// this.renderGeneralCorpusInfo(corpusData);
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// this.renderTextInfoList(corpusData);
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// this.renderTextProportionsGraphic(corpusData);
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// this.renderWordFrequenciesGraphic(corpusData);
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this.renderWordDistributionsGraphic(corpusData);
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});
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// TODO: Don't do this hgere
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@ -115,66 +115,78 @@ class CorpusAnalysisApp {
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}
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renderGeneralCorpusInfo(corpusData) {
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document.querySelector('.corpus-num-tokens').innerHTML = corpusData.corpus.counts.token;
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document.querySelector('.corpus-num-s').innerHTML = corpusData.corpus.counts.s;
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// corpusGeneralInfoListElement.querySelector('.corpus-text-count').innerHTML = <b>Corpus text count:</b> ${Object.entries(corpusData.text).length;
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document.querySelector('.corpus-num-unique-words').innerHTML = Object.entries(corpusData.corpus.freqs.word).length;
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document.querySelector('.corpus-num-unique-lemmas').innerHTML = Object.entries(corpusData.corpus.freqs.lemma).length;
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document.querySelector('.corpus-num-unique-pos').innerHTML = Object.entries(corpusData.corpus.freqs.pos).length;
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document.querySelector('.corpus-num-unique-simple-pos').innerHTML = Object.entries(corpusData.corpus.freqs.simple_pos).length;
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document.querySelector('.corpus-num-tokens').innerHTML = corpusData.corpus.lexicon[0].counts.token;
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document.querySelector('.corpus-num-s').innerHTML = corpusData.corpus.lexicon[0].counts.s;
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document.querySelector('.corpus-num-unique-words').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.word).length;
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document.querySelector('.corpus-num-unique-lemmas').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.lemma).length;
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document.querySelector('.corpus-num-unique-pos').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.pos).length;
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document.querySelector('.corpus-num-unique-simple-pos').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.simple_pos).length;
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}
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renderTextInfoList(corpusData) {
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// let corpusTextInfoListElement = document.querySelector('.corpus-text-info-list');
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// let corpusTextInfoList = new CorpusTextInfoList(corpusTextInfoListElement);
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// for (let text of Object.values(corpusData.text)) {
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// text.values.title = corpusData.value_lookups.text.title[text.values.title];
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// }
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// corpusTextInfoList.add(Object.values(corpusData.text));
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let corpusTextInfoListElement = document.querySelector('.corpus-text-info-list');
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let corpusTextInfoList = new CorpusTextInfoList(corpusTextInfoListElement);
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let texts = corpusData.text.lexicon;
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let textData = [];
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for (let i = 0; i < Object.entries(texts).length; i++) {
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let resource = {
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title: corpusData.lookups.text[i].title,
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publishing_year: corpusData.lookups.text[i].publishing_year,
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num_tokens: corpusData.text.lexicon[i].counts.token,
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num_sentences: corpusData.text.lexicon[i].counts.s,
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num_unique_words: Object.entries(corpusData.text.lexicon[i].freqs.word).length,
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num_unique_lemmas: Object.entries(corpusData.text.lexicon[i].freqs.lemma).length,
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num_unique_pos: Object.entries(corpusData.text.lexicon[i].freqs.pos).length,
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num_unique_simple_pos: Object.entries(corpusData.text.lexicon[i].freqs.simple_pos).length
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};
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textData.push(resource);
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}
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corpusTextInfoList.add(textData);
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// let textCountChipElement = document.querySelector('.text-count-chip');
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// textCountChipElement.innerHTML = `Text count: ${Object.values(corpusData.text).length}`;
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let textCountChipElement = document.querySelector('.text-count-chip');
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textCountChipElement.innerHTML = `Text count: ${Object.values(corpusData.text.lexicon).length}`;
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}
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renderTextProportionsGraphic(corpusData) {
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// let textProportionsGraphicElement = document.querySelector('#text-proportions-graphic');
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// let texts = Object.values(corpusData.text);
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// let graphData = [
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// {
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// values: texts.map(text => text.counts.token),
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// labels: texts.map(text => `${text.values.title} (${text.values.publishing_year})`),
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// type: 'pie'
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// }
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// ];
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// let graphLayout = {
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// height: 400,
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// width: 500
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// };
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// Plotly.newPlot(textProportionsGraphicElement, graphData, graphLayout);
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let textProportionsGraphicElement = document.querySelector('#text-proportions-graphic');
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let texts = Object.entries(corpusData.text.lexicon);
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let graphData = [
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{
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values: texts.map(text => text[1].counts.token),
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labels: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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type: 'pie'
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}
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];
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let graphLayout = {
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height: 600,
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width: 600
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};
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Plotly.newPlot(textProportionsGraphicElement, graphData, graphLayout);
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}
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renderWordFrequenciesGraphic(corpusData) {
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// let wordFrequenciesGraphicElement = document.querySelector('#word-frequencies-graphic');
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// let words = Object.entries(corpusData.value_lookups.token.word);
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// let texts = Object.values(corpusData.text);
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// let graphData = [];
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// for (let word of words) {
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// let data = {
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// x: texts.map(text => `${text.values.title} (${text.values.publishing_year})`),
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// y: texts.map(text => text.freqs.word[word[0]]),
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// name: word[1],
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// type: 'bar'
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// };
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// graphData.push(data);
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// }
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let wordFrequenciesGraphicElement = document.querySelector('#word-frequencies-graphic');
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let words = Object.entries(corpusData.corpus.lexicon[0].freqs.word).sort((a, b) => b[1] - a[1]).slice(0, 5);
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let texts = Object.entries(corpusData.text.lexicon);
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let graphData = [];
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for (let word of words) {
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let data = {
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x: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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y: texts.map(text => text[1].freqs.word[word[0]]),
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name: corpusData.lookups.word[word[0]],
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type: 'bar'
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};
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graphData.push(data);
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}
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// let graphLayout = {
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// height: 400,
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// width: 500,
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// barmode: 'stack',
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// type: 'bar'
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// };
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// Plotly.newPlot(wordFrequenciesGraphicElement, graphData, graphLayout);
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let graphLayout = {
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height: 600,
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width: 600,
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barmode: 'stack',
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type: 'bar'
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};
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Plotly.newPlot(wordFrequenciesGraphicElement, graphData, graphLayout);
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}
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renderWordDistributionsGraphic(corpusData) {
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@ -191,7 +203,7 @@ class CorpusAnalysisApp {
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// var layout = {
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// title: 'Marker Size',
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// showlegend: false,
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// height: 600,
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// height: 500,
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// width: 600
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// };
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// Plotly.newPlot(wordDistributionGraphicElement, data, layout);
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@ -83,14 +83,14 @@ class CorpusTextInfoList extends ResourceList {
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mapResourceToValue(corpusTextData) {
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return {
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title: corpusTextData.values.title,
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publishing_year: corpusTextData.values.publishing_year,
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num_tokens: corpusTextData.counts.token,
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num_sentences: corpusTextData.counts.s,
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num_unique_words: Object.entries(corpusTextData.freqs.word).length,
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num_unique_lemmas: Object.entries(corpusTextData.freqs.lemma).length,
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num_unique_pos: Object.entries(corpusTextData.freqs.pos).length,
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num_unique_simple_pos: Object.entries(corpusTextData.freqs.simple_pos).length
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title: corpusTextData.title,
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publishing_year: corpusTextData.publishing_year,
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num_tokens: corpusTextData.num_tokens,
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num_sentences: corpusTextData.num_sentences,
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num_unique_words: corpusTextData.num_unique_words,
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num_unique_lemmas: corpusTextData.num_unique_lemmas,
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num_unique_pos: corpusTextData.num_unique_pos,
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num_unique_simple_pos: corpusTextData.num_unique_simple_pos
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};
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}
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@ -40,7 +40,7 @@
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<div class="col s2">
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<div class="card hoverable" style="border-radius: 10px !important; background-color:#6b3f89; color:white">
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<div class="card-content" style="padding:10px !important; text-align:center;">
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<p>Number of tokens</p>
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<p><b>Number of tokens</b></p>
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<span class="card-title corpus-num-tokens"></span>
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</div>
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</div>
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@ -48,7 +48,7 @@
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<div class="col s2">
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<div class="card hoverable" style="border-radius: 10px !important; background-color:#6b3f89; color:white">
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<div class="card-content" style="padding:10px !important; text-align:center">
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<p>Number of sentences</p>
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<p><b>Number of sentences</b></p>
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<span class="card-title corpus-num-s"></span>
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</div>
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</div>
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@ -56,7 +56,7 @@
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<div class="col s2">
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<div class="card hoverable" style="border-radius: 10px !important; background-color:#6b3f89; color:white">
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<div class="card-content" style="padding:10px !important; text-align:center">
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<p>Number of unique words</p>
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<p><b>Number of unique words</b></p>
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<span class="card-title corpus-num-unique-words"></span>
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</div>
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</div>
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@ -64,7 +64,7 @@
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<div class="col s2">
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<div class="card hoverable" style="border-radius: 10px !important; background-color:#6b3f89; color:white">
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<div class="card-content" style="padding:10px !important; text-align:center">
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<p>Number of unique lemmas</p>
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<p><b>Number of unique lemmas</b></p>
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<span class="card-title corpus-num-unique-lemmas"></span>
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</div>
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</div>
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@ -72,7 +72,7 @@
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<div class="col s2">
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<div class="card hoverable" style="border-radius: 10px !important; background-color:#6b3f89; color:white">
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<div class="card-content" style="padding:10px !important; text-align:center">
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<p>Number of unique pos</p>
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<p><b>Number of unique pos</b></p>
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<span class="card-title corpus-num-unique-pos"></span>
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</div>
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</div>
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@ -80,7 +80,7 @@
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<div class="col s2">
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<div class="card hoverable" style="border-radius: 10px !important; background-color:#6b3f89; color:white">
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<div class="card-content" style="padding:10px !important; text-align:center">
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<p>Number of unique simple_pos</p>
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<p><b>Number of unique simple_pos</b></p>
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<span class="card-title corpus-num-unique-simple-pos"></span>
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</div>
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</div>
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@ -90,7 +90,7 @@
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<div class="col s12">
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<div class="card hoverable">
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<div class="card-content">
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<span class="card-title">Text information</span>
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<span class="card-title">Text Information Overview</span>
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<div class="chip text-count-chip" style="background-color:#6b3f89; color:white""></div>
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<div class="corpus-text-info-list no-autoinit"></div>
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</div>
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@ -98,7 +98,7 @@
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</div>
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</div>
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<div class="row">
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<div class="col s3">
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<div class="col s4">
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<div class="card hoverable">
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<div class="card-content">
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<span class="card-title">Text proportions within the corpus</span>
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@ -106,7 +106,7 @@
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</div>
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</div>
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</div>
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<div class="col s3">
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<div class="col s4">
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<div class="card hoverable">
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<div class="card-content">
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<span class="card-title">Word frequencies</span>
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@ -114,7 +114,7 @@
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</div>
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</div>
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</div>
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<div class="col s6">
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<div class="col s4">
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<div class="card hoverable">
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<div class="card-content">
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<span class="card-title">Word distributions</span>
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