Published
Edited
Jun 10, 2021
1 star
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human_generated_tags_all_counts_sorted
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nlp_generated_tags_all_counts_sorted
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codejson = d3.json('https://raw.githubusercontent.com/nasa/Open-Source-Catalog/master/code.json')
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codejson_filter_by_date_and_source
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function filterCatalogByDate(catalog_array,date){
return catalog_array.filter(catalog_array => catalog_array["Update_Date"] > date);
}
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function filterCatalogBySource(catalog_array){
if (source == "both" || source == "openSource"){return catalog_array}
else{
return []
}
}
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function limitCatalogJsonByDate(catalog){
var catalog_new = []
for (var i=0; i< catalog.length; i++){
// if(new Date(catalog[i]["Update_Date"]) <= new Date(date_proj_added_after)){
if(catalog[i]["Update_Date"] >= date_proj_added_after){
catalog_new.push(catalog[i])
}
}
return catalog_new
}
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data = human_generated_tags_most_common_obj
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format = d3.format(".3f")
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x = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)])
.range([margin.left, width - margin.right])

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y = d3.scaleBand()
.domain(data.map(d => d.name))
.range([margin.top, height - margin.bottom])
.padding(0.1)
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xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(0))
.call(g => g.select(".domain").remove())
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yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
// .attr("style",
// .call(d3.axisLeft(y).tickSizeOuter(0))
.call(d3.axisLeft(y).tickFormat("").tickSizeOuter(0))
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height = data.length * 50 + margin.top + margin.bottom
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margin = ({top: 30, right: 50, bottom: 10, left: 10})
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d3 = require("d3@5")
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import {radio} from "@jashkenas/inputs"
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import {date} from "@jashkenas/inputs"
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import {slider} from "@jashkenas/inputs"
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import {table} from "@tmcw/tables@513"
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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.
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