Public
Edited
Mar 8, 2023
missingFolders = [
...new Set(tifFileCount.filter((d) => !d.tifCount).map((d) => d.identifier))
].sort()
tifFileCount = {
let tifCountsByIdentifier = await FileAttachment("tif_files@1.json").json();
const tifCounts = await FileAttachment("cdm_metadata_cleaned.csv")
.csv()
.then((data) =>
data.map((d) =>
d["Place name"].split(";").map((place) => ({
identifier: d["Identifier"],
place,
tifCount: tifCountsByIdentifier[d["Identifier"]]
}))
)
);
return _.flatten(tifCounts);
// let _data = await FileAttachment("cdm_metadata_cleaned.csv").csv();
}
publicationYears = FileAttachment("cdm_metadata_cleaned.csv")
.csv()
.then((data) =>
Object.fromEntries(
data.map((d) => [d["Identifier"], +d["Date of publication "]])
)
)
years = await FileAttachment("cdm_metadata_cleaned.csv")
.csv()
.then((data) =>
d3.range(...d3.extent(data, (d) => +d["Date of publication "]))
)
places = await FileAttachment("cdm_metadata_cleaned.csv")
.csv()
.then((data) =>
_.uniq(_.flatten(data.map((d) => d["Place name"].split(";")))).sort()
)
_publicationYears = _.flatten(
await FileAttachment("cdm_metadata_cleaned.csv")
.csv()
.then((data) =>
data.map((d) =>
d["Place name"]
.split(";")
.map((place) => ({
identifier: d["Identifier"],
publicationYear: +d["Date of publication "],
publisher: d["Publisher"],
place
}))
.filter((d) =>
onlyExistingFiles2 ? !missingFolders.includes(d.identifier) : d
)
.filter((d) =>
onlyKelly ? d.publisher.toLowerCase().includes("kelly") : d
)
)
)
).sort((a, b) => a.publicationYear - b.publicationYear)
import { interval } from "@mootari/range-slider"
import { addTooltips } from "@mkfreeman/plot-tooltip"
await FileAttachment("cdm_metadata_cleaned.csv")
.csv()
.then((data) =>
_.uniq(_.flatten(data.map((d) => d["Publisher"].split(";")))).sort()
)
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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.
