Table(selection)
parseTime = d3.timeParse("%m/%d/%Y")
choices.map(d=>d.comment_count)
catname = choices.map(d=>d.title)
august = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2020-08"))
september = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2020-09"))
october = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2020-10"))
november = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2020-11"))
december = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2020-12"))
january = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2021-01"))
february = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2021-02"))
march = choices.filter(d=>d3.timeFormat("%Y-%m")(d.trending_date).includes("2021-03"))
selection = soph[month]()
stat = ({
views: () => selection.map(d=>d.view_count),
likes: () => selection.map(d=>d.likes),
comments: () => selection.map(d=>d.comment_count)
})
sed = stat[stats]()
newcatname = [...new Set(catname)]
countriesyoutubeGroupedByTitle = group(selection).by(d=>d.title).run()
topcountriesyoutubeGroupedByTitle = countriesyoutubeGroupedByTitle.filter(d=>d.values.length>8)
USdates = US_youtube.map(d => d.trending_date)
Dates = selection.map(d=>d.trending_date)
Dates[Dates.length-1]
fredo = group(choices).by(d=>d.trending_date).run()
Views
groupTableByDate = d3.group(choices, d=>d.trending_date)
dateRelatedData = groupTableByDate.get(new Date ('2021'))
fredo.filter(d=>d.key.includes('2020-10-08'))
br = fredo.filter(d=>d.key.includes('2020-12'))
br.map(d=>d.key)
Views.map(d=>d.view_count)
USviews = US_youtube.map(d => ({view_count:d.view_count, category:d.category}))
Views = selection.map(d => ({view_count:d.view_count, category:d.category, trending_date:d.trending_date}))
USyoutubeGroupedByCategory = group(US_youtube).by(d=>d.category).run()
countriesyoutubeGroupedByCategory = group(selection).by(d=>d.category).run()
topUSyoutubeCategory = USyoutubeGroupedByCategory.filter(d=>d.values.length>1000 && d.values.length <10000)
topcountriesyoutubeGroupedByCategory = countriesyoutubeGroupedByCategory.filter(d=>d.values.length>2000)
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.
