sent_data = FileAttachment("core_devs_only_monthly_sent@3.csv").csv({typed:true})
peak_neg = sent_data.filter(d => d.neg === d3.max(sent_data, d => d.neg)).map(d => d.month)[0]
peak_pos = sent_data.filter(d => d.pos === d3.max(sent_data, d => d.pos)).map(d => d.month)[0]
tot_weekly_commit = extract_weekly_commit()
range_date = d3.extent(contrib_python[0]['weeks'].map(d => d.w))
monthly_newcomers = FileAttachment("monthly_newcomers@1.csv").csv({typed:true})
total_yearly_contrib = FileAttachment("total_count.csv").csv({typed:true})
import { tidy, mutate, arrange, desc, count } from '@pbeshai/tidyjs'
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.
