Estimation statistics, craft beer, data visualization, web scraping, poetry
df.columns() // lists the columns
df.columns().sepal_length.data // pulling out the raw data (for a column of interest) as an Array.
df.column("sepal_length").data // alternatively
// order by `sepal_length` (default is ascending), then view first five rows.
df.orderby("sepal_length").view(5)
// groupby species and compute mean.
df
.groupby("species")
.rollup({
mean_sepal_length: d => op.mean(d.sepal_length),
sd_sepal_length: d => op.stdev(d.sepal_length),
mean_sepal_width: d => op.mean(d.sepal_width),
sd_sepal_width: d => op.stdev(d.sepal_width),
count: op.count()
})
.view()
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.
