jackdaw | Java Annotation Processor which allows to simplify | Build Tool library

Is this what you need?

Consider reshape to re-structure your data from wide to long format and then aggregate by year, month, or assigned season.

Input

in you css, wrap the style in ::ng-deep

If this is your HTML:

Spacy NER model training includes the extraction of other "implicit" features, such as POS and surrounding words.

When you attempt to train on single words, it is unable to get generalized enought features to detect those entities.

Take, for instance, this example extracted from Spacy's own training tutorial:

If you can accept a simplified tags object (not a nested list), you could do it iteratively like this. Notice also that I've replaced the first word in tags with capital S.

This is a sample of one line of the OP's XML file
109555912.69

The OP wants to use the IMPORTXML function to report the ID and Name as well as the Job Cost from the XML data. Presently, the OP's formula is:
=importxml("link","//job-base-cost")

There are two options:
1 - One long column
=importxml("link","//@id | //@name | //job-base-cost")

Note //@id and //@name in the xpath query: // indicate nodes in the document (at any level, not just the root level) and @ indicate attributes. The pipe | operator indicates AND. So the plain english query is to display the id, name and job-base-cost.

2 - Three columns (table format)
={IMPORTXML("link","//@name"),IMPORTXML("link","//job-base-cost"),IMPORTXML("link","//@id")}

This creates a series that will display the fields in each of three columns.

Note: there is an arrayformula that uses a single importXML function described in How do I return multiple columns of data using ImportXML in Google Spreadsheets?. Readers may want to look at whether that option can be implemented.

My thanks to @Tanaike for his comment which spurred me to look at how xpath works.

You can only export things with a name, an IIFE has no name:

This has been a huge pain for me as well. The issue seems to be that the latest released version of Toree does not yet support spark 2.x.

The solution is to install it from source. This gist walks you through the steps to install it on ubuntu: https://gist.github.com/mikecroucher/b57a9e5a4c1a1a2045f30a901b186bdf

The short version is:

Install sbt: https://www.scala-sbt.org/1.0/docs/Setup.html

I can help with a data.table and ggplot2 solution:

First, you'll need to make your wide table a long one with melt. Then, you're looking for position = "stack" argument to geom_bar:

Also, please notice that naming data a table is bad idea, as there's a function called data().