Group dataset with different series

I have the following dataset:

    this.data = [
      { discipline: 1, originalBudgetDollars: 1114.96 },
      { discipline: 2, originalBudgetDollars: 192 },
      { discipline: 1, expendedDollars: 1137.24 },
      { discipline: 2, expendedDollars: 55.08 },
      { discipline: 1, forecastAtCompletionDollars: 1276.62 },
      { discipline: 2, forecastAtCompletionDollars: 96 },
      { discipline: 1, earnedValueDollars: 81.6 },
      { discipline: 2, earnedValueDollars: 10636.6 }
    ];

I would like to end up with the following dataset:

NOTE: the resulting dataset has a new column (remainingDollars) which is the difference between originalBudgetDollars and expendedDollars.

    this.data = [
      { discipline: 1, originalBudgetDollars: 1114.96, expendedDollars: 1137.24, remainingDollars: -22.28, forecastAtCompletionDollars: 1276.62, earnedValueDollars: 81.6 },
      { discipline: 2, originalBudgetDollars: 192, expendedDollars: 55.08,  remainingDollars: 136.92, forecastAtCompletionDollars: 96, earnedValueDollars: 10636.6 },
    ];

Is there a way to group on a series (e.g. discipline) while maintaining all of the unique series, and for icing on the cake… add a new series which is the result of a function?

[tunneling]

Works like a charm! Thank you.

[ashleydavis]

Another thing is that you could dynamically generate allCols using Object.entries:

return new DataFrame(array)
  .groupBy((row) => row.discipline)
    .select((group) => {
          let allCols = {}
          // Known parameters
          const first = group.first();
          for (const [key, value] of Object.keys(first)) {
              allCols[key] = first[key];
          }
          // Unknown or "dynamic" parameters
          _.forEach(group.toArray(), function(value, key){
            allCols[value.parameter] = value.value
          })
          return allCols;
        })
    })
    .inflate()
    .orderBy(row => row.discipline)
    .toArray();