Weave derived columns and groupby plotting

Created on October 5|Last edited on October 5

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Creating derived columnsTo do this, feed tabular data into the .map() op.
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[{a: 5, b: 7}, {a: 6, b: 9}, {a: 5, b: 10}, {a: 5, b: 11}, {a: 7, b: 19}].map((row) => {a: row["a"], a2: (row["a"] * 2)})
 - 3 of 5
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Run set1480
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Here is the same thing but plotted
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Run set1480
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Group by plottingThis is a group by followed by a map
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[{a: 5, b: 7}, {a: 6, b: 9}, {a: 5, b: 10}].groupby((row) => row["a"]).map((row, index) => {key: row.groupkey, bMin: row["b"].min, bAvg: row["b"].avg, bMax: row["b"].max})
 - 2 of 2
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bMin
bAvg
bMax
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[{a: 5, b: 7}, {a: 6, b: 9}, {a: 5, b: 10}].groupby((row) => row["a"]).map((row, index) => {key: row.groupkey, bMin: row["b"].min, bAvg: row["b"].avg, bMax: row["b"].max})
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