Input DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 1: Split

name		age	city	weight	isHappy
firstName	split1
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 2: SplitWithTransform

name								age	city	weight	isHappy
firstName	split1	split2	split3	split4	split5	split6	split7
Alice	C	o	o	p	e	r	null	15	London	54	true
Bob	D	y	l	a	n	null	null	45	Dubai	87	true
Charlie	D	a	n	i	e	l	s	20	Moscow	null	false
Charlie	C	h	a	p	l	i	n	40	Milan	null	true
Bob	M	a	r	l	e	y	null	30	Tokyo	68	true
Alice	W	o	l	f	null	null	null	20	null	55	false
Charlie	B	y	r	d	null	null	null	30	Moscow	90	true

Step 3: SplitWithTransform

name								age	city	weight	isHappy
firstName	split1	split2	split3	split4	split5	split6	split7
Alice	C	o	o	p	e	r		15	London	54	true
Bob	D	y	l	a	n			45	Dubai	87	true
Charlie	D	a	n	i	e	l	s	20	Moscow	null	false
Charlie	C	h	a	p	l	i	n	40	Milan	null	true
Bob	M	a	r	l	e	y		30	Tokyo	68	true
Alice	W	o	l	f				20	null	55	false
Charlie	B	y	r	d				30	Moscow	90	true

Output DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	{ char1: C, char2: o, char3: o, ... }	15	London	54	true
Bob	{ char1: D, char2: y, char3: l, ... }	45	Dubai	87	true
Charlie	{ char1: D, char2: a, char3: n, ... }	20	Moscow	null	false
Charlie	{ char1: C, char2: h, char3: a, ... }	40	Milan	null	true
Bob	{ char1: M, char2: a, char3: r, ... }	30	Tokyo	68	true
Alice	{ char1: W, char2: o, char3: l, ... }	20	null	55	false
Charlie	{ char1: B, char2: y, char3: r, ... }	30	Moscow	90	true