Subset the data based on age, sex, or race. Are there any missing values in the data? Which strategy should you use to handle the missing values? Consider if any new variables can be created using the existing variables. Explore the opportunities of transforming numeric variables through binning and transforming categorical variables by creating dummy variables.

Urban	Siblings	White	Christian	FamilySize	Height	Weight	Income
1	8	1	1	5	62	120	0
1	1	1	1	4	64	200	40000
1	1	1	1	3	65	131	25000
0	7	1	0	3	65	179	27400
1	4	1	1	6	66	145	52000
1	1	1	1	3	71	155	55000
1	2	1	1	5	71	180	60000
1	2	1	1	5	67	135	48000
1	1	1	1	4	73	185	0
0	3	1	1	4	63	130	38000
1	2	1	0	2	69	160	48000
1	2	1	0	1	69	155	120000
1	2	1	1	5		120	52000
1	2	1	1	5	62	133	82000
1	1	1	1	4	64	110	36000
1	1	1	0	3	67	125	20000
1	1	1	1	4	63	123
1	1	1	0	4	65	114	24000
1	1	1	0	4	67	146	50000
1	1	1	0	4	64	147	0
1	2	0	1	4	68	150	26000
1	5	1	0	4	70	185	35000
0	3	1	1	5	72	225	0
1	4	1	1	4	67	124	13000
1	4	1	1	4	64	108	44000
1		1	1	4	71	170	57000
1	2	1	1	3	67	175	0
1	3	1	1	3	74	230	115000
1	1	0	1	4	71	210	50000