Please use R or R studio to solve the following:

Suppose we have the two customer groups profiles as below. What is the average offline spending for the customer group A who match all of the following conditions? What is the average offline spending for the customer group B who match all of the following conditions? Which group of customers spend more in the offline store on average? Suppose the dataset is called sales. How would you code the following to get results?

Customer group As profile

1. Age >= 20
2. Living in Normal
3. Female
4. Customers who posted reviews
5. Customers who live more than 10 miles (> 10) away from the store
6. Customers who never returned products through offline store

Customer group Bs profile

1. Age < 35
2. Income < 85000
3. Loyalty level = low
4. Living in Bloomington
5. Customers who live within 40 miles (<= 40) from the store
6. Customers who never visited online store
7. Customers who purchased products through offline store at least once

age	email	city	sex	distance.to.store	online.visits	online.trans	online.spending	online.return	offline.trans	offline.spending	offline.return	review	income	loyalty
12	yes	bloomington	female	0.91	353	117	832.58	0	2	26.51	0	yes	70538.3	high
23	yes	normal	female	15.35	0	0	0	0	0	0	0	no	72254.83	low
37	yes	bloomington	female	47.48	0	0	0	0	0	0	0	no	74205.44	high
22	yes	bloomington	female	2.28	40	8	68.32	0	2	50.48	2.67	yes	72210.13	med
38	yes	bloomington	female	19.23	80	32	236.48	0	1	15.88	0	yes	73914.73	high
34	yes	bloomington	female	1.22	6	0	0	0	5	57.92	0	no	73819.08	low
16	yes	bloomington	female	2.85	0	0	0	0	1	12.22	0	no	72262.31	med
23	yes	normal	female	2.97	7	4	29.97	0	0	0	0	no	72180.03	med
31	yes	normal	female	60.51	19	4	27.9	0	1	11.87	0	yes	73813.56	high
33	no	normal	female	72.98	2	1	9.13	1.46	0	0	0	no	73500.6	low
25	yes	bloomington	female	14.76	9	2	14.49	0	2	19.67	0	no	72654.17	med