(NOTE: NEED R SOFTWARE, OR RCMDR) Consider the group of people who got on the subway from 10:00 PM to 10:59 PM (10pm_on in the csv file). Draw a box plot for the group using Rcmdr software. Can you identify any outliers? If so, please interpret in plain language why such subway stations become outliers rather than other stations.

csv file: https://www.file.io/2cGq/download/3PlqQeJ94n1O

no	name	10pm_on
201	City Hall	657
202	Euljiro 1(il)-ga	2077
203	Euljiro 3(sam)-ga	845
204	Euljiro 4(sa)-ga	265
205	Dongdaemun History & Culture Park(DDP)	794
206	Sindang	445
207	Sangwangsimni	279
208	Wangsimni(Seongdong-Gu Office)	672
209	Hanyang Univ.	128
210	Ttukseom	586
211	Seongsu	1192
212	Konkuk Univ.	2399
213	Guui(Gwangjin-gu Office)	526
214	Gangbyeon(Dongseoul Bus Terminal)	551
215	Jamsillaru	168
216	Jamsil(Songpa-gu Office)	4728
217	Jamsilsaenae	819
218	Sports Complex	421
219	Samseong(World Trade Center Seoul)	2241
220	Seolleung	1352
221	Yeoksam	759
222	Gangnam	3277
223	Seoul Natl Univ. of Education	691
224	Seocho	262
225	Bangbae(Baekseok Arts Univ.)	313
226	Sadang	1343
227	Nakseongdae(Ganggamchan)	455
228	Seoul Natl Univ.(Gwanak-gu Office)	1297
229	Bongcheon	442
230	Sillim	1524
231	Sindaebang	369
232	Guro Digital Complex(Wonkwang Digital Univ.)	974
233	Daerim(Guro-gu Office)	456
234	Sindorim	1180
235	Mullae	530
236	Yeongdeungpo-gu Office	365
237	Dangsan	420
238	Hapjeong(Holt Children Services inc)	1862
239	Hongik Univ.	6029
240	Sinchon	2531
241	Ewha Womans Univ.	308
242	Ahyeon(Chugye Univ. for the Arts)	226
243	Chungjeongno(Kyonggi Univ.)	152
244	Yongdap	51
245	Sindap	19
246	Sinseol-dong	52
247	Dorimcheon	17
248	Yangcheon-gu Office	72
249	Sinjeongnegeori	155
250	Yongdu(Dongdaemun-gu Office)	38