I need Q3, Q4 and Q5 file in a report file of around 1200 words. You will see the Instruction in Instructions pdf file. For Q3, you will do data analytics in ora

Header description The data in the data file appear in the order shown below. Therefore, the first data column is the ID and the last column in the data file is the Spending Score. Attribute: Attribute Type and Descriptions —————— ———————————————– 1. CustomerID Numerical Instance or record ID of customer, from 1 to 1000 2. Age Numerical Age for the customer ID, Maximum = 70, Minimum = 18 3. Gender Categorical F refers to female customer, M refers to male customer 4. Annual Income Numerical Annual income of in $K dollar for the customer ID, Maximum = 137K, Minimum = 15K 5. Subscription Binary 1 refers to customer has subscribed to promotional email, 0 refers to customer hasn’t subscribed to promotional email 6. Satisfaction Categorical L refers to low level of customer satisfaction towards the service provided at the store, M refers to medium level of customer satisfaction towards the service provided at the store, H refers to high level of customer satisfaction towards the service provided at the store 7. Spending Score Numerical Score (from 1 to 100) given to the customer ID based on the money spent and the behaviour of the customer. The more the customer spends, the higher the score. Maximum = 99, Minimum = 1

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How does a job order cost sheet help managers make decisions? Imagine you are a political writer with your own blog. You write about current events and what they mean for the U.S. government and its citizens. You have been

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CustomerID	Age	Gender	Annual Income	Subscription	Satisfaction	Spending Score
1	19	M	15	1	L	39
2	21	M	15	1	H	81
3	20	F	16	1	L	6
4	23	F	16	1	M	77
5	31	F	17	1	L	40
6	22	F	17	1	M	76
7	35	F	18	1	L	6
8	23	F	18	1	H	94
9	64	M	19	1	L	3
10	30	F	19	1	M	72
11	67	M	19	1	L	14
12	?	F	19	1	H	99
13	58	F	20	1	L	15
14	24	F	20	1	M	77
15	37	M	20	1	L	13
16	22	M	20	1	H	79
17	35	F	21	1	L	35
18	20	M	21	1	M	66
19	52	M	23	1	L	29
20	35	F	23	1	H	98
21	35	M	24	1	L	35
22	25	M	24	1	M	73
23	46	F	25	1	L	5
24	31	M	25	0	M	73
25	54	F	?	0	L	14
26	29	M	28	0	H	82
27	45	F	28	0	L	32
28	35	M	28	0	M	61
29	40	F	29	0	L	31
30	23	F	29	0	H	87
31	60	M	30	0	L	4
32	21	F	30	0	M	73
33	53	M	33	0	L	4
34	18	M	33	0	H	92
35	49	F	33	1	L	14
36	21	F	33	1	H	81
37	42	F	34	1	L	17
38	30	F	34	1	M	73
39	36	F	37	1	L	26
40	20	F	37		M	75
41	65	F	38	1	L	35
42	24	M	38	1	H	?
43	48	M	39	1	L	36
44	31	F	39	1	M	61
45	49	F	39	?	L	28
46	24	F	39	1	M	65
47	50	F	40	1	M	55
48	?	F	40	1	L	47
49	29	F	40	1	L	42
50	31	F	40	1	L	42
51	49	F	42	1	M	52
52	33	M	42	1	M	60
53	31	F	43	1	M	54
54	59	M	43	1	M	60
55	50	F	43	1	L	45
56	47	M	43	1	L	41
57	51	F	44	0	M	50
58	69	M	44	0	L	46
59	27	F	46	0	M	51
60	53	M	46	0	L	46
61	?	M	46	0	M	56
62	19	M	46	0	M	55
63	67	F	47	0	M	52
64	54	F	47	0	H	?
65	63	M	48	0	M	51
66	18	M	48	0	M	59
67	43	F	?	0	M	50
68	68	F	?	0	L	48
69	19	M	?	0	M	59
70	32	F	48	0	L	47
71	70	M	49	0	M	55
72	47	F	49	0	L	42
73	60	F	50	0	L	49
74	60	F	50	0	M	56
75	59	M	54	0	L	47
76	26	M	54	0	M	54
77	45	F	54	0	M	53
78	40	M	54	0	L	48
79	23	F	54	0	M	52
80	?	F	54	0	L	42
81	57	M	54	0	M	51
82	38	M	54	0	M	55
83	?	M	54	0	L	41
84	46	F	54	0	L	44
85	21	F	54	0	M	57
86	48	M	54	0	L	46
87	55	F	57	1	M	58
88	22	F	57	1	M	55
89	34	F	58	1	M	60
90	50	F	58	1	L	46
91	68	F	59	1	M	55
92	18	M	59	1	L	41
93	48	M	60	1	L	49
94	40	F	60	1	L	40
95	32	F	60	1	L	42
96	24	M	60	1	M	52
97	47	F	60	1	L	47
98	27	F	60	1	H	?
99	48	M	61	?	L	42
100	20	M	61	1	L	49
101	23	F	62	1	L	41
102	49	F	62	1	L	48
103	67	M	62	1	M	59
104	26	M	62	1	M	55
105	49	M	62	1	M	56
106	21	F	62	1	L	42
107	66	F	63	1	M	50
108	54	M	63	1	L	46
109	68	M	63	1	L	43
110	66	M	63	0	L	48
111	65	M	63	0	M	52
112	19	F	63	0	M	54
113	38	F	64	0	L	42
114	19	M	64	0	L	46
115	18	F	65	0	L	48
116	19	F	65	0	M	50
117	63	F	65	0	L	43
118	49	F	65	0	M	59
119	51	F	67	0	L	43
120	50	F	67	0	M	57
121	27	M	67	1	M	56
122	38	F	67	1	L	40
123	40	F	69	1	M	58
124	39	M	69	1	H	91
125	23	F	70	1	L	29
126	31	F	?	1	M	77
127	43	M	71	1	L	35
128	40	M	71	1	H	95
129	59	M	71	1	L	11
130	38	M	71	1	M	75
131	47	M	71	1	L	9
132	39	M	71	1	M	75
133	25	F	72	1	L	34
134	31	F	72	1	M	71
135	20	M	73	1	L	5
136	29	F	?	1	H	88
137	44	F	73	1	L	7
138	32	M	73	1	M	73
139	19	M	74	1	L	10
140	35	F	74	1	M	72
141	57	F	75	1	L	5
142	32	M	75	1	H	93
143	28	F	76	1	L	40
144	32	F	76	0	H	87
145	25	M	77	0	L	12
146	28	M	77	0	H	97
147	48	M	77	0	L	36
148	32	F	77	0	M	74
149	34	F	78	0	L	22
150	34	M	78	0	H	90
151	43	M	78	0	L	17
152	39	M	78	0	H	88
153	44	F	78	0	L	20
154	38	F	78	0	M	76
155	47	F	78	0	L	16
156	27	F	78	0	H	89
157	37	M	78	0	L	1
158	30	F	78	0	H	78
159	34	M	78	0	L	1
160	30	F	78	0	M	73
161	56	F	79	0	L	35
162	29	F	79	0	H	83
163	19	M	81	0	L	5
164	31	F	81	0	H	93
165	50	M	85	0	L	26
166	36	F	85	0	M	75
167	42	M	86	0	L	20
168	33	F	86	0	H	95
169	36	F	87	0	L	27
170	32	M	87	0	M	63
171	40	M	87	0	L	13
172	28	M	87	0	M	75
173	36	M	87	0	L	10
174	36	M	87	0	H	92
175	52	F	88	0	L	13
176	30	F	88	0	H	86
177	58	M	88	0	L	15
178	?	M	88	0	M	69
179	59	M	93	0	L	14
180	35	M	93	0	H	90
181	37	F	97	0	L	32
182	32	F	97	0	H	86
183	46	M	98	0	L	15
184	29	F	98	0	H	88
185	41	F	99	1	L	39
186	30	M	99	1	H	97
187	54	F	101	1	L	24
188	28	F	101	1	M	68
189	41	F	103	1	L	17
190	36	F	103	1	H	85
191	34	F	103	1	L	23
192	32	F	103	1	M	69
193	33	M	113	1	L	8
194	38	F	113	1	H	91
195	47	F	120	1	L	16
196	35	F	120	1	H	79
197	45	F	126	1	L	28
198	32	M	126	1	M	74
199	32	M	137	1	L	18
200	30	M	137	1	H	83
201	30	F	88	1	H	86
202	58	M	88	1	L	15
203	27	M	88	1	M	69
204	59	M	93	1	L	14
205	35	M	93	1	H	90
206	37	F	97	1	L	32
207	32	F	97	0	H	86
208	46	M	98	0	L	15
209	29	F	98	0	H	88
210	41	F	99	0	L	39
211	30	M	99	0	H	97
212	54	F	101	0	L	24
213	28	M	101	0	M	68
214	41	F	103	0	L	17
215	36	F	103	0	H	85
216	40	M	71	0	H	95
217	59	M	71	0	L	11
218	38	M	71	0	M	75
219	47	M	71	0	L	9
220	39	M	71	0	M	75
221	25	F	72	0	L	34
222	31	F	72	0	M	71
223	20	M	73	0	L	5
224	29	F	73	0	H	88
225	44	F	73	0	L	7
226	32	M	73	0	M	73
227	19	M	74	0	L	10
228	35	F	74	0	M	72
229	57	F	75	0	L	5
230	32	M	75	0	H	93
231	28	F	76	0	L	40
232	32	F	76	0	H	87
233	25	M	77	0	L	12
234	28	M	77	0	H	97
235	48	M	77	0	L	36
236	32	F	77	0	M	74
237	34	F	78	0	L	22
238	34	M	78	0	H	90
239	43	M	78	0	L	17
240	39	M	78	0	H	88
241	44	F	78	0	L	20
242	38	F	78	0	M	76
243	28	M	101	0	M	68
244	41	F	103	0	L	17
245	36	F	103	0	H	85
246	36	F	37	0	L	26
247	20	F	37	0	M	75
248	65	F	38	0	L	35
249	24	M	38	0	H	92
250	48	M	39	0	L	36
251	31	F	39	0	M	61
252	49	F	39	1	L	28
253	24	F	39	1	M	65
254	50	F	40	1	M	55
255	27	F	40	1	L	47
256	29	F	40	1	L	42
257	31	F	40	1	L	42
258	49	F	42	1	M	52
259	33	M	42	1	M	60
260	31	F	43	1	M	54
261	59	M	43	1	M	60
262	50	F	43	1	L	45
263	47	M	43	1	L	41
264	51	F	44	1	M	50
265	69	M	44	1	L	46
266	27	F	46	1	M	51
267	53	M	46	1	L	46
268	70	M	46	1	M	56
269	19	M	46	1	M	55
270	67	F	47	1	M	52
271	?	F	47	1	M	59
272	?	M	48	1	M	51
273	?	M	101	1	M	68
274	41	F	103	0	L	17
275	36	F	103	0	H	85
276	25	M	100	0	H	85
277	30	F	88	0	H	86
278	58	M	88	0	L	15
279	27	M	88	0	M	69
280	59	M	93	0	L	14
281	35	M	93	0	H	90
282	37	F	97	0	L	32
283	32	F	97	0	H	86
284	46	M	98	0	L	15
285	29	F	98	0	H	?
286	41	F	99	0	H	?
287	30	M	99	0	H	?
288	54	F	101	0	L	24
289	28	M	101	0	M	68
290	41	F	103	0	L	17
291	36	F	103	0	H	85
292	25	M	67	0	L	19
293	35	M	100	0	H	85
294	38	F	105	0	L	35
295	30	M	88	0	H	86
296	58	M	88	0	L	15
297	27	M	88	0	M	69
298	59	M	93	0	L	14
299	35	M	93	0	H	90
300	37	F	97	0	L	32
301	32	F	97	0	H	86
302	46	M	98	0	L	15
303	29	F	98	0	H	88
304	41	F	99	0	L	39
305	30	M	99	0	H	97
306	54	F	101	0	L	24
307	28	M	101	0	M	68
308	41	F	103	0	L	17
309	36	F	103	0	H	85
310	63	M	48	0	M	51
311	28	M	101	0	M	68
312	41	F	103	0	L	17
313	36	F	103	0	H	85
314	25	M	100	0	H	85
315	30	F	88	0	H	86
316	58	M	88	0	L	15
317	27	M	88	0	M	69
318	59	M	93	0	L	14
319	35	M	93	1	H	90
320	37	F	97	1	L	32
321	32	F	97	1	H	86
322	46	M	98	1	L	15
323	29	F	98	1	H	88
324	41	F	99	1	L	39
325	30	M	99	1	H	97
326	54	F	101	1	L	24
327	59	M	93	1	L	14
328	35	M	93	1	H	90
329	37	F	97	1	L	32
330	32	F	97	1	H	86
331	46	M	98	1	L	15
332	29	F	98	1	H	88
333	41	F	99	1	L	39
334	30	M	99	1	H	97
335	54	F	101	1	L	24
336	28	M	101