1. Run qplot() and ggplot() functions in R [please see my R scripts for qplot() Download qplot()and ggplot() Download ggplot()to know how to run those functions] or use SPSS on at least five different variables in engagement.csv datasets and provide the graphs of their distributions in either MS Word or PDF format. You can choose any variables for plotting the graphs. Please also share the R scripts and SPSS outcome file you use for me to know how you have used R or SPSS to prepare the graphs. Do make sure to run most of the commands I have listed to make yourself familiar with R plotting (In case you use R). 2. The dataset has 17 variables. Based on your observations on their distributions and descriptive statistics, please list which variables are nominal, ordinal, and interval-ratio.

DepartmentGroupNumber	GroupSize	PercentMale	NumberTeamLeads	NumberFeMaleTeamLeads	Location	LondonorNot	Function	EMPsurvEngage_1	EMPsurvEngage_2	EMPsurvEngage_3	EMPsurvEngage_4	EMPsurvEngage_5	EMPsurvEngage_6	EMPsurvEngage_7	EMPsurvEngage_8	EMPsurvEngage_9
1	13	100	2	0	3	2	1	100	100	100	85	100	92	92	77	77
2	41	67	6	0	2	1	1	93	98	93	90	100	88	90	59	85
3	28	65	4	2	3	2	1	89	96	96	82	100	74	89	57	93
4	43	65	6	0	3	2	1	93	93	88	60	98	67	88	47	81
5	10	25	1	0	2	1	2	100	100	100	100	100	100	100	70	100
6	25	54	4	2	3	2	1	100	100	96	76	100	80	88	76	92
7	27	35	4	2	3	2	2	85	100	89	78	96	81	89	85	74
9	60	25	9	0	2	1	2	100	83	83	77	85	65	90	62	68
10	53	25	8	0	1	1	2	100	83	85	83	87	68	89	64	70
11	18	52	3	0	3	2	1	100	89	89	61	94	72	89	50	83
12	31	24	4	0	1	1	2	100	100	100	87	94	87	97	68	90
13	30	25	4	0	2	1	2	100	100	97	77	100	83	97	80	97
14	10	35	1	0	1	1	2	100	90	90	80	100	90	100	50	90
15	50	76	7	2	2	1	1	96	90	90	74	90	76	86	72	80
16	47	65	7	3	2	1	1	96	98	93	68	100	91	96	63	74
17	47	65	7	0	3	2	2	79	66	49	36	72	64	83	32	30
18	18	65	3	1	1	1	2	100	100	94	78	100	94	89	72	78
19	28	67	4	0	1	1	2	96	86	86	54	96	57	89	82	82
20	14	85	2	1	2	1	1	71	71	57	50	93	57	86	57	64
21	55	65	8	0	1	1	2	96	91	95	84	96	87	91	78	87
22	40	67	6	0	3	2	2	90	95	88	78	93	75	90	65	83
23	21	75	3	2	3	2	1	95	100	100	95	95	86	100	95	100
24	22	45	3	0	3	2	2	100	91	91	77	91	91	91	68	91
25	17	58	2	1	1	1	1	88	76	76	65	88	41	82	41	47
26	62	75	9	0	1	1	1	87	84	76	65	89	58	81	39	69
27	33	87	5	0	3	2	1	79	64	52	73	58	58	61	33	58
28	12	58	2	0	1	1	1	100	75	58	75	75	67	58	50	42
29	11	33	2	0	1	1	2	100	91	100	82	100	82	100	73	91
30	17	32	2	0	1	1	2	100	100	100	94	100	88	100	88	94
31	14	75	2	1	1	1	1	93	93	93	79	86	86	86	79	93
32	11	100	2	0	1	1	1	64	45	45	55	55	36	73	64	36
33	10	57	1	0	3	2	1	100	100	100	50	100	60	90	70	80