PowerPoint presentation

For this assignment, you will identify any dataset in the course (see: ~\content –> ~\datasets) and prepare a PowerPoint presentation with data visualizations and graphics from RStudio. Using (6-8 slides) in PowerPoint describe a potential problem related to your chosen dataset. The target audience is a manager who you are trying to convince to initiate a project to investigate the potential issues.

Suggestions:

• Begin with a description of your chosen dataset and describe its significance to the reader
• Where necessary, you may make assumptions about any specifics. 
• You are required to add comments about your content in your presentation notes.

  Only exception is if you create a video. 
  This is always needed if you are not presenting content live

• Draw from the assigned readings (and independent research) to identify what additional topics should be included.

  If you feel that slide information is not self-explanatory, add additional details in the presentation notes.

• Your slides should contain minimal text (one or two lines maximum) that briefly reinforce your data visualizations.

Reply Post

Reply to 2 – 3 posts on your classmates’ posting, providing your thoughts on the issues presented.

Provide your response on whether you (as a manager) would approve/disapprove of the project based on the results of the presentation.

.

9

2

.

No Sun Dinner 3

3

.01

Male No Sun Dinner 3

4

.6

Male No Sun Dinner 2

5

.

1

Female No Sun Dinner 4

6

.

1

Male No Sun Dinner 4

7

2 Male No Sun Dinner 2

8

.

Male No Sun Dinner 4

9

.04

Male No Sun Dinner 2

10

.

Male No Sun Dinner 2

Male No Sun Dinner 2

12

.26

5 Female No Sun Dinner 4

Male No Sun Dinner 2

14

.

3 Male No Sun Dinner 4

15

Female No Sun Dinner 2

Male No Sun Dinner 2

Female No Sun Dinner 3

18

Male No Sun Dinner 3

Female No Sun Dinner 3

Male No

Dinner 3

21

Male No Sat Dinner 2

Female No Sat Dinner 2

23

3

Female No Sat Dinner 2

24

.42

Male No Sat Dinner 4

25

Male No Sat Dinner 2

26

Male No Sat Dinner 4

27

2 Male No Sat Dinner 2

9

2 Male No Sat Dinner 2

29

Male No Sat Dinner 2

5

3 Female No Sat Dinner 2

31

Male No Sat Dinner 2

Male No Sat Dinner 4

33

3 Female No Sat Dinner 2

34

Female No Sat Dinner 4

35

Male No Sat Dinner 2

3.6 Male No Sat Dinner 3

37

2 Male No Sat Dinner 3

Female No Sat Dinner 3

39

1

Male No Sat Dinner 3

5 Male No Sat Dinner 3

Male No Sat Dinner 3

42

Male No Sun Dinner 2

43

Male No Sun Dinner 2

Male No Sun Dinner 2

45

Male No Sun Dinner 4

46

3 Male No Sun Dinner 2

5 Male No Sun Dinner 2

6 Male No Sun Dinner 4

Male No Sun Dinner 3

3 Male No Sun Dinner 2

2.5 Male No Sun Dinner 2

2.6 Female No Sun Dinner 2

Female No Sun Dinner 4

54

Male No Sun Dinner 2

55

Male No Sun Dinner 4

56

Male No Sun Dinner 2

57

3 Male

Sat Dinner 4

58

Female No Sat Dinner 2

59

Male Yes Sat Dinner 2

Male No Sat Dinner 4

20.29

Male Yes Sat Dinner 2

2 Male Yes Sat Dinner 2

Male Yes Sat Dinner 2

18.29

Male Yes Sat Dinner 4

65

Male No Sat Dinner 3

66

Male No Sat Dinner 3

67

5

Female No Sat Dinner 2

68 3.07 1 Female Yes Sat Dinner 1
69

Male No Sat Dinner 2

Male Yes Sat Dinner 2

71

Male No Sat Dinner 2

3 Female No Sat Dinner 3

73

Female Yes Sat Dinner 2

5 Female Yes Sat Dinner 2

75

2.2 Female No Sat Dinner 2

76

Male No Sat Dinner 2

77 17.92

Male Yes Sat Dinner 2

78

4 Male No

4

3 Male No Thur Lunch 2

Male No Thur Lunch 2

81

3 Male Yes Thur Lunch 2

82

Male No Thur Lunch 2

83

3

Female No Thur Lunch 1

5 Male Yes Thur Lunch 2

Male No Thur Lunch 2

86

Female No Thur Lunch 4

2 Male No Thur Lunch 2

88

4 Male No Thur Lunch 2

Male No Thur Lunch 2

6

3 Male No Thur Lunch 2

3 Male Yes

Dinner 2

92

3.5 Male No Fri Dinner 2

93

1 Female Yes Fri Dinner 2

94

4.3 Female Yes Fri Dinner 2

Female No Fri Dinner 2

96

4.73 Male Yes Fri Dinner 4

97

4 Male Yes Fri Dinner 2

98

1.5 Male Yes Fri Dinner 2

3 Male Yes Fri Dinner 2

1.5 Male No Fri Dinner 2

2.5 Female Yes Fri Dinner 2

3 Female Yes Fri Dinner 2

2.5 Female Yes Sat Dinner 3

Female Yes Sat Dinner 2

2

4.08 Female No Sat Dinner 2

Male Yes Sat Dinner 2

4.06 Male Yes Sat Dinner 2

9

Male Yes Sat Dinner 2

3.76 Male No Sat Dinner 2

4 Female Yes Sat Dinner 2

14 3 Male No Sat Dinner 2

1 Female No Sat Dinner 1

4 Male No Sun Dinner 3

Male No Sun Dinner 2

4 Female No Sun Dinner 3

3.5 Female No Sun Dinner 2

Male No Sun Dinner 4

1.5 Female No Thur Lunch 2

1.8 Female No Thur Lunch 2

Female No Thur Lunch 4

2.31 Male No Thur Lunch 2

Female No Thur Lunch 2

2.5 Male No Thur Lunch 2

2 Male No Thur Lunch 2

Female No Thur Lunch 2

4.2 Female No Thur Lunch 6

Male No Thur Lunch 2

2

2 Female No Thur Lunch 2

2 Female No Thur Lunch 2

Male No Thur Lunch 3

1.5 Male No Thur Lunch 2

Female No Thur Lunch 2

1.5 Female No Thur Lunch 2

2 Female No Thur Lunch 2

3.25 Female No Thur Lunch 2

1.25 Female No Thur Lunch 2

2 Female No Thur Lunch 2

2 Female No Thur Lunch 2

16 2 Male Yes Thur Lunch 2

2.75 Female No Thur Lunch 2

3.5 Female No Thur Lunch 2

Male No Thur Lunch 6

5 Male No Thur Lunch 5

5 Female No Thur Lunch 6

2.3 Female No Thur Lunch 2

8.35 1.5 Female No Thur Lunch 2

Female No Thur Lunch 3

Female No Thur Lunch 2

Male No Thur Lunch 2

2 Male No Thur Lunch 2

2.5 Male No Sun Dinner 2

2 Male No Sun Dinner 2

Male No Sun Dinner 3

2 Male No Sun Dinner 4

2 Male No Sun Dinner 4

Female No Sun Dinner 5

5 Male No Sun Dinner 6

25

Female No Sun Dinner 4

Female No Sun Dinner 2

2 Male No Sun Dinner 4

3.5 Male No Sun Dinner 4

6

2.5 Male No Sun Dinner 2

2 Female No Sun Dinner 3

13.81 2 Male No Sun Dinner 2

3 Female Yes Sun Dinner 2

3.48 Male No Sun Dinner 3

2.24 Male No Sun Dinner 2

4.5 Male No Sun Dinner 4

Female Yes Sat Dinner 2

2 Female Yes Sat Dinner 2

10 Male Yes Sat Dinner 3

3.16 Male Yes Sat Dinner 2

7.25

Male Yes Sun Dinner 2

3.18 Male Yes Sun Dinner 2

4 Male Yes Sun Dinner 2

Male Yes Sun Dinner 2

2 Male Yes Sun Dinner 2

2 Male Yes Sun Dinner 2

9.6 4 Female Yes Sun Dinner 2

Male Yes Sun Dinner 2

Male Yes Sun Dinner 4

Male Yes Sun Dinner 2

3.5 Male Yes Sun Dinner 3

7

Male Yes Sun Dinner 4

3 Male Yes Sun Dinner 2

5 Male No Sun Dinner 5

20.9 3.5 Female Yes Sun Dinner 3

2 Male Yes Sun Dinner 5

3.5 Female Yes Sun Dinner 3

23.1 4 Male Yes Sun Dinner 3

1.5 Male Yes Sun Dinner 2

Female Yes Thur Lunch 2

Male Yes Thur Lunch 2

2.02 Male Yes Thur Lunch 2

4 Male Yes Thur Lunch 2

Male No Thur Lunch 2

2 Male Yes Thur Lunch 2

5 Female Yes Thur Lunch 4

13 2 Female Yes Thur Lunch 2

2 Male Yes Thur Lunch 2

4 Male Yes Thur Lunch 3

2.01 Female Yes Thur Lunch 2

13 2 Female Yes Thur Lunch 2

16.4 2.5 Female Yes Thur Lunch 2

4 Male Yes Thur Lunch 4

3.23 Female Yes Thur Lunch 3

Male Yes Sat Dinner 3

3 Male Yes Sat Dinner 4

2.03 Male Yes Sat Dinner 2

2.23 Female Yes Sat Dinner 2

2 Male Yes Sat Dinner 3

Male Yes Sat Dinner 4

9 Male No Sat Dinner 4

2.5 Female Yes Sat Dinner 2

6.5 Female Yes Sat Dinner 3

1.1 Female Yes Sat Dinner 2

3 Male Yes Sat Dinner 5

1.5 Male Yes Sat Dinner 2

1.44 Male Yes Sat Dinner 2

Female Yes Sat Dinner 4

2.2 Male Yes Fri Lunch 2

13.42 3.48 Female Yes Fri Lunch 2

Male Yes Fri Lunch 1

15.98 3 Female No Fri Lunch 3

13.42

Male Yes Fri Lunch 2

2.5 Female Yes Fri Lunch 2

2 Female Yes Fri Lunch 2

3 Male No Sat Dinner 4

Male No Sat Dinner 2

Female Yes Sat Dinner 2

2 Male Yes Sat Dinner 4

15.69 3 Male Yes Sat Dinner 3

3.39 Male No Sat Dinner 2

Male No Sat Dinner 2

3 Male Yes Sat Dinner 2

10.07 1.25 Male No Sat Dinner 2

12.6 1 Male Yes Sat Dinner 2

1.17 Male Yes Sat Dinner 2

Female No Sat Dinner 3

Male No Sat Dinner 3

2 Female Yes Sat Dinner 2

2 Male Yes Sat Dinner 2

Male No Sat Dinner 2

3 Female No Thur Dinner 2

	total_bill	tip	sex	smoker	day	time	size
								1	1						6		9	1.01																																																																																							Female																																																																																																																																																							No																																																																												Sun																																																																																																																																																																																Dinner																																																																																																																																																																																														2
		10																																																														3																																																		4	1.	66																																																																																																																																																													Male
	21	3.																5
	23	8	3.	31
	24	59		3.6
		25	29	4.	7
8.	77
	26	88	3.	12
	15	1.	96
		14	78		3.23
11	10.	27	1.	71
	35
		13	15.	42	1.	57
	18	43
14.	83	3.02
	16	21.	58	3.	92
17	10.	33	1.	67
16.29	3.71
19	16.	97								3.5
20	20.	65	3.35																																																																																							Sat
	17.92		4.08
22		20.29	2.	75
15.77			2.2
	39	7.58
19.	82		3.18
17.	81	2.	34
13.	37
28	1	2.6
21.7		4.3
30	1	9.6
9.	55	1.	45
32	1	8.35										2.5
15.06
20.	69	2.45
17.78	3.27
36	2	4.06
16.31
38	16.	93		3.07
18.69			2.3
40	31.27
41	16.04		2.24
17.	46	2.	54
13.	94	3.06
44	9.	68	1.32
30.4	5.6
	18.29
47	2	2.23
48	32.4
49	28.55	2.05
50	18.04
51	12.54
52	10.29
53	34.81	5.2
9.94	1.	56
25.56	4.34
19.49	3.51
38.01																																																																																													Yes
26.41									1.5
11.24	1.	76
60	48.27	6.	73
61	3.21
62		13.81
63	11.02	1.	98
64		3.76
17.59	2.64
20.08	3.15
	16.4	2.47
20.23		2.01
70	15.01	2.09
1	2.02	1.97
72	17.07
26.	86	3.14
74	25.28
1	4.73
10.51			1.25
3.08
27.2																																																														Thur																																																																				Lunch
79	22.76
80	17.29	2.71
19.44
16.66	3.4
	10.07		1.8
84	32.68
85		15.98		2.03
34.83	5.17
87	13.03
18.28
89	24.71	5.85
90	2	1.1
91	28.97																			Fri
22.49
5.75
16.32
95	2	2.75		3.25
40.17
27.28
12.03
99	21.01
100	12.46
101	11.35
102	15.38
103	44.3
104	22.42			3.48
105		20.9
106	15.36	1.64
107	20.49
108	25.21		4.2
109	18.24
110	14.31
111
112		7.25
113	38.07
114	23.95	2.55
115	25.71
116	17.31
117	29.93	5.07
118	10.65
119	12.43
120	24.08	2.92
121	11.69
122			13.42	1.68
123	14.26
124	15.95
125	12.48	2.52
126	29.8
127	8.52	1.48
128	1	4.5
129	11.38
130	22.82	2.18
131	19.08
132	20.27	2.83
133	1	1.17
134	12.26
135	18.26
136	8.51
137	10.33
138	14.15
139
140	1	3.16
141	17.47
142	34.3	6.7
143	41.19
144	27.05
145	16.43
146
147	18.64	1.36
148	11.87	1.63
149	9.78	1.73
150	7.51
151	14.07
152	13.13
153	17.26	2.74
154	24.55
155	19.77
156	29.85	5.14
157	48.17
158	3.75
159	1	3.39	2.61
160	16.49
161	21.5
162		12.6
163	16.21
164
165	17.51
166	24.52
167	20.76
168	31.71
169	10.59	1.61
170	10.63
171	50.81
172	15.81
173	5.15
174	31.85
175	16.82
176	32.9	3.11
177	17.89
178	14.48
179
180	34.63	3.55
181	34.65	3.68
182	23.33	5.65
183	45.35
184		23.1		6.5
185	40.55
186	20.69
187
188	30.46
189	18.15
190
191		15.69
192	19.81	4.19
193	28.44	2.56
194	15.48
195	16.58
196	7.56		1.44
197	10.34
198	43.11
199
200	13.51
201	18.71
202	12.74
203
204
205	20.53
206	16.47
207	26.59	3.41
208	38.73
209	24.27
210	12.76
211	30.06
212	25.89	5.16
213	48.33
214	13.27
215	28.17
216	12.9
217	28.15
218	11.59
219	7.74
220	30.14	3.09
221	12.16
222
223	8.58	1.92
224
225	1.58
226	16.27
227	10.09
228	20.45
229	13.28	2.72
230	22.12	2.88
231	24.01
232
233	11.61
234	10.77	1.47
235	15.53
236
237
238	32.83
239	35.83	4.67
240	29.03	5.92
241	27.18
242	22.67
243	17.82	1.75
244	18.78

Data Visualizations using R: Titanic Dataset

Analyzing & Visualizing Data – Dr. Timothy McGee

Aug 5, 2020

Dataset
Titanic tragedy claimed 1500 lives while 700 survived the tragedy
Hypothesis: Is there any inherent bias towards one of the following categories of the survivors – Gender, Relations and/or Class

The titanic dataset contains masked values in ‘pclass’ column where 1st = Upper, 2nd = Middle and 3rd = Lower
2

Overall Survival Rate

64% of passangers did not survive while 36% did
3

Survival Rate by Ticket Class & Gender

67% of Females survived while only 23% of Males Survived. 62% od 1st Class Passengers survived while only 21% Survived in third class.
4

Survival Rate by Ticket Class & Gender

97% first class females survived while 3% of third class males did.
5

Survival Rate by Age

6

Survival Rate by Age, Gender & Class

7

Conclusion
Bias towards gender and class is apparent from the graphs and could also possible mean just a correlation.
Needs further investigation to verify if there was bias towards categorical classes of survivors (Class 3, Middle Aged, Female & Children)

Results from further investigation can prove if there exists not only correlation by also causation between the independent variables (Age, Sex and Pclass) and dependent variable.
8

potential problem related to dataset

Venkata pradeep

University of the Cumberlands

Analyzing & Visualizing Data (ITS-530-11) – Second Bi-Term

Dr. Timothy McGee

August 5, 2020

Introduction of Dataset:

Here, I have chosen production of rice in Indonesia dataset. Indonesia is one of the largest country in terms of world rice production.

Indonesia is experiencing a rapid increase in rice production as its demand for rice in the developing world increases at a very high rate.

Therefore, this is very high growth rate for these region. Indonesia is producing some million tones of rice. it is easy to estimate the rice production in various regions.

Fields in Dataset:
The production of rice in indonesia dataset contain 171 observations in the panel and the data frames contains:
the farm identifier,
the total area cultivated with rice, measured in hectares
land status, on of owner, share and mixed
Varieties as traditional, high yielding and mixed, Bimas, seed, region, wage, price and so on.

Scatter plot:
Here the data is represented in a visual format by using the scatter plot.
Based on the regions that the rice is produced we create a plot that shows wages and sizes of the rice production

Box plot:
The scatter plot is used to visualize the data among size and bimas where it is dropdown with the attribute of status. For each size the data is divided by bims and plotted in scatterplot .

Histogram Plot:
Histogram is created for each region where the production of rice gives the clear visual representation of wages and its values.
There are six regions in the dataset, each represent the individual wage count on status.

Reference:
Aditya, T., Maria-Unger, E., Bennett, R., Saers, P., Lukman Syahid, H., Erwan, D., … & Hanafi, I. (2020). Participatory Land Administration in Indonesia: Quality and Usability Assessment. Land, 9(3), 79.
Kirk, A. (2016). Data visualisation: A handbook for data driven design. Sage.