Data Processing:

Industry

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

Agriculture

37,700

38,200

36,100

36,100

36,800

42,700

40,700

43,200

40,200

41,100

 

Production

156,700

149,800

158,600

154,400

164,200

173,300

172,300

162,500

165,100

165,700

 

Construction

8,900

93,200

90,000

91,300

89,300

97,000

92,600

102,700

90,800

101,800

 

Retail

345,400

344,500

343,100

347,300

345,100

337,300

357,700

360,200

333,500

347,600

 

ICT

27,800

27,900

26,400

27,200

26,900

35,700

24,000

34,400

58,900

31,500

 

Finance

33,800

29,800

33,200

31,100

32,400

32,400

30,800

31,000

32,100

35,500

 

Real Estate

13,500

14,600

17,600

18,800

18,000

22,200

19,100

22,700

18,200

25,200

 

Professional Service

144,800

145,800

143,600

137,300

149,900

152,900

166,200

161,200

176,400

187,100

 

Public Administration

415,600

418,600

425,600

421,000

427,000

427,600

423,200

418,500

424,500

434,900

 

Other Services

64,200

68,000

72,400

72,800

75,500

73,300

77,200

72,400

83,200

81,800

 

Total

1,248,400

1,330,400

1,346,600

1,337,300

1,365,100

1,394,400

1,403,800

1,408,800

1,422,900

1,452,200

 

                                           

Following is the data set provided by the Wales Government official site. The data set contains the year 2009 2018:

 

Data Analysis:

Which industry employed highest and lowest workers over the period?

The industry which provided the lowest number of employees in the period, is ICT: in the year of 2009 (27,800), it is the lowest in year and over the period (2009 2018). The industry which provided the highest among the rest is the Public Administration which provided most employees over the period (434,900), and through every year. Public administration is the high scorer in every year, providing maximum number of employments as compared to rest.

 

Which industry has highest and lowest overall growth over the period?

The industry of Construction has the highest overall growth over the period with growth of 92,000 over 9 years. The worst growth of the timeline was of the industry of Finance with growth of 1,700.

Which years are the best and worst performing year in relation to number of employment. (Highest and lowest employment)?

When it comes to the least performing year of the rest, the year 2009 is the one to go with; having least number of employments in given timeline. In year 2009 1,248,400 employments were available. Let’s talk about the best performer in the given time period. The year 2018 was the year with most opportunities, providing 1,452,200 employment opportunities.

PCA/Correlation:

The correlation table of the dataset given above is below:

Pearsons r

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2009

 

0.983

0.985

0.984

0.985

0.983

0.985

0.981

0.984

0.981

2010

0.983

 

1.000

1.000

0.999

0.999

0.998

0.999

0.995

0.997

2011

0.985

1.000

 

1.000

1.000

0.999

0.998

0.998

0.995

0.997

2012

0.984

1.000

1.000

 

0.999

0.998

0.998

0.998

0.994

0.995

2013

0.985

0.999

1.000

0.999

 

0.999

0.999

0.998

0.996

0.997

2014

0.983

0.999

0.999

0.998

0.999

 

0.998

0.998

0.996

0.997

2015

0.985

0.998

0.998

0.998

0.999

0.998

 

0.999

0.996

0.998

2016

0.981

0.999

0.998

0.998

0.998

0.998

0.999

 

0.995

0.997

2017

0.984

0.995

0.995

0.994

0.996

0.996

0.996

0.995

 

0.997

2018

0.981

0.997

0.997

0.995

0.997

0.997

0.998

0.997

0.997

 

 

The individual cluster correlation diagram of the years with respect to the industry is given below. The Excel sheet with all the calculation performed on it is also attached.

Clustering:

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups.

Discussion:

The dataset provided to us to perform different type of tasks was of Wales, as the record of the employment based on every year, having classified the data on basis of the industries. The conclusion based on the dataset provided is stated below. Let’s talk briefly with the industry wise comparison and its performance per hear. The conclusion is totally based on the data provided and the Machine Learning tasks perform served.

 Let’s talk about the Agriculture first, the agricultural industry in the wales is not the one the biggest, however it improved around ~9% in the 9 years of data, having created over 10000 more opportunities as compared to 2008. Talking about the Production it is medium based industry which also improved, not too much did improve worth noticing, next on the list is Construction which was not a big industry until 2208, but in the end of 2018 it has improved 1000% over 9 years. Retail, ICT, Finance performed almost the same and showed up the positive performance on the timeline from year 2008 2018. Real Estate, Professional service, Public Administration and other services also performed better. Public Administration being the best employer industry providing half a million opportunities every year. Public Administration undoubtedly outnumbers the performing industries on the list.

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