Comprehensive Data Analysis Report on Work Class and Education

This report presents an analysis of a dataset focusing on work class, education, and demographic factors. The analysis explores relationships between work class, age, race, and education levels. The report examines the distribution of work classes, with specific attention to Federal-gov, and highlights the educational attainment associated with each. The analysis is further segmented by age, revealing patterns in work class and education among different age groups. Race is also analyzed, focusing on the work habits of different racial groups. The report utilizes the WEKA data mining tool for clustering, specifically employing the EM algorithm to group instances based on various attributes. The clustering results, including the number of clusters and clustered instances, are presented, offering insights into the underlying structure of the data. The report provides a detailed overview of the methodology and findings, offering valuable insights into the dataset's characteristics.

Introduction: - This paper examines calls made to find out analysis on Education on
base of work class. As like we have 978 data with different work class, different
continent etc. We have work class define in 8 types. Local-gov, private, self-emp-ic,
self-emp-not-inc, local-gov, Federal-gov, State-Gov, Without-pay, Never-worked.
we have never-worked type work class have 2 people with Hs-grad, some-college.
Marital status married-civ-spoudse, never-married.
Federal-Gov work class mostly education is bachelors and never-married and white
and native country is US.
We have work class mostly are Federal-Gov doing 31 and native county is US.
Based on Age: -
When we analysis on basses of age 18-19 then we get it mostly work class is Private
and education 10th and 12th, and Martial status is never-married, and native country
is US this total count is 46.
When we analysis on basses of age 20-22 then we get it work class Federal-gov is
two data from US. And two data basses work class Local- gov and 53 data belong to
private work class. Age between 20-22 we have data around 59. And mostly are
from US.
Race: - Asian-Pac-Islander we have 13 data and 12 people doing private work class
and mostly in High schools and bachelors. Black race doing avg 40 hours per week
work done by black race. And all black race belongs to US. White race doing avg
work 8 hours per week. We have 142 white race data.
Classify:
Scheme: weka.clusterers.EM -I 100 -N -1 -X 10 -max -1 -ll-cv 1.0E-6 -ll-iter 1.0E-
6 -M 1.0E-6 -K 10 -numb-slots 1 -S 100
Relation: Income_train (2)-weka. filters. unsupervised. attribute. Remove-R3,11-12-
weka. filters. unsupervised. attribute. ReplaceMissingValues
Instances: 977
Attributes: 13
EM: -
Number of clusters selected by cross validation: 6
Number of iterations performed: 22
Clustered Instances: -
0 207 (21%)
1 114 (12%)
2 154 (16%)
3 147 (15%)
4 266 (27%)
5 89 (9%)
Log likelihood: -18.97904

Visualization: -
Visualize: -