Interpreting the clusters using the top 3 components.
| component | key |
|---|---|
| marital Status | {' Never-married': -0.9, ' Married-civ-spouse': -0.1, ' Divorced': 0.7, ' Married-spouse-absent': 1.6, ' Separated': 2.4, ' Married-AF-spouse': 3.1, ' Widowed':3.9 } |
| sex | {' Male': -0.75, ' Female': 1.45} |
| fnlwgt | -1.8 upto 8 |
| age workclass fnlwgt education education_num marital_status occupation relationship race sex ... Component4 Component5 Component6 Component7 Component8 Component9 Component10 Component11 Component12 Label | |
| 0 0.029411 -1.869799 -1.064913 -0.993444 1.152189 -0.857994 -1.386350 -1.069920 -0.361967 -0.695154 ... -0.884192 -1.154893 -0.381603 -1.499777 -0.322020 -0.950544 0.235116 0.078541 0.445735 1 | |
| 1 0.838632 -1.074884 -1.010422 -0.993444 1.152189 -0.070699 -1.092619 -0.376697 -0.361967 -0.695154 ... -1.014554 -0.416200 -0.455524 -1.024343 -0.255394 -2.341608 0.458212 0.336097 -0.572849 2 | |
| 2 -0.044154 -0.279969 0.233924 -0.698058 -0.425936 0.716596 -0.798888 -1.069920 -0.361967 -0.695154 ... -0.734063 -0.941219 -0.144708 -0.367693 0.759681 -0.286324 -0.044357 -0.174632 0.600966 2 | |
| 3 1.059328 -0.279969 0.413286 -0.402671 -1.214999 -0.070699 -0.798888 -0.376697 1.296910 -0.695154 ... 0.414431 -1.028683 -0.393852 -0.496796 0.684878 -0.138222 1.081454 -0.716558 0.065552 2 | |
| 4 -0.779809 -0.279969 1.388265 -0.993444 1.152 |
| Component1 | Component2 | Component3 | Component4 | Component5 | Component6 | Component7 | Component8 | Component9 | Component10 | Component11 | Component12 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.385096 | -1.743607 | 0.757280 | -0.884192 | -1.154893 | -0.381603 | -1.499777 | -0.322020 | -0.950544 | 0.235116 | 0.078541 | 0.445735 | |
| 1 | 0.377618 | -0.438815 | 1.517646 | -1.014554 | -0.416200 | -0.455524 | -1.024343 | -0.255394 | -2.341608 | 0.458212 | 0.336097 | -0.572849 | |
| 2 | 0.371911 | 0.135254 | 0.196502 | -0.734063 | -0.941219 | -0.144708 | -0.367693 | 0.759681 | -0.286324 | -0.044357 | -0.174632 | 0.600966 | |
| 3 | -0.237800 | 0.444952 | -0.042851 | 0.414431 | -1.028683 | -0.393852 | -0.496796 | 0.684878 | -0.138222 | 1.081454 | -0.716558 | 0.065552 | |
| 4 | -0.663421 | -1.546723 | 1.359329 | 0.604464 | 0.441148 | -0.127318 | 0.498663 | 1.386125 | 0.010999 | 0.200780 | -1.176535 | 0.398386 |
| feature | Value |
|---|---|
| marital_status | 0.490227 |
| sex | 0.405224 |
| fnlwgt | 0.370218 |
| capital_loss | 0.359067 |
| education | 0.290163 |
| pay_grade | 0.259627 |
| race | 0.209083 |
| native_country | 0.187307 |
| # Column Non-Null Count Dtype | |
| --- ------ -------------- ----- | |
| 0 age 5000 non-null int64 | |
| 1 workclass 5000 non-null object | |
| 2 fnlwgt 5000 non-null int64 | |
| 3 education 5000 non-null object | |
| 4 education_num 5000 non-null int64 | |
| 5 marital_status 5000 non-null object | |
| 6 occupation 5000 non-null object | |
| 7 relationship 5000 non-null object |
| age | workclass | fnlwgt | education | education_num | marital_status | occupation | relationship | race | sex | capital_gain | capital_loss | hours_per_week | native_country | pay_grade | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 39 | State-gov | 77516 | Bachelors | 13 | Never-married | Adm-clerical | Not-in-family | White | Male | 2174 | 0 | 40 | United-States | <=50K | |
| 50 | Self-emp-not-inc | 83311 | Bachelors | 13 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 0 | 13 | United-States | <=50K | |
| 38 | Private | 215646 | HS-grad | 9 | Divorced | Handlers-cleaners | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K | |
| 53 | Private | 234721 | 11th | 7 | Married-civ-spouse | Handlers-cleaners | Husband | Black | Male | 0 | 0 | 40 | United-States | <=50K | |
| 28 | Private | 338409 | Bachelors | 13 | Married-civ-spouse | Prof-specialty | Wife | Black | Female | 0 | 0 | 40 | Cuba | <=50K |
| Variable | Type | Missing Values | |
|---|---|---|---|
| 1 | age | Integer | no |
| 2 | workclass | Categorical | yes |
| 3 | fnlwgt | Integer | no |
| 4 | education | Categorical | no |
| 5 | education-num | Integer | no |
| 6 | marital-status | Categorical | no |
| 7 | occupation | Categorical | yes |
| 8 | relationship | Categorical | no |