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smithsPROJECT
Our report
First, we imported the Adult Census Income data from Kaggle.
We split our data into qualitative and quantitative data frames
qualitative variables includes, workclass, education, marital.status, occupation, relationship, race, sex, native country, and income
quantitative variables includes: age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
qual_vars_dist
quant_vars_dist
Cleaning data
We cleaned our data into easy to read bar graphs
Rows: 32561 Columns: 15
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): workclass, education, marital.status, occupation, relationship, rac...
dbl (6): age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 32561 Columns: 15
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): workclass, education, marital.status, occupation, relationship, rac...
dbl (6): age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 32561 Columns: 15
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): workclass, education, marital.status, occupation, relationship, rac...
dbl (6): age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 32561 Columns: 15
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): workclass, education, marital.status, occupation, relationship, rac...
dbl (6): age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 32561 Columns: 15
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): workclass, education, marital.status, occupation, relationship, rac...
dbl (6): age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 32561 Columns: 15
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): workclass, education, marital.status, occupation, relationship, rac...
dbl (6): age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 32561 Columns: 15
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): workclass, education, marital.status, occupation, relationship, rac...
dbl (6): age, fnlwgt, education.num, capital.gain, capital.loss, hours.per.week
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Regression
\[income_i = \beta_0 + \beta_1 education_i + \beta_2 age_i + \beta_3 marital.status + \beta_4 sex_i +\beta_1 capital.gain_1 + \epsilon_i\]
