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Finding Donors For CharityML

Nancy work for Udacity ML Charity Competition

@kaggle.nancyalaswad90_finding_donors_for_charityml

Test Census
@kaggle.nancyalaswad90_finding_donors_for_charityml.test_census

  • 526.73 KB
  • 45222 rows
  • 14 columns
unnamed_0

Unnamed: 0

age

Age

workclass

Workclass

education_level

Education Level

education_num

Education-num

marital_status

Marital-status

occupation

Occupation

relationship

Relationship

race

Race

sex

Sex

capital_gain

Capital-gain

capital_loss

Capital-loss

hours_per_week

Hours-per-week

native_country

Native-country

21 Private 10th6 Married-civ-spouse Craft-repair Husband White Male40 United-States
149 Private Bachelors13 Married-civ-spouse Adm-clerical Wife White Female40 United-States
244 Self-emp-not-inc Assoc-acdm12 Married-civ-spouse Other-service Wife White Female99 United-States
334 Private Bachelors13 Married-civ-spouse Sales Husband White Male729846 United-States
424 Private HS-grad9 Married-civ-spouse Machine-op-inspct Husband White Male40 United-States
552 Private 7th-8th4 Divorced Priv-house-serv Own-child Black Female16 United-States
661 Private 7th-8th4 Married-civ-spouse Transport-moving Husband White Male50 United-States
724 Private HS-grad9 Married-civ-spouse Craft-repair Husband White Male40 United-States
830 Private HS-grad9 Never-married Handlers-cleaners Not-in-family White Male22 United-States
942 Local-gov HS-grad9 Married-civ-spouse Exec-managerial Husband White Male60 United-States

CREATE TABLE test_census (
  "unnamed_0" BIGINT,
  "age" DOUBLE,
  "workclass" VARCHAR,
  "education_level" VARCHAR,
  "education_num" DOUBLE,
  "marital_status" VARCHAR,
  "occupation" VARCHAR,
  "relationship" VARCHAR,
  "race" VARCHAR,
  "sex" VARCHAR,
  "capital_gain" DOUBLE,
  "capital_loss" DOUBLE,
  "hours_per_week" DOUBLE,
  "native_country" VARCHAR
);