Proyectos Análisis Datos En Python, SQL Y R

Portfolio de proyectos de Análisis de Datos en Python, SQL y R

@kaggle.rcurioso_proyectos_anlisis_datos_en_r_y_python

Table List

6 tables(1.28 MB)

Ventas

Productos

Canales

Tiendas

Dataset Banco

Personas

Dataset Banco

@kaggle.rcurioso_proyectos_anlisis_datos_en_r_y_python.dataset_banco

374.62 KB
45215 rows
17 columns

age Age	job Job	marital Marital	education Education	default Default	balance Balance	housing Housing	loan Loan	contact Contact	day Day	month Month	duration Duration	campaign Campaign	pdays Pdays	poutcome Poutcome	y Y
58	management	married	tertiary	no	2143	yes	no	unknown	5	may	261	1	-1	unknown	no
44	technician	single	secondary	no	29	yes	no	unknown	5	may	151	1	-1	unknown	no
33	entrepreneur	married	secondary	no	2	yes	yes	unknown	5	may	76	1	-1	unknown	no
47	blue-collar	married	unknown	no	1506	yes	no	unknown	5	may	92	1	-1	unknown	no
33	unknown	single	unknown	no	1	no	no	unknown	5	may	198	1	-1	unknown	no
35	management	married	tertiary	no	231	yes	no	unknown	5	may	139	1	-1	unknown	no
28	Management	single	tertiary	no	447	yes	yes	unknown	5	may	217	1	-1	unknown	no
42	entrepreneur	div.	tertiary	yes	2	yes	no	unknown	5	may	380	1	-1	unknown	no
58	retired	married	primary	no	121	yes	no	unknown	5	may	50	1	-1	unknown	no
43	technician	single	secondary	no	593	yes	No	unknown	5	may	55	1	-1	unknown	no


CREATE TABLE dataset_banco (
  "age" BIGINT,
  "job" VARCHAR,
  "marital" VARCHAR,
  "education" VARCHAR,
  "default" VARCHAR,
  "balance" DOUBLE,
  "housing" VARCHAR,
  "loan" VARCHAR,
  "contact" VARCHAR,
  "day" BIGINT,
  "month" VARCHAR,
  "duration" DOUBLE,
  "campaign" BIGINT,
  "pdays" DOUBLE,
  "previous" BIGINT,
  "poutcome" VARCHAR,
  "y" VARCHAR
);