En esta sección se presenta el análisis descriptivo de la variable Tipo de Pozo. Al tratarse de una variable cualitativa nominal, los datos se organizan mediante tablas de frecuencia y representaciones gráficas que permiten observar la distribución de los diferentes tipos de pozos. Asimismo, se identifica la moda, que corresponde al tipo de pozo con mayor frecuencia dentro del conjunto de datos.

Evalución frecuenta Trabajo en ejercicio en R studio y Presentaciones.

Three-model comparison for predicting loan approval outcomes (4,269 records). Covers logistic regression, decision tree, and random forest — each evaluated with a confusion matrix, feature importance plot, and ROC/AUC score. Built as a reusable modeling template for datathon competition prep.

Dokumen ini berisi visualisasi data kategorik dan data numerik perdagangan antar wilayah Indonesia setiap provnsi.

Visual exploration of a loan approval dataset (4,269 records) covering target variable balance, numeric and categorical distributions, correlation heatmap, and bivariate analysis of key predictors against loan outcome. Built as a reusable EDA template for datathon competition prep.

Data cleaning workflow for a loan approval dataset (4,269 records). Covers column standardization, type conversion, missing value audit, outlier capping, and feature engineering. Built as a reusable template for datathon competition prep.