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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Proyecto Sprint 10 – A/B Testing y Decisiones de Negocio (TripleTen)\n\n## 📌 Descripción / Description\n**Español:**  \nEste proyecto corresponde al **Sprint 10** del Bootcamp de Data Analysis en TripleTen.  \nEl objetivo fue realizar un **análisis de pruebas A/B** para evaluar el impacto de un nuevo diseño de producto en métricas clave del negocio, aplicando técnicas de **estadística inferencial e hipótesis**.  \n\n**English:**  \nThis project corresponds to **Sprint 10** of the Data Analysis Bootcamp at TripleTen.  \nThe goal was to conduct an **A/B test analysis** to evaluate the impact of a new product design on key business metrics, applying **inferential statistics and hypothesis testing**.  \n\n---\n\n## 🎯 Objetivos / Objectives\n- Calcular y comparar métricas clave como tasa de conversión (CR) y valor promedio de pedido (AOV).  \n- Evaluar la **significancia estadística** de las diferencias observadas.  \n- Detectar **anomalías** y limpiar datos inconsistentes.  \n- Formular conclusiones para la **toma de decisiones de negocio**.  \n\n---\n\n## 🛠️ Tecnologías / Tools\n- Python (Pandas, NumPy, SciPy, Matplotlib, Seaborn)  \n- Jupyter Notebook  \n- Estadística inferencial (pruebas de hipótesis, p-value, z-test)  \n\n---\n\n## 📊 Resultados / Results\n**Español:**  \n- El grupo B mostró una **mayor tasa de conversión** de forma estadísticamente significativa.  \n- No hubo diferencias relevantes en el valor promedio de pedido.  \n- Se recomendó **adoptar el diseño del grupo B**, ya que genera más ingresos sin afectar negativamente otras métricas.  \n\n**English:**  \n- Group B showed a **higher conversion rate** with statistical significance.  \n- No relevant differences were found in the average order value.  \n- The recommendation was to **adopt Group B’s design**, since it increases revenue without negatively affecting other metrics.  \n\n---\n\n## 📑 Feedback del Revisor / Reviewer Feedback\n**Español:**  \n- ✅ Buen uso de pruebas estadísticas y visualizaciones.  \n- ⚠️ Se sugirió mejorar la claridad de las conclusiones.  \n- ✔️ Se implementaron correcciones en el notebook final para fortalecer la interpretación de resultados.  \n\n**English:**  \n- ✅ Good use of statistical tests and visualizations.  \n- ⚠️ Suggested to improve clarity in conclusions.  \n- ✔️ Corrections were implemented in the final notebook to strengthen result interpretation.  \n\n---\n\n✍️ *Autor / Author:* Lai Yi Peña Ching\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flaipching%2Fsprint10_ab_testing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flaipching%2Fsprint10_ab_testing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flaipching%2Fsprint10_ab_testing/lists"}