Including all NAICS six-digit industries.

This project analyzes Cyclistic's bike-sharing usage data to uncover differences in riding patterns between casual riders and annual members. The analysis includes data cleaning, exploration, and visualization to identify key trends and insights. The findings are used to provide actionable recommendations aimed at converting casual riders to annual members. The project includes a detailed R script for data processing and a Tableau dashboard for interactive visualization, making it a comprehensive resource for strategic decision-making.

Taller de diseño de experimento, libro DISEÑO Y ANÁLISIS DE EXPERIMENTOS, segunda edición Douglas C. Montgomery - Universidad Estatal de Arizona.

September 19, 2024

By: Ben Feshbach | Date: September 19, 2024 | Data source: Clean Growth Tool county-level backend data

This week on our sports dataset, we performed probability analysis and visualized some insights using group_by function.