A simple way to create multi-level statistic tables that integrates with the dplyr syntax.
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Updated
Jun 25, 2017 - R
A simple way to create multi-level statistic tables that integrates with the dplyr syntax.
The objective is to analyze the usage patterns of annual members and casual riders to gain insights that will inform a new marketing strategy. We aim to design effective strategies to convert casual riders into annual members and maximize Cyclistic's growth potential.
Unpivot complex and irregular data layouts in R https://nacnudus.github.io/unpivotr/
This repository highlights my expertise in data analysis through a curated selection of projects. Each project utilizes R, SQL, Excel, and Tableau to extract, transform, and visualize data, providing valuable insights and actionable recommendations. Explore these projects to gain a deeper understanding of my data analysis capabilities.
This is an Excel analysis of data collected by Penda Health on typhoid cases of children under 5 years of age in different clinics in Kenya.
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