Portfolio

Welcome! This is my first R Shiny project—a collection of simple, interactive apps designed to support biologists working in biodiversity monitoring and species distribution mapping. These apps: Allow users to upload and explore biodiversity datasets Generate interactive maps using leaflet Provide an accessible starting point for visualizing species distribution patterns You can explore the code and try it yourself here:

This article will include code chunks on how I analyze bacterial growth of OD600 data

Hi guys, biocomp is a repository for my bioinformatics and computational biology learning journey. This repository includes scripts and data primarily focused on computational biology, covering a wide range of topics such as:

All this time, without realizing it, I often add the sky to the poetry I write. The sky is always changing and dynamic, this is the reason why no matter what mood you are in when writing poetry there will always be a representative image of the sky.

Welcome! This is a friendly and beginner-accessible open-source book created to help you explore the fascinating world of data visualization—one chart at a time. Through this project, I share: My personal contributions to the 30 Day Chart Challenge Step-by-step R tutorials Clean, reproducible code Practical tips for making compelling and effective charts Whether you’re just starting your data journey or looking to sharpen your data storytelling skills, this book is designed to guide you in an approachable, hands-on way.

Introduction Hi guys, it’s been a long time since my last blog, currently I am working on several projects and have no time to write a blog. But, today I have such a good mood after having a wonderful discussion about arts with my friends.

Overview I primarily use R Studio IDE for Exploratory Data Analysis, visualization, and statistical analysis. In this collection, I listed some of my dashboard created using flexdashboard package. This package allow me to visualise a dashboard using Rmd format.

This article will include code chunks on how I analyze my Spotify playback pctivity in R language. The code chunks cover the data wrangling and data visualization.

A hands-on learning module on computational microbiology, focused on microbial taxonomy, classification, and phylogenetic analysis using R.

Welcome to my visualization gallery. In this post, I posted several visualizations that I created during my undergraduate study.