Pinned Repositories
ada_book
Audit Data Analytics
ada_tutorial
Training Course - Audit Data Analytics in R or Python
adaweb
fauditor website
adawf
Audit Data Analytics Engineering Workflow
auditworkpaper
blogdown
Create Blogs and Websites with R Markdown
faudit
Audit Data Analytics Engineering Workflow
tailwindcss
Consulting services offered by RAudit Solution LLP
tidying-excel-cashflows-blog-companion
stewartli's Repositories
stewartli/ada_tutorial
Training Course - Audit Data Analytics in R or Python
stewartli/faudit
Audit Data Analytics Engineering Workflow
stewartli/tailwindcss
Consulting services offered by RAudit Solution LLP
stewartli/tidying-excel-cashflows-blog-companion
stewartli/ada_book
Audit Data Analytics
stewartli/adaweb
fauditor website
stewartli/adawf
Audit Data Analytics Engineering Workflow
stewartli/auditworkpaper
stewartli/blogdown
Create Blogs and Websites with R Markdown
stewartli/datong_uni
stewartli/dsbook
Repository for data science book
stewartli/fauditor
stewartli/ireports
RMarkdown Business Reports
stewartli/makefile
stewartli/gl2tb
Clean and transform from GL to TB
stewartli/r-source
Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.
stewartli/raudit
stewartli/rauditbookdown
Audit Data Analytics in R For Accounting Professionals
stewartli/reactjs
Bundle my favorite tools together!!!
stewartli/rstudio-conf
Materials for rstudio::conf
stewartli/shinyfit
Fully-featured multivariable regression on your browser via Shiny
stewartli/slides
All my presentations
stewartli/stdotfile
stewartli/stewartli
stewartli/tidytuesday
Official repo for the #tidytuesday project
stewartli/Time-series-analysis-of-Inflation-rates-using-ShinyDashboard
This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded from International Monetary Fund(IMF) which consists of the inflation rates of countries from 1980 to 2017 and the projected inflation rates of the countries till 2022. Finally I will be producing a dashboard build in R to visualize and analyze the inflation rates.