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project:

DATA VISUALISATION USING R

Learning how to use R and various libraries to integrate into my commercial tool chain.
r data visualisation - 1

Working on insurance industry data using RStudio.

r data visualisation - 2

Various graphs produced while working through the R tutorial.

rm initials logo
project: personal
timeline: Oct-Dec 2023
 

Purpose

Having expanded my knowledge of programming and scripting languages, including DAX, HTML/CSS/JS, SQL, PHP, C/C++/C#, VBA (for developing Excel Add-ins), Node.JS, and Python, along with various tools such as Visual Studio, Visual Studio Code, MongoDB, Arduino IDE, Microsoft Power BI, and Azure, I decided to look at R (same initial after all). 

I worked through a number of tutorials and books, and late 2023 started working through the excellent Modern Data Visualization with R, by Robert Kabacoff (Kabacoff, n.d.).

The purpose of this exercise is to improve my knowledge of R as a data management and visualization tool, and then look at various R packages and tool chain solutions such as Shiny, knitr, Leaflet, R Markdown, and GGPlot2. Then, time permitting, introduce R into my commercial tool chain to further enhance client deliverables.

 

 

business tax and compliance - business tax returns

Brief

Develop a working knowledge of R and key packages and supporting solutions such that R can become part of my commercial tool chain.

Result

Due to the relocation from Hobart to Melbourne in Jan 2024, then recommencement of study with the University of Canberra, and various work commitments, progress through the Modern Data Visualization with R content has taken a back seat at the moment.

Toolchain

  • RGui and various versions of R version 4.3.2
  • RStudio and various libraries (e.g., ggplot2, scales, dplyer)
  • Microsoft Excel to create various data tables for use in R projects
  • Microsoft Power BI to test creation of R visuals

Drowning in data?

Help

Disparate systems? Data quality issues? Inaccurate reporting?  You need help. I can fix your data, systems and processes to reduce risk, improve efficiencies and enhance outcomes.

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