Leaning R and effectively programming can be a steep learning curve for some, while others just want to improve. I am a self-taught programmer, whose primary language has been R. It was a challenge that motivated me to learn and improve constantly. I can certainly relate and understand the struggles involved throughout that process.
I have continued to push what I know and can do within the language. Over the years, I have created lots of functions, data processing scripts, creative visualizations and 2 R Libraries for customers (not publicly available).
Topics to be covered:
- Using R Projects
- Downloading data in bulk
- Reading in an entire directory
- Evaluating text strings as variables
- Regular Expressions
- Explore web scraping
- Create templates for ggplot settings
- Optimizing your coding
- Parallel processing with just your laptop or desktop computer
- Creating a website in R
- Excel to R functions
- Python to R translations
- Creating functions
- Creating an R package
- Accessing database “X” with R
- Querying database “X” with R
- Surveying data
- Confidence Intervals
- Pivot Tables In R
- Geospatial Plotting
- Geospatial and Temporal Plotting
- Plotting on a map without needing an API
- Spatial Coordinate Conversions
- Date/Time scatter plot variations, w/ and w/out additional data layers
- Planning and Scheduling problems (Operations Research)
- Systematically create PDFs
- Financial Analysis
- Structuring data for better use in Tableau and other data visualization software
- Graphs and networks
Recent Posts with R Code
- Getting Started With Apache Spark Using R (Local)
- PostgreSQL Table Creation and Bulk Insertion
- Julia’s Gadfly for R ggplot2 Users
- Criminal Analysis: Data Storage (Part 3)
- Converting R scripts to Julia (Part 2)
- Converting R scripts to Python (Part 2)
- Getting COVID-19 Data (Julia)
- Getting COVID-19 Data (Python)
- Converting R scripts to Julia (Part 1)
- Getting COVID-19 Data (R)
- Converting R scripts to Python (Part 1)
- Criminal Analysis: Data Exploration (part 2b)
- Criminal Analysis: Data Exploration (part 2a)
- Criminal Analysis: Data Exploration (part 1)
- Criminal Analysis: Data Search (part 4)
- Criminal Analysis: Data Storage (part 2)
- Criminal Analysis: Data Storage
- Criminal Analysis: Data Search (part 3)
- Criminal Analysis: Data Search (part 2)
- Criminal Analysis: Data Search (part 1)
- Criminal Analysis: Data Search (part 0)
- Criminal Analysis: Planning
- Spatial Visualizations in R Part 2
- Working with GeoJSON in R
- Spatial Visualizations in R Part 1
- Project Workflow: Data Analysis
- Project Workflow: Data Exploration
- Project Workflow: Data Transformation
- Project Workflow: Data Preparation
- Project Workflow: Data Storage
- Project Workflow: Data Search
