8 Things I Wish I'd Known Before Using R In Business

I show you 8 things I wish I'd known before using R in Business šŸ‘‰*Want to get better at data cleaning? Check out my data cleaning course at https://data-cleaning.albert-rapp.de/* šŸ“ˆ CREATE EFFECTIVE CHARTS Check out my video course to create insightful data visualizations with ggplot at https://arapp.thinkific.com/courses/i... šŸ“Š ATHLYTICZ DATA SCIENCE COURSES Use my affiliate code ā€œRAPP10ā€ to get 10% off the fantastic data science courses from Athlyticz at https://athlyticz.com/affiliate-cours... šŸ’¼ WORK WITH ME With 3+ years of experience building automations and data solutions, I help businesses save time and streamline their workflows. Here's, how I typically help clients: šŸ”¹ Creating automations for handling repetitive time-consuming tasks šŸ”¹ Visualizing data in customized web apps or PDF reports šŸ”¹ Processing data and documents with or without AI šŸ”¹ Integrating new workflows into existing processes šŸ”¹ Teaching / leading workshops āœ‰ļø Interested in collaborating? Reach out at https://workwithalbert.carrd.co/# ======================= šŸ†• MORE WEEKLY CONTENT Looking for more content? My 3-Minute Wednesday newsletter got you covered. Every week I shared bite-sized data-science tricks at https://3mw.albert-rapp.de/subscribe LINKS Databases with {dbplyr}    • HowĀ toĀ EasilyĀ SolveĀ 10Ā CommonĀ SQLĀ TasksĀ Wi...Ā Ā  SQL Databases with {DBI}    • HowĀ toĀ GetĀ DataĀ fromĀ SQLĀ DatabasesĀ WithĀ RĀ ...Ā Ā  Version-Control with {renv}    • RobustĀ RĀ CodeĀ ThatĀ WillĀ WorkĀ ForeverĀ WithĀ ...Ā Ā  MORE VIDEOS šŸ“ŗ Web Development for R Users    • WebĀ DevelopmentĀ ForĀ RĀ UsersĀ Ā  šŸ“ŗ ggplot Tutorials    • BeautifulĀ ChartsĀ withĀ RĀ &Ā ggplot2Ā (Step-By...Ā Ā  šŸ“ŗ ggplot Remakes    • HowĀ toĀ CreateĀ DivergingĀ BarĀ ChartsĀ WithĀ {g...Ā Ā  Subscribe at šŸ‘‰ Ā Ā Ā /Ā @rappa753Ā Ā  MORE CONTENT weekly 3-minute newsletter about R, DataViz and webdev at https://3mw.albert-rapp.de/ LinkedIn at Ā Ā /Ā albert-rapp-9a5b9b28bĀ Ā  TIMECODES 00:00 Intro 00:33 Managing Multiple Projects 02:26 Installing Allowed Packages 03:58 Managing Package Versions 06:45 Dealing With Proxies 08:41 Setting Environment Variables 11:05 Working With Cloud Storage in AWS S3 15:39 Simpler File Storage 17:28 Working with databases #rstats #datascience #dataviz #ggplot #dplyr #shiny #quarto