Скачать или смотреть 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

👉*Want to get better at data cleaning? Check out my data cleaning course at https://data-cleaning.albert-rapp.de/*

📈 CREATE EFFECTIVE CHARTS
Check out my video course to create insightful data visualizations with ggplot at https://arapp.thinkific.com/courses/i...

📊 ATHLYTICZ DATA SCIENCE COURSES
Use my affiliate code “RAPP10” to get 10% off the fantastic data science courses from Athlyticz at https://athlyticz.com/affiliate-cours...

💼 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:
🔹 Creating automations for handling repetitive time-consuming tasks
🔹 Visualizing data in customized web apps or PDF reports
🔹 Processing data and documents with or without AI
🔹 Integrating new workflows into existing processes
🔹 Teaching / leading workshops

✉️ Interested in collaborating? Reach out at https://workwithalbert.carrd.co/#

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🆕 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}    • How to Easily Solve 10 Common SQL Tasks Wi...  
SQL Databases with {DBI}    • How to Get Data from SQL Databases With R ...  
Version-Control with {renv}    • Robust R Code That Will Work Forever With ...  

MORE VIDEOS
📺 Web Development for R Users    • Web Development For R Users  
📺 ggplot Tutorials    • Beautiful Charts with R & ggplot2 (Step-By...  
📺 ggplot Remakes    • How to Create Diverging Bar Charts With {g...  

Subscribe at 👉    / @rappa753  

MORE CONTENT
weekly 3-minute newsletter about R, DataViz and webdev at https://3mw.albert-rapp.de/
LinkedIn at   / albert-rapp-9a5b9b28b  

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