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How to aggregate data in R - summarize data by groups

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Why would you need to aggregate/summarize data by groups? Well, suppose a client wants to know the average income by zip code or the percentage of people who voted for a particular politician by county. This video will show you how to do that type of aggregation using the R Programming Language.
For more information visit Parsimony Inc. online:
Hi! Today I'm talking about how to aggregate/summarize data by groups using the R Programming Language.
✨ And if you like this video, consider subscribing to Parsimony using this Link! ⤵️
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Welcome to Parsimony - Videos on tools and strategies for running a lean and mean one-person/solo consulting business 📊
On my channel, I cover tips on how to save time on the administrative tasks associated with running your solo data consulting business and I also give tips on how to use data to answer questions for clients.
➡️ My name is Amanuel Medhanie, I am a data scientist that has been running his own consulting business since 2012. Throughout my decade in the business, I have accumulated lots of great tips and lessons that I would love to pass on to you!
Following along with my videos will help you avoid tons of mistakes that myself and many others had to experience because resources like these were not available.
➡️ The bulk of my content will be focused on using the R Programming Language which is a simple and robust programming language centered around all of your data analytics, data management, data analysis, and reporting needs.
So, definitely subscribe to my channel and hit the bell icon to never miss a video! 🔔
*************
✅ Connect with Parsimony on social media:
📈 Visit Parsimony Online!
*************
⏱ Chapters:
*************
#Parsimony #Rpackages #R #rprogramming #parsimonyinc
0:00 Intro
0:43 Visual example
1:18 Reasons for aggregation
1:37 Versions used
1:50 Importing CSV data
2:10 View data
2:20 Grouping data
3:40 Summarize data
7:14 Viewing aggregate data
7:50 Please subscribe
For more information visit Parsimony Inc. online:
Hi! Today I'm talking about how to aggregate/summarize data by groups using the R Programming Language.
✨ And if you like this video, consider subscribing to Parsimony using this Link! ⤵️
*************
Welcome to Parsimony - Videos on tools and strategies for running a lean and mean one-person/solo consulting business 📊
On my channel, I cover tips on how to save time on the administrative tasks associated with running your solo data consulting business and I also give tips on how to use data to answer questions for clients.
➡️ My name is Amanuel Medhanie, I am a data scientist that has been running his own consulting business since 2012. Throughout my decade in the business, I have accumulated lots of great tips and lessons that I would love to pass on to you!
Following along with my videos will help you avoid tons of mistakes that myself and many others had to experience because resources like these were not available.
➡️ The bulk of my content will be focused on using the R Programming Language which is a simple and robust programming language centered around all of your data analytics, data management, data analysis, and reporting needs.
So, definitely subscribe to my channel and hit the bell icon to never miss a video! 🔔
*************
✅ Connect with Parsimony on social media:
📈 Visit Parsimony Online!
*************
⏱ Chapters:
*************
#Parsimony #Rpackages #R #rprogramming #parsimonyinc
0:00 Intro
0:43 Visual example
1:18 Reasons for aggregation
1:37 Versions used
1:50 Importing CSV data
2:10 View data
2:20 Grouping data
3:40 Summarize data
7:14 Viewing aggregate data
7:50 Please subscribe
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