Exploratory Data Analysis in R: Towards Data Understanding

In this video, I provide a quick overview on how you can gain data understanding by performing exploratory data analysis.

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⭕ Timeline
0:19 Kicking off the first R Data Science Project "Exploratory Data Analysis"
0:52 Growing your Data science portfolio
1:18 Fire up RStudio.cloud or RStudio
2:32 Perform "Exploratory Data Analysis" in order to gain "Data Understanding"
2:57 Load the Iris dataset (Several ways shown)
3:37 Load Iris Method 2: Download using getURL()
6:33 Playing around with iris dataframe
7:52 Summary statistics
9:27 Look at summary statistics using summary()
10:29 Summation of missing data
11:39 Codes shared at https://github.com/dataprofessor/code...
11:52 skimr library provides a more in-depth summary statistics of dataset

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✅ Python Data Science Handbook : https://amzn.to/37Tvf8n
✅ R for Data Science : https://amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv
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