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TORRENT DETAILS
Packt - Exploratory Data Analysis With R
TORRENT SUMMARY
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Genre: eLearning | Language: English | Size: 1.83 GB
Harness the skills to analyze your data effectively with EDA and R
Key Features
Explore the most popular and advanced R package to place you on the cutting-edge of technology
Learn what you need to do when you see your data for the first time, through to when you make it ready for modeling activities, and pitfalls to avoid along the way
Includes data and code to practice every concept introduced within the course, to consolidate your learning and turn EDA into a habit
What You Will Learn
Set up your data and code to avoid mistakes and ensure reproducibility
Really understand the structure and content of your data
Build clear plots to evaluate the distribution of your data with ggplot
Construct summaries of your variables with dplyr
Implement data cleaning and validation tasks to get your data ready for data mining activities
Test a hypothesis or check assumptions related to a specific model
Estimate parameters and figure the margins of error
About
The greatest number of mistakes and failures in data analysis comes from not performing adequate Exploratory Data Analysis (EDA). Lack of EDA knowledge can expose you to the great risk of drawing incorrect, and potentially harmful, conclusions from your data analysis.
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[ FreeCourseWeb.com ] Packt - Exploratory Data Analysis with R.zip
