Hands-On Exploratory Data Analysis with R

Hands-On Big Data Analytics with PySpark will help you build a strong foundation in data analysis and get well-versed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. (Limited-time offer)

Table of Contents

• Section 1: Setting Up Data Analysis Environment
• Setting Up Our Data Analysis Environment
• Importing Diverse Datasets
• Examining, Cleaning, and Filtering
• Visualizing Data Graphically with ggplot2
• Creating Aesthetically Pleasing Reports with knitr and R Markdown
• Section 2: Univariate, Time Series, and Multivariate Data
• Univariate and Control Datasets
• Time Series Datasets
• Multivariate Datasets
• Section 3: Multifactor, Optimization, and Regression Data Problems
• Multi-Factor Datasets
• Handling Optimization and Regression Data Problems
• Section 4: Conclusions

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