- Applied Supervised Learning with R
- Karthik Ramasubramanian Jojo Moolayil
- 74字
- 2021-06-11 13:22:30
Chapter 2:
Exploratory Analysis of Data
Learning Objectives
By the end of this chapter, you will be able to:
- Define a problem statement with industry standard frameworks
- Perform univariate and bivariate analysis
- Explain multivariate analysis
- Perform hypothesis testing
- Perform data wrangling using the dplyr and reshape2 packages
- Visualize data using the ggplot2 package
In this chapter, we will acquaint learners with techniques to clean, transform, and visualize data in order to get useful insights.
推薦閱讀
- 新媒體跨界交互設計
- 龍芯應用開發標準教程
- Deep Learning with PyTorch
- Artificial Intelligence Business:How you can profit from AI
- 基于Apache Kylin構建大數據分析平臺
- Intel Edison智能硬件開發指南:基于Yocto Project
- 單片機開發與典型工程項目實例詳解
- RISC-V處理器與片上系統設計:基于FPGA與云平臺的實驗教程
- 電腦組裝與維護即時通
- FreeSWITCH Cookbook
- 可編程邏輯器件項目開發設計
- Angular 6 by Example
- Blender 3D By Example
- Raspberry Pi Home Automation with Arduino
- FPGA進階開發與實踐