- Data Science for Marketing Analytics
- Tommy Blanchard Debasish Behera Pranshu Bhatnagar
- 69字
- 2021-06-11 13:45:52
Chapter 2
Data Exploration and Visualization
Learning Objectives
By the end of this chapter, you will be able to:
- Create summaries, aggregations, and descriptive statistics from your data
- Reshape pandas DataFrames to detect relationships in data
- Build pivot tables and perform comparative analysis and tests
- Create effective visualizations through Matplotlib and seaborn
This chapter explains how to derive various descriptive statistics and generate insights and visualizations from your data.
推薦閱讀
- 過程控制工程及仿真
- Java實用組件集
- 并行數據挖掘及性能優化:關聯規則與數據相關性分析
- 數控銑削(加工中心)編程與加工
- Windows 8應用開發實戰
- Mastering Elastic Stack
- AutoCAD 2012中文版繪圖設計高手速成
- OpenStack Cloud Computing Cookbook
- Salesforce for Beginners
- Hands-On Data Warehousing with Azure Data Factory
- Machine Learning Algorithms(Second Edition)
- ASP.NET 2.0 Web開發入門指南
- 貫通開源Web圖形與報表技術全集
- Eclipse全程指南
- PowerPoint 2003中文演示文稿5日通