官术网_书友最值得收藏!

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.

主站蜘蛛池模板: 虹口区| 吉木萨尔县| 抚州市| 平乡县| 焦作市| 通城县| 龙里县| 平泉县| 英吉沙县| 平泉县| 静宁县| 中山市| 磴口县| 元阳县| 来凤县| 汾西县| 麟游县| 登封市| 乐安县| 平顺县| 丰城市| 玛曲县| 齐河县| 伊宁市| 桃江县| 陵川县| 东阳市| 丰县| 砚山县| 永丰县| 昂仁县| 行唐县| 闸北区| 铅山县| 修文县| 丰原市| 运城市| 谷城县| 绥江县| 阿尔山市| 理塘县|