Ultimate Pandas for Data Manipulation and Visualization: Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library (
Firdose, Tahera
商品描述
Unlock the power of Data Manipulation with Pandas. Book Description
Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights. Table of Contents
1. Introduction to Pandas and Data Analysis
2. Pandas Series
3. Pandas DataFrame
4. Data Cleaning with Pandas
5. Data Filtering with Pandas
6. Grouping and Aggregating Data
7. Reshaping and Pivoting in Pandas
8. Joining and Merging Data in Pandas
9. Introduction to Time Series Analysis in Pandas
10. Visualization Using Matplotlib
11. Analyzing Bank Customer Churn Using Pandas
Index
Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights. Table of Contents
1. Introduction to Pandas and Data Analysis
2. Pandas Series
3. Pandas DataFrame
4. Data Cleaning with Pandas
5. Data Filtering with Pandas
6. Grouping and Aggregating Data
7. Reshaping and Pivoting in Pandas
8. Joining and Merging Data in Pandas
9. Introduction to Time Series Analysis in Pandas
10. Visualization Using Matplotlib
11. Analyzing Bank Customer Churn Using Pandas
Index
商品描述(中文翻譯)
解鎖 Pandas 的數據處理能力。
書籍描述
解鎖 Pandas 的力量，這是進行數據分析和處理的基本 Python 函式庫。本書全面指導您從基礎到進階技術，確保您掌握 Pandas 的每一個方面。您將從 Pandas 和數據分析的介紹開始，接著深入探討 Pandas 的 Series 和 DataFrame，這兩個核心數據結構。
學習數據清理和過濾的基本技能，並掌握分組和聚合技術，以有效地總結和分析您的數據集。發現如何重塑和透視數據，聯接和合併多個數據集，以及處理時間序列分析。
使用 Matplotlib 增強您的數據分析，並通過分析銀行客戶流失的實際案例來應用您的知識。通過實作範例和實際案例，本書為您提供清理、過濾、聚合、重塑、合併和有效視覺化數據的工具，將其轉化為可行的見解。
目錄
1. Pandas 和數據分析介紹
2. Pandas Series
3. Pandas DataFrame
4. 使用 Pandas 進行數據清理
5. 使用 Pandas 進行數據過濾
6. 數據的分組和聚合
7. 在 Pandas 中重塑和透視
8. 在 Pandas 中聯接和合併數據
9. Pandas 中的時間序列分析介紹
10. 使用 Matplotlib 進行視覺化
11. 使用 Pandas 分析銀行客戶流失
索引
