The Data Analysis Workshop

封面

版权信息

Preface

1. Bike Sharing Analysis

Introduction

Understanding the Data

Data Preprocessing

Hypothesis Tests

Analysis of Weather-Related Features

Time Series Analysis

ARIMA Models

Summary

2. Absenteeism at Work

Introduction

Initial Data Analysis

Initial Analysis of the Reason for Absence

Analysis of Social Drinkers and Smokers

Body Mass Index

Age and Education Factors

Transportation Costs and Distance to Work Factors

Temporal Factors

Summary

3. Analyzing Bank Marketing Campaign Data

Introduction

Initial Data Analysis

Impact of Numerical Features on the Outcome

Modeling the Relationship via Logistic Regression

Linear Regression

Logistic Regression

Summary

4. Tackling Company Bankruptcy

Introduction

Missing Value Analysis

Imputation of Missing Values

Splitting the Features

Feature Selection with Lasso

Summary

5. Analyzing the Online Shopper's Purchasing Intention

Introduction

Importing the Data

Exploratory Data Analysis

Clustering

Summary

6. Analysis of Credit Card Defaulters

Introduction

Importing the Data

Data Preprocessing

Exploratory Data Analysis

Correlation

Building a Profile of a High-Risk Customer

Summary

7. Analyzing the Heart Disease Dataset

Introduction

Summary

8. Analyzing Online Retail II Dataset

Introduction

Data Cleaning

Data Preparation and Feature Engineering

Data Analysis

Activity 8.01: Performing Data Analysis on the Online Retail II Dataset

Summary

9. Analysis of the Energy Consumed by Appliances

Introduction

Summary

10. Analyzing Air Quality

Introduction

About the Dataset

Outliers

Missing Values

Heatmaps

Summary

Appendix

1. Bike Sharing Analysis

2. Absenteeism at Work

3. Analyzing Bank Marketing Campaign Data

4. Tackling Company Bankruptcy

5. Analyzing the Online Shopper's Purchasing Intention

6. Analysis of Credit Card Defaulters

7. Analyzing the Heart Disease Dataset

8. Analyzing Online Retail II Dataset

9. Analysis of the Energy Consumed by Appliances