MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03560nam a22002778i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
0000372099 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
0001 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
221209s2022 enk 000|0|eng|d |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC1I9908 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
020393750 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781801072137 (paperback) |
| Terms of availability |
℗Đ33.99 |
|
|---|
| Canceled/invalid ISBN |
9781801079952 (ebook) : |
| Terms of availability |
℗Đ23.99 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
StDuBDS |
| Language of cataloging |
eng |
| Transcribing agency |
StDuBDS |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Edition number |
23 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Item number |
JAF-H |
| Number source |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Jafari, Roy, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Hands-on data preprocessing in Python |
| Medium |
Book : |
| Remainder of title |
learn how to effectively prepare data for successful data analytics / |
| Statement of responsibility, etc. |
Roy Jafari. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 580 pages : |
| Dimensions |
23 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
01 |
| Price amount |
11,781.97 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Key Features Develop the skills to perform data cleaning, data integration, data reduction, and data transformation Make the most of your raw data with powerful data transformation and massaging techniques Perform thorough data cleaning, including dealing with missing values and outliers Book Description Hands-On Data Preprocessing is a primer on the best data cleaning and preprocessing techniques, written by an expert who's developed college-level courses on data preprocessing and related subjects. With this book, you'll be equipped with the optimum data preprocessing techniques from multiple perspectives, ensuring that you get the best possible insights from your data. You'll learn about different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and get to grips with implementing them using the open source Python programming environment. The hands-on examples and easy-to-follow chapters will help you gain a comprehensive articulation of data preprocessing, its whys and hows, and identify opportunities where data analytics could lead to more effective decision making. As you progress through the chapters, you'll also understand the role of data management systems and technologies for effective analytics and how to use APIs to pull data. By the end of this Python data preprocessing book, you'll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques, and handle outliers or missing values to effectively prepare data for analytic tools. What you will learn Use Python to perform analytics functions on your data Understand the role of databases and how to effectively pull data from databases Perform data preprocessing steps defined by your analytics goals Recognize and resolve data integration challenges Identify the need for data reduction and execute it Detect opportunities to improve analytics with data transformation Who this book is for This book is for junior and senior data analysts, business intelligence professionals, engineering undergraduates, and data enthusiasts looking to perform preprocessing and data cleaning on large amounts of data. You don't need any prior experience with data preprocessing to get started with this book. However, basic programming skills, such as working with variables, conditionals, and loops, along with beginner-level knowledge of Python and simple analytics experience, are a prerequisite. |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
All. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
|
|---|
| Topical term or geographic name entry element |
Electronic data processing. |
| 852 ## - LOCATION |
|---|
| Piece designation |
10001000062567 |
| -- |
11781.97 |
| Classification part |
005.133 JAF-H 62567 |
| -- |
Allied Book Company |
| Sublocation or collection |
Ground Floor |
| Former shelving location |
Books |
| Copy number |
1 |
| Piece physical condition |
1-New |
| Location |
JZL-CUI |
