Data Management Using Stata: A Practical Handbook - Image 1

£57.03

Taylor & Francis Data Management Using Stata: A Practical Handbook

Name: Data Management Using Stata: A Practical Handbook
Brand: Taylor & Francis
Price: 57.03 GBP
Availability: InStock

Econometrics

It has never been this cheap. We have no record of a lower price.

£57 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 36 days • 36 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 36 days • 1 price levels

Days at Price

Price Analysis

Most common price: £57 (36 days, 100.0%)

Price range: £57 - £57

Price levels: 1 different prices over 36 days

Description

This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the “nuts and bolts” examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving―there is a good chance that even the experienced user will learn some new tricks.

Key Features

New Store Stock

Product Specifications

Brand: Taylor & Francis
Format: Paperback
ASIN: 1597183180
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 25 June 2020
Listed Since: 04 June 2020

Barcode

No barcode data available

Taylor & Francis Data Management Using Stata: A Practical Handbook

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Data Management in R: A Guide for Social Scientists

Creating Good Data: A Guide to Dataset Structure and Data Representation

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)

Computing with Data: An Introduction to the Data Industry

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)

Selected Contributions on Statistics and Data Science in Latin America: 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1-5: 301 (Springer Proceedings in Mathematics & Statistics, 301)

People and Data: Uniting to Transform Your Business

Handbook of Data Analysis

Modern Data Visualization with R (Chapman & Hall/CRC The R Series)

Advanced Methods in Statistics, Data Science and Related Applications: SIS 2022, Caserta, Italy, June 22–24: 467 (Springer Proceedings in Mathematics & Statistics, 467)

Effective Data Analysis: Hard and Soft Skills to Accelerate Your Career

Data Analysis for Social Science: A Friendly and Practical Introduction

Telling Stories with Data: With Applications in R (Chapman & Hall/CRC Data Science Series)

Ethical Reasoning in Big Data: An Exploratory Analysis (Computational Social Sciences)

Practical Data Analysis with JMP, Third Edition

R Programming: Statistical Data Analysis in Research

Doing Survey Research: A Guide to Quantitative Methods

DAMA-DMBOK: Guía Del Conocimiento Para La Gestión De Datos

Hands-on Data Analytics for Business

The Data Science Handbook

Practical Data Analysis with JMP, Third Edition

Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations: 3

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

The Data Book: Collection and Management of Research Data (Chapman & Hall/CRC Interdisciplinary Statistics)