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Working with data in public healtha practical pathway with R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Working with data in public healthby Peng Zhao.
Reminder of title:	a practical pathway with R /
Author:	Zhao, Peng.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xiii, 194 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Public healthData processing.
Online resource:	https://doi.org/10.1007/978-981-99-0135-7
ISBN:	9789819901357$q(electronic bk.)

Working with data in public healtha practical pathway with R /
Zhao, Peng.

Working with data in public healtha practical pathway with R /[electronic resource] :by Peng Zhao. - Singapore :Springer Nature Singapore :2023. - xiii, 194 p. :ill., digital ;24 cm.

Part I. Collecting data -- Research design -- Sampling data -- Part II. Processing data -- Cleaning data -- Data types -- Part III. Analyzing data -- Statistics -- Hypothesis testing -- Model -- R packages in public health -- Part IV. Visualizing data -- Basic graphs -- Advanced plotting packages -- Interactive graphs -- Part V. Presenting data -- Data reports -- poster and slides -- Manuscript and Thesis -- Part VI. Managing data -- Project management -- Appendix.

This book provides a complete practical guide of processing data in public health with R language. On the basis of the author's research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.

ISBN: 9789819901357$q(electronic bk.)

Standard No.: 10.1007/978-981-99-0135-7doiSubjects--Topical Terms:

484587
Public health
--Data processing.

LC Class. No.: RA566

Dewey Class. No.: 362.102855133

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505 0 $a Part I. Collecting data -- Research design -- Sampling data -- Part II. Processing data -- Cleaning data -- Data types -- Part III. Analyzing data -- Statistics -- Hypothesis testing -- Model -- R packages in public health -- Part IV. Visualizing data -- Basic graphs -- Advanced plotting packages -- Interactive graphs -- Part V. Presenting data -- Data reports -- poster and slides -- Manuscript and Thesis -- Part VI. Managing data -- Project management -- Appendix.
520 $a This book provides a complete practical guide of processing data in public health with R language. On the basis of the author's research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.
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