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Working with data in public health =...
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Zhao, Peng.
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Working with data in public health = a practical pathway with R /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Working with data in public health/ by 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.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Public health - Data processing. -
Online resource:
https://doi.org/10.1007/978-981-99-0135-7
ISBN:
9789819901357
Working with data in public health = a practical pathway with R /
Zhao, Peng.
Working with data in public health
a 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
Standard No.: 10.1007/978-981-99-0135-7doiSubjects--Topical Terms:
568442
Public health
--Data processing.
LC Class. No.: RA566
Dewey Class. No.: 362.102855133
Working with data in public health = a practical pathway with R /
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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.
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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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based on 0 review(s)
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電子資源
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1 records • Pages 1 •
1
Inventory Number
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Opac note
Attachments
W9453438
電子資源
11.線上閱覽_V
電子書
EB RA566
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