Directory of Astronomical Data Files

Directory of Astronomical Data Files
Author :
Publisher :
Total Pages : 292
Release :
ISBN-10 : PSU:000005683468
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Directory of Astronomical Data Files by : National Space Science Data Center

Download or read book Directory of Astronomical Data Files written by National Space Science Data Center and published by . This book was released on 1978 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Directory of Astronomical Data Files Related Books

Directory of Astronomical Data Files
Language: en
Pages: 292
Authors: National Space Science Data Center
Categories: Astronomy
Type: BOOK - Published: 1978 - Publisher:

DOWNLOAD EBOOK

R Packages
Language: en
Pages: 201
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2015-03-26 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and docum
Directory Structure for the Archival of Large Amount of Data Files
Language: en
Pages: 25
Authors:
Categories:
Type: BOOK - Published: 2002 - Publisher:

DOWNLOAD EBOOK

In trials & military missions, thousands of data files may be acquired by different sensors operated by independent teams, resulting in a complete mess of data
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
Introduction to Data Science
Language: en
Pages: 794
Authors: Rafael A. Irizarry
Categories: Mathematics
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis ch