R For Data Science

Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Size: 14.41 MB
Format: PDF, ePub, Mobi
View: 934
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"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--Page 4 of cover.

R F R Data Science

Author: Hadley Wickham
Publisher: O'Reilly
ISBN: 3960101546
Size: 54.26 MB
Format: PDF, ePub
View: 4657
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R für Data Science ist geeignet für Leser ohne vorherige Programmierkenntnisse und zielt darauf ab, dass Sie Techniken der Data Science so schnell wie möglich in der Praxis umsetzen können.

R In A Nutshell

Author: Joseph Adler
Publisher: O'Reilly Germany
ISBN: 3897216507
Size: 76.74 MB
Format: PDF, Kindle
View: 765
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Wozu sollte man R lernen?

Data Science F R Dummies

Author: Lillian Pierson
Publisher: John Wiley & Sons
ISBN: 352780675X
Size: 33.58 MB
Format: PDF, Kindle
View: 829
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Von Lillian Pierson bekommen Sie das dafï¿1⁄2r notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel und KNIME.

Methods For Data Science Iii Data Visualization And R

Author: James Godfrey
Publisher: Lulu.com
ISBN: 1329714873
Size: 66.41 MB
Format: PDF, Docs
View: 6480
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The reader is referred to the R HELP function for a more complete listing of the
features of this function. The availability of database information is becoming
much wider than Excel files, for example, and we briefly mention several sources
of delimited text data files which can be imported to R – see the table below. In
general, throughout this reference we will use Excel spreadsheet file for data
import and export. These are easily manipulated in the windows environment
and the reader ...

Data Science Using Oracle Data Miner And Oracle R Enterprise

Author: Sibanjan Das
Publisher: Apress
ISBN: 1484226143
Size: 47.79 MB
Format: PDF, Mobi
View: 3119
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Export. and. Import. an. ODM. Workflow. You can use the export and import
workflow option in SQL Developer to export the data mining workflow and
recreate it in a different environment with ease. You can also utilize this
functionality to store a backup copy of your workflow as and when you do some
significant enhancements on it. The development environment is a place where a
lot of ...

Modern Data Science With R

Author: Benjamin S. Baumer
Publisher: CRC Press
ISBN: 1498724493
Size: 47.91 MB
Format: PDF, Kindle
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Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton. 1.3.6. EXERCISES
315 Exercise 13.5 Write a full table schema for the mtcars data set and import it
into the database server of your choice. Exercise 13.6 Write a full table schema
for the two tables in the fueleconomy package and import them into the database
server of your choice. Exercise 13.7 Write a full table schema for the five tables in
the nasaweather package and import them into the database server of your

Python For R Users

Author: Ajay Ohri
Publisher: John Wiley & Sons
ISBN: 1119126762
Size: 64.30 MB
Format: PDF, Kindle
View: 1801
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The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to ...

Practical Data Science Cookbook

Author: Prabhanjan Tattar
Publisher: Packt Publishing Ltd
ISBN: 178712326X
Size: 34.97 MB
Format: PDF
View: 3292
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Ordinal data is just like categorical data, with one exception. There is a sense of
scale or value to the data. It can be said that one value is larger than another, but
the magnitude of the difference cannot be measured. Furthermore, when
importing data into R, we often run into the situation where a column of numeric
data might contain an entry that is non-numeric. In this case, R might import the
column of data as factors, which is often not what was intended by the data