Easy R: access, prepare, visualize, explore data, and write papers
"This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne
SAGE
[2021]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second chapter shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website"-- |
| Beschreibung: | Literaturangaben |
| Beschreibung: | xiii, 178 Seiten Diagramme |
| ISBN: | 9781544379418 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV046994999 | ||
| 003 | DE-604 | ||
| 005 | 20210208 | ||
| 007 | t | ||
| 008 | 201112s2021 xxu|||| |||| 00||| eng d | ||
| 020 | |a 9781544379418 |c paperback |9 978-1-5443-7941-8 | ||
| 035 | |a (OCoLC)1150758052 | ||
| 035 | |a (DE-599)KXP1671340396 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-19 |a DE-N2 | ||
| 050 | 0 | |a H61.3 | |
| 082 | 0 | |a 300.285/5133 | |
| 084 | |a MR 2100 |0 (DE-625)123488: |2 rvk | ||
| 100 | 1 | |a Gohmert, Elizabeth |e Verfasser |0 (DE-588)1213405912 |4 aut | |
| 245 | 1 | 0 | |a Easy R |b access, prepare, visualize, explore data, and write papers |c Elizabeth Gohmert, Quan Li and Douglas Wise |
| 264 | 1 | |a Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne |b SAGE |c [2021] | |
| 300 | |a xiii, 178 Seiten |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Literaturangaben | ||
| 520 | 3 | |a "This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second chapter shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website"-- | |
| 653 | 0 | |a Social sciences / Research / Data processing | |
| 653 | 0 | |a Social sciences / Statistical methods | |
| 653 | 0 | |a R (Computer program language) | |
| 700 | 1 | |a Li, Quan |d 1966- |e Verfasser |0 (DE-588)14280892X |4 aut | |
| 700 | 1 | |a Wise, Douglas |e Verfasser |0 (DE-588)1213406560 |4 aut | |
| 856 | 4 | 2 | |u https://www.gbv.de/dms/bowker/toc/9781544379418.pdf |v 2020-10-18 |x Aggregator |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032402788 | ||
Datensatz im Suchindex
| _version_ | 1804181939679133696 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Gohmert, Elizabeth Li, Quan 1966- Wise, Douglas |
| author_GND | (DE-588)1213405912 (DE-588)14280892X (DE-588)1213406560 |
| author_facet | Gohmert, Elizabeth Li, Quan 1966- Wise, Douglas |
| author_role | aut aut aut |
| author_sort | Gohmert, Elizabeth |
| author_variant | e g eg q l ql d w dw |
| building | Verbundindex |
| bvnumber | BV046994999 |
| callnumber-first | H - Social Science |
| callnumber-label | H61 |
| callnumber-raw | H61.3 |
| callnumber-search | H61.3 |
| callnumber-sort | H 261.3 |
| callnumber-subject | H - Social Science |
| classification_rvk | MR 2100 |
| ctrlnum | (OCoLC)1150758052 (DE-599)KXP1671340396 |
| dewey-full | 300.285/5133 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 300 - Social sciences |
| dewey-raw | 300.285/5133 |
| dewey-search | 300.285/5133 |
| dewey-sort | 3300.285 45133 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| discipline_str_mv | Soziologie |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02363nam a2200397 c 4500</leader><controlfield tag="001">BV046994999</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210208 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">201112s2021 xxu|||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781544379418</subfield><subfield code="c">paperback</subfield><subfield code="9">978-1-5443-7941-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1150758052</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1671340396</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-19</subfield><subfield code="a">DE-N2</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">H61.3</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">300.285/5133</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MR 2100</subfield><subfield code="0">(DE-625)123488:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gohmert, Elizabeth</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1213405912</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Easy R</subfield><subfield code="b">access, prepare, visualize, explore data, and write papers</subfield><subfield code="c">Elizabeth Gohmert, Quan Li and Douglas Wise</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne</subfield><subfield code="b">SAGE</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiii, 178 Seiten</subfield><subfield code="b">Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Literaturangaben</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second chapter shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website"--</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Social sciences / Research / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Social sciences / Statistical methods</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Quan</subfield><subfield code="d">1966-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)14280892X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wise, Douglas</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1213406560</subfield><subfield code="4">aut</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://www.gbv.de/dms/bowker/toc/9781544379418.pdf</subfield><subfield code="v">2020-10-18</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032402788</subfield></datafield></record></collection> |
| id | DE-604.BV046994999 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:54:30Z |
| indexdate | 2024-07-10T08:59:37Z |
| institution | BVB |
| isbn | 9781544379418 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032402788 |
| oclc_num | 1150758052 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM DE-N2 |
| owner_facet | DE-19 DE-BY-UBM DE-N2 |
| physical | xiii, 178 Seiten Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | SAGE |
| record_format | marc |
| spelling | Gohmert, Elizabeth Verfasser (DE-588)1213405912 aut Easy R access, prepare, visualize, explore data, and write papers Elizabeth Gohmert, Quan Li and Douglas Wise Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne SAGE [2021] xiii, 178 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturangaben "This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second chapter shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website"-- Social sciences / Research / Data processing Social sciences / Statistical methods R (Computer program language) Li, Quan 1966- Verfasser (DE-588)14280892X aut Wise, Douglas Verfasser (DE-588)1213406560 aut https://www.gbv.de/dms/bowker/toc/9781544379418.pdf 2020-10-18 Aggregator Inhaltsverzeichnis |
| spellingShingle | Gohmert, Elizabeth Li, Quan 1966- Wise, Douglas Easy R access, prepare, visualize, explore data, and write papers |
| title | Easy R access, prepare, visualize, explore data, and write papers |
| title_auth | Easy R access, prepare, visualize, explore data, and write papers |
| title_exact_search | Easy R access, prepare, visualize, explore data, and write papers |
| title_exact_search_txtP | Easy R access, prepare, visualize, explore data, and write papers |
| title_full | Easy R access, prepare, visualize, explore data, and write papers Elizabeth Gohmert, Quan Li and Douglas Wise |
| title_fullStr | Easy R access, prepare, visualize, explore data, and write papers Elizabeth Gohmert, Quan Li and Douglas Wise |
| title_full_unstemmed | Easy R access, prepare, visualize, explore data, and write papers Elizabeth Gohmert, Quan Li and Douglas Wise |
| title_short | Easy R |
| title_sort | easy r access prepare visualize explore data and write papers |
| title_sub | access, prepare, visualize, explore data, and write papers |
| url | https://www.gbv.de/dms/bowker/toc/9781544379418.pdf |
| work_keys_str_mv | AT gohmertelizabeth easyraccesspreparevisualizeexploredataandwritepapers AT liquan easyraccesspreparevisualizeexploredataandwritepapers AT wisedouglas easyraccesspreparevisualizeexploredataandwritepapers |