$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
R&RStudio入門
Search
hujuu
November 19, 2016
Education
0
720
R&RStudio入門
<Rのインストールから簡単な操作を実践>
~ Rの概要と使い方を学びます ~
・RとR studioの紹介と使い方
・ベーシックなスクリプトを書いてみる
・CSVを読み込んで分析の準備をしよう
hujuu
November 19, 2016
Tweet
Share
More Decks by hujuu
See All by hujuu
ggplot2の導入とヒストグラム作成
hujuu
0
530
R & R Studio
hujuu
4
620
Other Decks in Education
See All in Education
GOVERNOR ADDRESS:2025年9月29日合同公式訪問例会:2720 Japan O.K. ロータリーEクラブ、2025年10月6日卓話:藤田 千克由 氏(国際ロータリー第2720地区 2025-2026年度 ガバナー・大分中央ロータリークラブ・大分トキハタクシー(株)顧問)
2720japanoke
0
730
相互コミュニケーションの難しさ
masakiokuda
0
320
とある長岡高専卒のおっさんがIT企業のマネージャーになるまで / journey-from-nagaoka-kosen-grad-to-it-manager
masaru_b_cl
0
180
今の私を形作る4つの要素と偶然の出会い(セレンディピティ)
mamohacy
2
130
Презентация "Знаю Россию"
spilsart
0
380
1008
cbtlibrary
0
120
1111
cbtlibrary
0
240
子どもが自立した学習者となるデジタルの活用について
naokikato
PRO
0
160
QR-koodit opetuksessa
matleenalaakso
0
1.7k
【ZEPメタバース校舎操作ガイド】
ainischool
0
690
IKIGAI World Fes:program
tsutsumi
1
2.6k
ROSConJP 2025 発表スライド
f0reacharr
0
270
Featured
See All Featured
Agile that works and the tools we love
rasmusluckow
331
21k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
1.8k
What the history of the web can teach us about the future of AI
inesmontani
PRO
0
370
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1k
The Curse of the Amulet
leimatthew05
0
4.6k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
It's Worth the Effort
3n
187
29k
The Cult of Friendly URLs
andyhume
79
6.7k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.6k
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
850
The #1 spot is gone: here's how to win anyway
tamaranovitovic
1
860
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
0
390
Transcript
R & R STUDIO TUTORIAL R BUSINESS ANALYSIS Wi-Fi SSID:
Pass:
R Business Analysis ͻͱ·ͣࣗݾհ • ήʔϜ։ൃͯ͠·͢ • ࠷ۙओʹQA • R
ྺ • 1 • ౘ • ͋Θͤͯɺߚ • స৬૬ஊडத!! @hujuu
R Business Analysis ࣮ʹ׆͖ΔܗͰRΛֶͿ • ৗۀͰσʔλੳΛ͍ͯ͠Δ͕ɺֶͼ͋͏ڥ ͕ͳ͘ࠔ͍ͬͯΔ • σʔλੳπʔϧͱͯ͠,ʮ R
ʯΛݕ౼͍ͯ͠Δ • ઐੑϓϩάϥϛϯάεΩϧʹدͬͨษڧձͰ ͳ࣮͘ʹ݁͢ΔσʔλੳྗΛߴΊ͍ͨ
R Business Analysis RͲΜͳݴޠʁ ౷ܭղੳ͚ͷϓϩάϥϛϯάݴޠ ୭Ͱ͑Δʂ ແྉͰ Windows ʹ Mac
ʹରԠ ͍ͭͰ͑Δ গͳ͍ίʔυͰੳ݁ՌάϥϑΛૉૣ͘ग़ྗ 4
R Business Analysis • ॲཧ͕༏Ε͓ͯΓɺϏοάσʔλΛੳ͢Δࡍʹޮత • ExcelͰΉ͔͍ͣ͠౷ܭੳ͕ग़དྷΔ • ྫ :
Ϋϥελʔੳ, όεέοτੳ(ΞιγΤʔγϣϯੳ) • ༷ʑͳύοέʔδΛ׆༻͢Δ͜ͱͰੳͷ෯͕͛ΒΕΔ • άϥϑͷඳըʹڧ͍ • ggplot2ͰͷάϥϑԽࣗ༝͕ߴ͘ɺࢹೝੑ͕ߴ͍ ɹɹɹͷओͳϝϦοτ
R Business Analysis ൺֱ༰ OS Mac,Windows,Linux WindowsϝΠϯ Macͩͱੳػೳ͕ෆࣗ༝ ॲཧ ˚
X ѻ͑Δσʔλྔ ʓ (150ສߦͷಡΈࠐΈՄೳ) X (1,048,576 ߦɺ16,384 ྻ) ֦ுੑ ʓ ˚ GUI ˚ ʓ Ձ֨ ແྉ ༗ྉʢ݄ઍԁʙʣ ར༻༻్ ౷ܭղੳ දܭࢉࢿྉ࡞ͳͲଟ༷
R Business Analysis ɹɹɹͷΠϯετʔϧ 1. CRANʢThe Comprehensive R Archive NetworkʣʹΞ
Ϋηε https://cran.r-project.org/ 2. ༻͍ͯ͠ΔOSʹ͋ΘͤͯRͷΠϯετʔϥʔΛμϯ ϩʔυ ύοέʔδ͕ಈ͔ͳ͍͜ͱ͕ແ͍Α͏ʹ࠷৽൛Λ 3. μϯϩʔυͨ͠ϑΝΠϧΛ։͍ͯΠϯετʔϧ
R Business Analysis
R Business Analysis αϯϓϧίʔυ 2 ^ 5 a <- 100
b <- 2 a * b list <- c(2,4,6,8,10) list
R Business Analysis ͷΠϯετʔϧ 1. ͍ΘΏΔ RͷIDE (౷߹։ൃڥ)Ͱ͢ɻ εΫϦϓτϑΝΠϧɺ࣮ߦconsoleɺάϥϑεϖʔεɺ ಡΈࠐΜͩσʔλͷҰཡͳͲ͕ݟ͘͢ஔ͞Ε·͢
2. R studioͷΠϯετʔϥΛμϯϩʔυ https://www.rstudio.com/products/rstudio/download/ 3. μϯϩʔυͨ͠ΠϯετʔϥΛ։͍ͯΠϯετʔϧ
R Business Analysis
R Business Analysis • ೖྗิॿ͕ڧ͍ • άϥϑͷΞτϓοτ͕͍͢͠ • ΤσΟλͷจࣈ৭ͱഎܠΛฤू͠ ͯɺݟ͍͢ઃఆʹͰ͖Δ
• ෳͷεΫϦϓτϑΝΠϧΛλϒͰ ։͍͓͚ͯΔ • ύοέʔδϦετͷӾཡσΟϨΫ τϦϑΝΠϧͷ֬ೝͳͲ͕Ͱ͖Δ ͷϝϦοτ
R Business Analysis άϥϑΛॻ͍ͯΈΑ͏ʂ x <- 1:10 y <- 1:10
plot(x, y) # x࣠Λ10͔Β1ͷฒͼํʹ͢Δ plot(x, y, xlim=c(10,1))
R Business Analysis ࡞ۀσΟϨΫτʹ͍ͭͯ • σʔλϓϩάϥϜͷ ಡΈࠐΈ,σʔλͷॻ͖ ग़͠Λ͢Δॴ͕࡞ۀ σΟϨΫτϦ •
ϑΝΠϧࢦఆ͕͍͢͠ Α͏ʹมߋ͓ͯ͘͠
R Business Analysis CSVσʔλΛಡΈࠐΜͰΈΑ͏ʂ # ࡞ۀσΟϨΫτϦʹ͋ΔCSVΛಡΈऔΔ read.csv("kakei_201609.csv") # ࡞ۀσΟϨΫτϦʹ͋ΔCSVΛಡΈࠐΉ data
<- read.csv("kakei_201609.csv") # ಡΈࠐΜͩσʔλςʔϒϧͷ಄Λදࣔ head(data)
R Business Analysis جຊతͳؔΛͬͯΈΑ͏ʂ # σʔλϑϨʔϜͷฏۉɺதԝͳͲΛ·ͱΊͯग़͢ summary(data) # ྻΛࢦఆͯ͠ɺαϚϦʔΛදࣔ͢Δ summary(data$ফඅࢧग़)
# ಡΈࠐΜͩσʔλςʔϒϧͷྻ໊Λදࣔ names(data)
R Business Analysis ͞Βʹ…Α͘͏ศརͳؔҰཡ ؔ max(x) min(x) mean(x) median(x) sum(x)
ҙຯ ࠷େ ࠷খ ฏۉ தԝ ૯
R Business Analysis άϥϑΛॻ͍ͯΈΑ͏ʂ # άϥϑͰຊޠΛදࣔ͢Δઃఆ par(family = "HiraKakuProN-W3") #
ฏۉάϥϑΛඳը͢Δ barplot(data$ڭཆޘָ, names.arg = data$༻్ྨ, las = 3)
R Business Analysis E N D