Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
TokyoR#93
Search
soriente
July 03, 2021
Technology
270
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
TokyoR#93
TokyoR#93の初心者セッション可視化パートです。
soriente
July 03, 2021
Other Decks in Technology
See All in Technology
[MIRU26] Open-Vocabulary Intention-Guided Object Detection in Diverse Scenes
keio_smilab
PRO
0
130
【CEDEC2026】コードレビュー支援ツール開発から学ぶ:LLMを用いた業務システムの実践的な運用設計と誤出力対策
cygames
PRO
0
450
LangfuseによるLLMOps基盤の構築と活用事例
zozotech
PRO
1
260
20260722_品質と開発生産性の相互作用
magicpod
0
110
検索技術知識0のエンジニアが広告検索システムを内製化して運用するまで
lycorptech_jp
PRO
0
210
もう一度考える SRE チームの作り方・育て方 / Rethinking SRE #1: Building and Growing SRE Teams
rrreeeyyy
5
920
データエンジニアこそ組織のオントロジーに向き合うべき — 問いに答えるAIから、事業を動かすAIへ
gappy50
7
3.2k
第3回しろおびセキュリティスポンサーセッション
log0417
0
120
AIQAのナレッジ構築について
qatonchan
1
150
AWS ネットワーク構築でハマった(ハマりかけた) 5選とそこから得た教訓
nagisa53
4
170
reFACToring
moznion
1
1.1k
PLaMo 3.0 Primeの事後学習
pfn
PRO
0
260
Featured
See All Featured
How to Talk to Developers About Accessibility
jct
2
470
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
280
Game over? The fight for quality and originality in the time of robots
wayneb77
1
230
[RailsConf 2023] Rails as a piece of cake
palkan
59
6.8k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
390
So, you think you're a good person
axbom
PRO
2
2.1k
How GitHub (no longer) Works
holman
316
150k
エンジニアに許された特別な時間の終わり
watany
108
250k
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
1
360
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.5k
DevOps and Value Stream Thinking: Enabling flow, efficiency and business value
helenjbeal
1
280
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
450
Transcript
5PLZP3σʔλՄࢹԽ ॳ৺ऀηογϣϯ
ࣗݾհ w TPSJFOUF w *5اۀۈ w 3ྺ ࡉͬͯ͘͘·͢ɻ w
ͱ͍ͬͯ࠷ۙ1ZUIPO͕ϝΠϯ w 1)1ॻ͍ͯͨ࣌ظ͋Γ·ͨ͠ɻ
ՄࢹԽͱ w จࣈͷ௨Γɺݟ͑ΔԽ͢Δɻ σʔλੳͷจ຺ͰɺσʔλͷؔੑΛݟ͑ ΔԽ͢Δɻ w ՄࢹԽΛ͚ͨͩ͠ͰΘ͔Δ͜ͱଟ͍ɻ w ՄࢹԽΛ͢ΔͱɺΘ͔Γ͍͢ɻ
w ՄࢹԽΛͨ͋͠ͱʹԿΒ͔ͷҙࢥܾఆΛߦ͏͜ͱ͕ଟ͍ɻ ੳऀ͕ࣗҙࢥ ܾఆ͢Δ͜ͱɺ୭͔ʹҙࢥܾఆͯ͠Β͏͜ͱ͋Δɻ
None
HHQMPUͷجຊ
HHQMPUͱ w ՄࢹԽͷͨΊͷϥΠϒϥϦ w UJEZWFSTFͷϥΠϒϥϦ܈ͷҰͭ w ʰ5IF(SBNNBSPG(SBQIJDTʱΛϕʔεʹ࡞ΒΕ͍ͯΔ ˠҰ؏ੑͷ͋Δจ๏Ͱ߹ཧతʹॻ͚Δʂ
ࠓճ͏σʔλQFOHVJOT JOTUBMMQBDLBHFT QBMNFSQFOHVJOT MJCSBSZ QBMNFSQFOHVJOT IFBE QFOHVJOT
TQFDJFT JTMBOE CJMM@MFOHUI@NN CJMM@EFQUI@NN fl JQQFS@MFOHUI@NN CPEZ@NBTT@H TFY ZFBS "EFMJF 5PSHFSTFO NBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO /" /" /" /" /" "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO NBMF
QFOHVJOT
HHQMPUΠϯετʔϧಡΈࠐΈ JOTUBMMQBDLBHFT HHQMPU JOTUBMMQBDLBHFT UJEZWFSTF ͰՄ MJCSBSZ HHQMPU MJCSBSZ UJEZWFSTF
ͰՄ
ࠓճॻ͘άϥϑͷछྨ w ࢄਤ w άϥϑ w ંΕઢάϥϑ
ࠓճ͏σʔλQFOHVJOT JOTUBMMQBDLBHFT QBMNFSQFOHVJOT MJCSBSZ QBMNFSQFOHVJOT IFBE QFOHVJOT
TQFDJFT JTMBOE CJMM@MFOHUI@NN CJMM@EFQUI@NN fl JQQFS@MFOHUI@NN CPEZ@NBTT@H TFY ZFBS "EFMJF 5PSHFSTFO NBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO /" /" /" /" /" "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO NBMF
ࠓճ͏σʔλQFOHVJOT JOTUBMMQBDLBHFT QBMNFSQFOHVJOT MJCSBSZ QBMNFSQFOHVJOT IFBE QFOHVJOT
TQFDJFT JTMBOE CJMM@MFOHUI@NN CJMM@EFQUI@NN fl JQQFS@MFOHUI@NN CPEZ@NBTT@H TFY ZFBS "EFMJF 5PSHFSTFO NBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO /" /" /" /" /" "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO NBMF
ࢄਤ ॻ͖ํओʹ3ύλʔϯ > ggplot(penguins, aes(x = bill_length_mm, y = bill_depth_mm))
+ geom_point() > ggplot(penguins) + geom_point(aes(x = bill_length_mm, y = bill_depth_mm)) > ggplot() + geom_point( data = penguins, aes(x = bill_length_mm, y = bill_depth_mm) )
ࠓճॻ͘άϥϑͷछྨ w ࢄਤ w ંΕઢάϥϑ w άϥϑ
ࠓճ͏σʔλQFOHVJOT JOTUBMMQBDLBHFT QBMNFSQFOHVJOT MJCSBSZ QBMNFSQFOHVJOT IFBE QFOHVJOT
TQFDJFT JTMBOE CJMM@MFOHUI@NN CJMM@EFQUI@NN fl JQQFS@MFOHUI@NN CPEZ@NBTT@H TFY ZFBS "EFMJF 5PSHFSTFO NBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO /" /" /" /" /" "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO NBMF
ࠓճ͏σʔλQFOHVJOT JOTUBMMQBDLBHFT QBMNFSQFOHVJOT MJCSBSZ QBMNFSQFOHVJOT IFBE QFOHVJOT
TQFDJFT JTMBOE CJMM@MFOHUI@NN CJMM@EFQUI@NN fl JQQFS@MFOHUI@NN CPEZ@NBTT@H TFY ZFBS "EFMJF 5PSHFSTFO NBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO /" /" /" /" /" "EFMJF 5PSHFSTFO GFNBMF "EFMJF 5PSHFSTFO NBMF
σʔλूܭ MJCBSBSZ EQMZS QFOHVJOT@GPS@MJOFQFOHVJOT HSPVQ@CZ ZFBS TVNNBSJTF NFBO@NBTTNFBO
CPEZ@NBTT@H OBSN536& QFOHVJOT@GPS@MJOF ZFBS NFBO@NBTT
ંΕઢάϥϑ ॻ͖ํओʹ3ύλʔϯ > ggplot(penguins_for_line, aes(x = year, y = mean_mass))
+ geom_line() > penguins_for_line %>% ggplot() + geom_line(aes(x = year, y = mean_mass)) > ggplot(penguins_for_line) + geom_line(aes(x = year, y = mean_mass)) > ggplot() + geom_line( data = penguins_for_line, aes(x = year, y = mean_mass) )
άϥϑ ॻ͖ํ3ύλʔϯ > ggplot(penguins_for_line, aes(x = year, y = mean_mass))
+ geom_bar(stat = "identity") > ggplot(penguins_for_line) + geom_bar(aes(x = year, y = mean_mass), stat = "identity") > ggplot() + geom_bar( data = penguins_for_line, aes(x = year, y = mean_mass), stat = "identity") ҎԼͰՄ > ggplot() + geom_bar( data = penguins, aes(x = year, y = body_mass_g), stat = "summary", fun = "mean" )
ͦͷଞͷάϥϑɻɻɻ w άάΔ w ެࣜνʔτγʔτ IUUQTHJUIVCDPNSTUVEJPDIFBUTIFFUTCMPCNBTUFSEBUB WJTVBMJ[BUJPOQEG w 4MBDLͷSXBLBMBOH࣭
͍͔ͭ͘άϥϑॻ͍ͯΈͯ w λΠτϧ͚͍ͭͨɻ w ͕࣠ؾʹͳΔɻ
> ggplot() + geom_line( data = penguins_for_line, aes(x = year,
y = mean_mass) ) + ggtitle("ંΕઢάϥϑ") + theme_gray(base_family = "HiraKakuPro-W3") λΠτϧઃఆ
λΠτϧઃఆ > ggplot() + geom_line( data = penguins_for_line, aes(x =
year, y = mean_mass) ) + ggtitle("ંΕઢάϥϑ") + theme_gray(base_family = "HiraKakuPro-W3")
Y࣠ > ggplot() + geom_line( data = penguins_for_line, aes(x =
year, y = mean_mass)) + ggtitle("ંΕઢάϥϑ") + theme_gray(base_family = "HiraKakuPro-W3") + scale_x_continuous(breaks=seq(2007,2009,1))
Z࣠ > ggplot() + geom_line( data = penguins_for_line, aes(x =
year, y = mean_mass) ) + ggtitle("ࢄਤ") + theme_gray(base_family = "HiraKakuPro-W3") + scale_x_continuous( breaks = seq( min(penguins_for_line$year), max(penguins_for_line$year), 1 ) ) + ylim(0, 4300)
ࢄਤ छྨʹΑͬͯ৭͚͍ͨ > ggplot() + geom_point( data = penguins, aes(x
= bill_length_mm, y = bill_depth_mm, color = species) )
·ͱΊ w ՄࢹԽ͔ͳΓधཁͳύʔτ͕ͩɺ͍͠ɻ w άϥϑHHQMPU ͱHFPN@YYY Λ͏ͱॻ͘͜ͱ͕Ͱ͖Δɻ w ؔϓϥεͰͭͳ͙ɻ w
Γ͍ͨ͜ͱΛάάͬͯΈͯɺࢼͯ͠ΈͯɺΘ͔Βͳ͚Εɺ4MBDLͷSXBLBMBOHʹ࣭ͯͯ͠ Έ·͠ΐ͏ʂ
&/+0: