Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
TokyoR#93
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
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
大型犬好きによるPugの紹介
yamanoku
1
160
触りたくないデータに、どう触るか AI時代のRBACアクセスガバナンス
ivry_presentationmaterials
0
260
Rustuna: Rustによる高速なOptuna実装
pfn
PRO
0
190
How to Design Configuration for Rails Applications
willnet
1
770
QA4AI 2026-Oct 生成AI時代の品質保証
tokuty
1
860
DGX Spark でどこまでハッキングができるのか?
kash1064
3
1.3k
「事実」を「計測」して、「解釈」する 〜AWS Lambdaのメモリ最適解の見つけ方〜
maimyyym
0
170
UniFi(ユニファイ)AIカメラの現場活用
ludicmind
1
440
WasmをRustにする
sansantech
PRO
0
250
フロントエンドカンファレンス関西2026 - 速すぎるUIに、待ち時間を
teamlab
PRO
0
130
Metadata - Section 1: HTML Basics
mohab1
0
120
Tofu-Controller lightning talk @ Containerday 2026
gionn
0
100
Featured
See All Featured
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
630
Build your cross-platform service in a week with App Engine
jlugia
234
19k
30 Presentation Tips
portentint
PRO
1
430
YesSQL, Process and Tooling at Scale
rocio
174
15k
Reflections from 52 weeks, 52 projects
jeffersonlam
356
22k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
35
2.9k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
400
Building Flexible Design Systems
yeseniaperezcruz
330
41k
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
2
2.9k
Mind Mapping
helmedeiros
1
400
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
360
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: