Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
TokyoR#93
Search
soriente
July 03, 2021
Technology
0
260
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
Tweet
Share
Other Decks in Technology
See All in Technology
Overture Maps Foundationの3年を振り返る
moritoru
0
170
re:Invent2025 コンテナ系アップデート振り返り(+CloudWatchログのアップデート紹介)
masukawa
0
350
形式手法特論:CEGAR を用いたモデル検査の状態空間削減 #kernelvm / Kernel VM Study Hokuriku Part 8
ytaka23
2
460
eBPFとwaruiBPF
sat
PRO
4
2.6k
文字列の並び順 / Unicode Collation
tmtms
3
550
生成AI活用の型ハンズオン〜顧客課題起点で設計する7つのステップ
yushin_n
0
130
Playwrightのソースコードに見る、自動テストを自動で書く技術
yusukeiwaki
13
5.3k
Karate+Database RiderによるAPI自動テスト導入工数をCline+GitLab MCPを使って2割削減を目指す! / 20251206 Kazuki Takahashi
shift_evolve
PRO
1
700
生成AIでテスト設計はどこまでできる? 「テスト粒度」を操るテーラリング術
shota_kusaba
0
690
Sansanが実践する Platform EngineeringとSREの協創
sansantech
PRO
2
800
AI駆動開発における設計思想 認知負荷を下げるフロントエンドアーキテクチャ/ 20251211 Teppei Hanai
shift_evolve
PRO
2
350
生成AI時代におけるグローバル戦略思考
taka_aki
0
120
Featured
See All Featured
How to train your dragon (web standard)
notwaldorf
97
6.4k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
132
19k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
10
720
Build The Right Thing And Hit Your Dates
maggiecrowley
38
3k
Being A Developer After 40
akosma
91
590k
Done Done
chrislema
186
16k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.8k
The Pragmatic Product Professional
lauravandoore
37
7.1k
Bootstrapping a Software Product
garrettdimon
PRO
307
120k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.1k
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: