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
前処理勉強会_発表資料_MITTI_20210724.pdf
Search
mitti1210
July 21, 2021
Science
1.4k
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
前処理勉強会_発表資料_MITTI_20210724.pdf
Rによるオープンデータ前処理勉強会(医療データ)の発表資料です。
勉強会はこちら
https://connpass.com/event/219249/
mitti1210
July 21, 2021
More Decks by mitti1210
See All by mitti1210
前処理R 第2回資料
mitti1210
0
430
Rによるオープンデータ 前処理勉強会(医療データ) _オープニング
mitti1210
3
2.1k
前処理をRでしたい! ~DPCデータに挑戦!~
mitti1210
2
250
Fukuoka.R #15 順序尺度の時系列変化を 折れ線グラフとヒートマップで 可視化してみた
mitti1210
1
13k
20190605_プログラム未経験者がMOOCでRを独学してみたら・・・
mitti1210
1
13k
Other Decks in Science
See All in Science
社内で活躍できるデータサイエンティストになるために
aikinohara
1
160
バランスって大事だね
akasan
1
140
Visual Linear Algebra - Lecture at Shosen Grande
hiranabe
0
460
AIPシンポジウム 2025年度 成果報告会 「因果推論チーム」
sshimizu2006
3
630
[TMLR 2026, Featured Certification] Double Bounded α-Divergence Optimization for Density Estimation
gkazunii
1
120
東北地方における過去20年間の降水量の変化
naokimuroki
1
490
生成AIと司法書士の未来.pdf
tagtag
PRO
0
170
CVPR2026_VGGTとその仲間たち
mickey_0226
0
1.1k
HOLO: Homography-Guided Pose Estimator Network for Fine-Grained Visual Localization on SD Maps
tomoaki0705
0
140
Toward Causal Scientific Discovery with AI
sshimizu2006
0
180
AI(人工知能)の過去・現在・未来 ~AIは人類を越えるのか~
tagtag
PRO
0
160
水耕栽培:古代の知恵から宇宙農業まで
grow_design_lab
0
220
Featured
See All Featured
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
1
400
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
250
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
2.1k
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.5k
A designer walks into a library…
pauljervisheath
211
25k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
3k
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
New Earth Scene 8
popppiees
3
2.5k
Large-scale JavaScript Application Architecture
addyosmani
515
110k
The Invisible Side of Design
smashingmag
301
52k
Speed Design
sergeychernyshev
33
2.1k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
Transcript
લॲཧΛRͰͬͯΈͨʂ DPCσʔλʹઓʂ 1 2021/07/24 MITTI
ϑΥϧμͷ४උ .*55*ͷൃදͰҎԼͷߏͰϑΥϧμΛ࡞͍ͬͯ·͢ 3ͰͰ͖·͕࣌ؒ͢ͷ߹্ল͘ͷͰࣄલʹ࡞͢ΔͱਐΊ͍͢Ͱ͢ 2 ϓϩδΣΫτ ϑΥϧμ JOQVU TVNNBSZ .%$@@ PVUQVU
JOQVU .%$@@
μϯϩʔυ 3 ͜ͷ4 ࢪઃ֓ཁද ʢ̔ʣ࣬ױผखज़ผूܭ MDC07 ˎ2016,20172ͭʹ͔Ε͍ͯΔ MDC07ɿܗ֎Պ
μϯϩʔυͱอଘϑΝΠϧ໊ ͜ͷϑΥϧμ໊ͱϑΝΠϧ໊ͰਐΊ·͢ 4 ϓϩδΣΫτ ϑΥϧμ JOQVU TVNNBSZ .%$@@ PVUQVU TVNNBSZ
.%$@@ ʢ̔ʣ࣬ױผखज़ผूܭ MDC07 ࢪઃ֓ཁද
ࣄલ४උ 5 #ࠓճtidyverseύοέʔδΛ͍·͢ɻ #Πϯετʔϧͨ͜͠ͱͳ͍ํઌʹΠϯετʔϧ install.packages(“tidyverse") #ͲͪΒͷൃදͰ͍·͢ #Πϯετʔϧͨ͠ύοέʔδͷݺͼग़͠ library(tidyverse) #ࠓճಛʹdplyr,tidyr,stringr,purrrΛ༻ library(readxl)
#excelͷಡΈࠐΈʹ༻
ୀӃױऀௐࠪ 6 https://www.mhlw.go.jp/stf/shingi2/0000196043_00003.html
ख࡞ۀͰͰ͖Δʁ 7 ෳྻ໊ ࡏӃ ͍Βͳ͍ ϋΠϑϯ ͍Βͳ͍ ͕มΘΔͱ ૿͑ͨΓݮͬͨΓ͢Δ ͕มΘΔͱ
පӃ໊͕มΘΔ͜ͱ͕͋Δ ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ ԣྻɺॎߦ ºؒ ʢ༌݂Ҏ֎ͷ࠶ܝʣ Λআ͍͕ͨ߹ܭ ͕มΘΔͱ ൪߸ҧ͏͜ͱ͕͋Δ ௨൪ʹલͷͷࠂࣔ൪߸
͜ΕͳΒੳʹ͔͚ͨΓάϥϑ͕࡞ΕΔ 8 ͰมΘΔ൪߸Λ ἧ͑ͨ ࢢொଜ໊͚ͨ ෳΛͭͳ͛ͨ ප໊ͰݕࡧͰ͖Δ ਓ͚ͩʹͨ͠
ࠓճͷલॲཧ ˔UJEZʢવσʔλʣʹ͢Δ ˔จࣈྻॲཧ ˔܁Γฦ͠ॲཧʹରԠ͢Δ ˔ؔͰ·ͱΊΔ 9
UJEZʢવσʔλʣͱʁ 8JLJQFEJB༷ΑΓ IUUQTKBXJLJQFEJBPSHXJLJ5JEZ@EBUB 10
σʔλͷܗɿUJEZS 11 ࡶવσʔλ %>% pivot_longer ( col = c("6࣌", "12࣌",
“18࣌”) , names_to = “࣌ࠁ” , values_to = “ఱؾ”)
UJEZʹ͢ΔͨΊͷઓ͍ 12 5JEZ /PU5JEZ
ࠓճͷલॲཧ ˔UJEZʢવσʔλʣʹ͢ΔɿUJEZS ˔จࣈྻॲཧɿTUSJOHS ˔܁Γฦ͠ॲཧʹରԠ͢ΔɿQVSSS ˔ؔͰ·ͱΊΔɿGVODUJPO ˔͚ͬͭ͘ΔɿKPJO 13
จࣈྻॲཧɿTUSJOHS 14 TUSJOHS දతͳؔ આ໌ ݕࡧ TUS@EFUFDU ͋Δจࣈྻؚ͕·Ε͍ͯͨΒ536& நग़ TUS@FYUSBDU
TUS@FYUSBDU@BMM TUS@TVC ͋ΔύλʔϯʹҰக͢ΔจࣈྻΛநग़ ࠷ॳʢ࠷ޙʣ˓จࣈΛநग़ ஔ͖͑ TUS@SFQMBDF TUS@SFQMBDF@BMM ύλʔϯʹϚονͨ͠ՕॴΛஔ Ճ TUS@D จࣈྻΛ͚ͬͭ͘Δ https://kazutan.github.io/kazutanR/stringr-intro.html ͕ৄ͍͠Ͱ͢ʂ
TUSJOHSͱਖ਼نදݱ 15 ྫʣ“MDC_02_8_07_2019.xlsx"ͱ͍͏ϑΝΠϧ໊͔Β৭ʑऔΓग़͍ͨ͠ str_extract(“จࣈྻ”, “݅” ) ݅ʹ৭ʑͳࢦఆ͕Ͱ͖Δ [ ] ͜ͷதʹ͋Δɾจࣈɾه߸
\\d \\D จࣈ . ͳΜͰO K * 0ճҎ্ͷ܁Γฦ͠ { } ׅހͷ͚ͩ܁Γฦ͠ ^ จࣈྻͷઌ಄ $ จࣈྻͷ࠷ޙ fi MFl.%$@@@@YMTY TUS@FYUSBDU fi MF z<aaE>\^z TUS@FYUSBDU fi MF z.%$ <aaE>\^z TUS@FYUSBDU fi MF l<>Y z 4ܻ MDCɹҙͷ܁Γฦ͠ɹ4ܻ .(ه߸ͷυοτ)ɹ xɹɹɹҙͷ܁Γฦ͠
˔UJEZʢવσʔλʣʹ͢Δ ˔จࣈྻॲཧ ˔܁Γฦ͠ॲཧʹରԠ͢Δ ˔ؔͰ·ͱΊΔ 16
17 ྫʣ&YDFMͷෳλϒΛҰؾʹಡΈࠐΉ ܁Γฦ͠QVSSS
͚ͬͭ͘ΔɿEQMZSKPJO 18 https://github.com/rstudio/cheatsheets/raw/master/data-transformation.pdf
˔UJEZʢવσʔλʣʹ͢Δ ˔܁Γฦ͠ॲཧʹରԠ͢Δ ˔จࣈྻॲཧ ˔ؔͰ·ͱΊΔ 19
ؔͰ·ͱΊΔϝϦοτͱϙΠϯτ ˔ෆཁͳม͕ݮΔ ˔ଞͷϑΝΠϧͰར༻Ͱ͖ΔɻNBQ͕͍͘͢ͳΔɻ 20 ؔͰΘΕΔม Βͳ͍ ϑΥϧμʹ͋ΔϑΝΠϧΛ ·ͱΊͯಡΈࠐΊΔ
ؔͰ·ͱΊΔϝϦοτͱϙΠϯτ ˔͋Δ্͕ख͍͔ͬͨ͘Βͱ͍ͬͯҧ͏Ͱ্ख͘ߦ͔֬͘ೝඞཁ ɹɾYMT͕YMTYʹมΘͬͯରԠͰ͖Δίʔυ ɹɾΤϥʔ͕ग़ͨΒͦͷؔ͠ʹܧ͍͗ͯ͘͠ 21
۩ମྫ 22
ࠂࣔ൪߸Λଗ͑ΔͨΊͷલॲཧ 23
σʔλΛ֬ೝ ɾཉ͍͠σʔλ͚ͩ͜͜ ɾ˞ͷϚʔΫ͍Βͳ͍ ɾͷྻΛ͍ͨ͠ ɾվߦ͍Βͳ͍ 24 ▶︎
͜Ε͚ͩͳΒίʔυ͔͚ͦ͏
Ͱྻ໊͕มΘ͍ͬͯͳ͍͔νΣοΫ 25 1ʙ3ྻͱ”ࢪઃ໊”ͷྻ͚ͩཉ͍͠ʂ select(1:3, “ࢪઃ໊”)
SFBE@FYDFMͰಡΈࠐΉ 26 read_excel ( path=ϑΝΠϧͷύε , sheet=γʔτͷ໊લ͔˓൪ͷγʔτ, #ࢦఆ͠ͳ͚Ε1ຕͷγʔτ skip=ઌ಄ʹ͍Βͳ͍ߦ͕͋Εࢦఆ ,
col_names=ྻ໊Λࢦఆ͍ͨ͠߹ʢFALSEʹ͢Δͱྻ໊ΛಡΈࠐ·ͳ͍ʣ , n_max=Կߦ·ͰಡΈࠐΉ͔ʁ ) ଓ͖σϞͰʂ
࡞ͬͨͷΛؔʹ͢Δ 27 ଓ͖σϞͰʂ
ࠂࣔ൪߸ͱ௨൪ͷؔ 28 ৽͍͠ͷ௨൪ͱݹ͍ͷࠂࣔ൪߸ͷࣈ͕߹͏Α͏ʹjoin͢Δ ৽͍͠ %>% left_join(ݹ͍, by = c(“௨൪” =
“ࠂࣔ൪߸”)
ʂ 29 ଓ͖σϞͰʂ
ࢢொଜ൪߸ ૯লͷσʔλ͔ΒࢢொଜίʔυͷϑΝΠϧ͕μϯϩʔυͰ͖Δ 30 https://www.soumu.go.jp/denshijiti/code.html
ୀӃױऀௐࠪ 31 https://www.mhlw.go.jp/stf/shingi2/0000196043_00003.html
·ͣྻ໊͔Β 32 ෳྻ໊ ࡏӃ ͍Βͳ͍ ϋΠϑϯ ͍Βͳ͍ ͕มΘΔͱ ૿͑ͨΓݮͬͨΓ͢Δ ͕มΘΔͱ
පӃ໊͕มΘΔ͜ͱ͕͋Δ ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ ԣྻɺॎߦ ºؒ ʢ༌݂Ҏ֎ͷ࠶ܝʣ Λআ͍͕ͨ߹ܭ ͕มΘΔͱ ൪߸ҧ͏͜ͱ͕͋Δ ௨൪ʹલͷͷࠂࣔ൪߸
࡞ઓ ˔ྻ໊ͷΈΛಡΈࠐΈॎʹ͢Δ 33
࡞ઓ ˔UJEZS fi MM Ͱ/"Λ্ͷͰຒΊΔ 34
࡞ઓ ˔UJEZSVOJUF ͰෳྻΛͭʹ߹ମͤ͞Δ 35 ৽͍͠ྻ໊ ܨ͍͛ͨྻ ϕΫτϧʹม QVMM Ͱ0, ͜͜Ͱશ෦
࡞ઓ ˔TUS@SFQMBSF@BMMͰ/"ه߸Λফ͢ 36 ΈͰ͜ΕΒͷه߸εϖʔεΛফ͢͜ͱՄೳ ࠓճɻͱεϖʔεΛফͨ͠
ؔʹ͢Δ 37 ଓ͖σϞͰʂ
දه༳Εͷ֬ೝ 38 ࡏӃ ͍Βͳ͍ ϋΠϑϯ ͍Βͳ͍ ͕มΘΔͱ ૿͑ͨΓݮͬͨΓ͢Δ ͕มΘΔͱ පӃ໊͕มΘΔ͜ͱ͕͋Δ
͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ ԣྻɺॎߦ ºؒ ʢ༌݂Ҏ֎ͷ࠶ܝʣ Λআ͍͕ͨ߹ܭ ͕มΘΔͱ ൪߸ҧ͏͜ͱ͕͋Δ ௨൪ʹલͷͷࠂࣔ൪߸
දه༳ΕΛ୳͢ ˔֤ͷྻ໊Λऔಘ ˔TFUEJ ff Ͱยํʹ͔͠ͳ͍ͷΛ୳͢ TFUEJ ff " #
▶︎ "ʹ͔͠ແ͍ͷΛநग़ TFUEJ ff # " ▶︎ #ʹ͔͠ແ͍ͷΛநग़ 39
40 ͱɺͱಉ͡ ͱʹҧ͍͕͋Εදه༳ΕͷՄೳੑ දه༳ΕͰͳ͘ ͦͦͦͷʹ͔͠ͳ͔ͬͨՄೳੑ
͜ΕͰσʔλ͕ಡΈࠐΊΔʢޙͰ͢ʣ 41 ଓ͖σϞͰʂ
͍Βͳ͍ྻ 42 ࡏӃ ͍Βͳ͍ ϋΠϑϯ ͍Βͳ͍ ͕มΘΔͱ පӃ໊͕มΘΔ͜ͱ͕͋Δ ԣྻɺॎߦ ºؒ
ʢ༌݂Ҏ֎ͷ࠶ܝʣ Λআ͍͕ͨ߹ܭ ͕มΘΔͱ ൪߸ҧ͏͜ͱ͕͋Δ ௨൪ʹલͷͷࠂࣔ൪߸ ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ ͕มΘΔͱ ૿͑ͨΓݮͬͨΓ͢Δ
ࡏӃͱʢ࠶ܝʣͷྻ͍Βͳ͍ ˔TFMFDU ͱDPOUBJOT ͰߜΓࠐΊΔ 43
ϋΠϑϯΛফ͢ ▶︎ σʔλʹม 44 ϋΠϑϯ ͍Βͳ͍ ͕มΘΔͱ පӃ໊͕มΘΔ͜ͱ͕͋Δ ԣྻɺॎߦ ºؒ
͕มΘΔͱ ൪߸ҧ͏͜ͱ͕͋Δ ௨൪ʹલͷͷࠂࣔ൪߸ ͕มΘΔͱ ૿͑ͨΓݮͬͨΓ͢Δ ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ
SFBESQBSTF@OVNCFS ˔SFBESQBSTF@OVNCFS ࢦఆͨ͠ྻΛσʔλʹ͢Δ ˔NVUBUF BDSPTT બͼ͍ͨྻ ؔ Ͱෳྻಉ࣌ʹॲཧ͢Δ 45
/"Λʹม͢Δ ˔SFQMBDF@OB ࢦఆͨ͠ྻ ม͍ͨ͠ ˔ؔʹҾ͕͋Δ߹ෳͷؔΛඞཁͱ͢Δ߹ ɹNVUBUF BDSPTT બͼ͍ͨྻ
dؔ Λ͏ 46
͜͜·ͰΛؔʹ͢Δ 47 ଓ͖σϞͰʂ
ࠂࣔ൪߸͕Ͱҧ͏ 48 ͕มΘΔͱ පӃ໊͕มΘΔ͜ͱ͕͋Δ ԣྻɺॎߦ ºؒ ͕มΘΔͱ ൪߸ҧ͏͜ͱ͕͋Δ ௨൪ʹલͷͷࠂࣔ൪߸ ͕มΘΔͱ
૿͑ͨΓݮͬͨΓ͢Δ ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ
ࢪઃ֓ཁදͱKPJO͢ΔʂDTWϑΝΠϧʹ͢Δ 49 ଓ͖σϞͰʂ
͜͜·ͰͰ͖Δͱ܁Γฦ͢͜ͱ͕Ͱ͖Δ 50 ԣྻɺॎߦ ºؒ ͕มΘΔͱ ૿͑ͨΓݮͬͨΓ͢Δ ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ
51 ྫʣ&YDFMͷෳλϒΛҰؾʹಡΈࠐΉ ܁Γฦ͠QVSSS
˔ϑΥϧμʹ͋ΔΤΫηϧϑΝΠϧΛ·ͱΊͯಡΈࠐΉ -JTU fi MFT ϑΥϧμ໊ NBQؔΛͬͯ܁Γฦ͢ 52 pattern=Ͱ݅ΛߜΔ ଓ͖σϞͰʂ
ྻҧ͏ 53 ͕มΘΔͱ ૿͑ͨΓݮͬͨΓ͢Δ ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ
XJEFσʔλ 54 σʔλ͕ԣʹฒΜͰ͍Δ
MPOHσʔλͳΒؔͳ͍ʂ ˔UJEZͳΒྻ͕૿͑Δ͚ͩ 55
UJEZSQJWPU@MPOHFSͰॎ࣋ͪσʔλʹม QJWPU@MPOHFS ɹDPMT·ͱΊ͍ͨྻ ɹOBNFT@UP·ͱ·ͬͨޙʢྻ໊ʣͷྻ໊ ɹWBMVFT@UP·ͱ·ͬͨޙʢʣͷྻ໊ 56
QJWPU@MPOHFSͷOBNFT@TFQ OBNFT@TFQͰྻΛׂ͢Δ͜ͱ͕Ͱ͖Δ 57
5JEZ 58 ଓ͖σϞͰʂ
දه༳ΕΛ͢ 59 ͕มΘΔͱ ප໊มΘΔ͜ͱ͕͋Δ
දه༳ΕΛ͢ ˔UJEZʹͳ͔ͬͨΒNVUBUFͱJGFMTFͰ͙͢ʹͤΔ 60
61 ྫʣ&YDFMͷෳλϒΛҰؾʹಡΈࠐΉ ܁Γฦ͠QVSSS
࠷ޙʹશ෦ͷϑΝΠϧΛಡΈࠐΉ 62 ଓ͖σϞͰʂ
͓ർΕ༷Ͱͨ͠ʂʂʂ ྻߦͷσʔλʂʂ 63
՝ ࠓճ࠷৽ͷͷපӃͷ໊લʹ߹Θ͍ͤͯΔ ɹɾ࠷৽ͷʹͳ͍පӃল͔Ε͍ͯΔ ɹɾ߹ซͨ͠පӃରԠ͍ͯ͠ͳ͍ ▶︎ ʢࣗͷࣄͷൣғͩͱࠔΒͳ͍͕ʣ ɹɹݚڀͰ͏ͳΒͬͱݫີʹ͢Δඞཁ͕͋Δ͔͠Εͳ͍
▶︎ ɹ%1$Λѻ͏ํͷҙݟΛͬͯΈ͍ͨͰ͢ɻ 64
લॲཧ͕Ͱ͖Ε࣍ʹਐΊΔ ूܭɹɹɹɹɹɹɹɹɹɹɹɹɹɹ8&#ΞϓϦʢTIJOZʣ 65
TIJOZͳΒʂʂʂ 66
ऴΘΓʹ ˔&YDFMͷख࡞ۀͰͰ͖ͳ͍͜ͱ͕3QZUIPOͳΒͰ͖ͯ͠·͍·͢ ˔ҩྍ౷ܭ&YDFMͷ࡞Γํ͕ྑ͚Εલॲཧ΄΅ඞཁ͋Γ·ͤΜ ˔ͨͩ৭ʑͳσʔλΛੳͨ͘͠ͳΔͱલॲཧඞཁʹͳΓ·͢ ɹʢ༧ࢉͷׂҎ্લॲཧʹ͍ͬͯΔͱ͍͏ӟʜʣ ˔·ͩ·ͩஓͳίʔυଟ͍Ͱ͢ɻ ɹͲͷఔͷ࣮ྗ͔ʢશવμϝ ࠷ݶΫϦΞ
ଈઓྗʹͳΔPSOPUʣ ɹΞυόΠεɾϑΟʔυόοΫ͍͚ͨͩΔͱ͍Ͱ͢ʂ 67