Slide 1

Slide 1 text

σʔλղੳͱલॲཧ .ࠇ໦༟ୋ !FEUVTBDKQ

Slide 2

Slide 2 text

໨࣍  σʔλղੳͱ͸  3ͱ34UVEJP  3ͷجຊ  ϞμϯͳσʔλϑϨʔϜૢ࡞ !2

Slide 3

Slide 3 text

ຊ೔࢖༻͢Δσʔλ TUBSXBST w ελʔ΢Υʔζͷొ৔ਓ෺ʹؔ͢Δσʔλ IUUQTXBQJDP  qJHIUT w ೥ʹ-(" +', &83Λग़ൃͨ͢͠΂ͯͷϑϥΠτͷఆࠁσʔλ XFBUIFS w -(" +', &83ͷఱީ΍෩ͷ৘ใ ࣌ؒ͝ͱ  BJSMJOFT w ߤۭձࣾͷςʔϒϧ !3

Slide 4

Slide 4 text

σʔλղੳͱ͸

Slide 5

Slide 5 text

σʔλղੳͱ͸ !5 6OEFSTUBOE *NQPSU 0VUQVU4IBSF

Slide 6

Slide 6 text

σʔλղੳͱ͸ !6 *NQPSU 0VUQVU4IBSF 7JTVBMJ[F .PEFMMJOH *OUFSQSFU 5SBOTGPSN

Slide 7

Slide 7 text

5PPMT ͨ͘͞Μ͋Δ w ి୎ w .JDSPTPGU&YDFM w *#.4144 w 4"4 w 1ZUIPO w 3 !7

Slide 8

Slide 8 text

5PPMT ޷͖ʹબ΂͹ྑ͍ w ޷Έ ྲྀߦΓ څྉ ਎ۙʹಘҙͳਓ͕͍Δ FUD !8 #JH%BUB ػցֶश ౷ܭղੳ ϋϯυϦϯά 42- ˕ ✕ ✕ ˓ 3 ˚ ˓ ˕ ˕ 1ZUIPO ˚ ˕ ˓ ˓ &YDFM ✕ ✕ ✕ ✕ ి୎ ✕ ✕ ✕ ✕

Slide 9

Slide 9 text

3ͱ34UVEJP

Slide 10

Slide 10 text

3 ಘҙͳͷͰ3Λ঺հ͠·͢ w ΠϯλϓϦλݴޠ 㲗ίϯύΠϥݴޠ  ௕ॴ w 044 w ༷ʑͳ౷ܭղੳɾػցֶशϥΠϒϥϦ w 34UVEJPࣾͷଘࡏ ୹ॴ w ஗͍ ಺෦͕$ ͳͲͰॻ͔Ε͍ͯΔͱ଎͍ !10

Slide 11

Slide 11 text

34UVEJPΛ࢖͓͏ w 3ʹಛԽͨ͠౷߹։ൃ؀ڥ *%&  w ΤσΟλͱͯ͠༏लͳ͚ͩͰͳ͘ ༷ʑͳ֦ுػೳ w ๛෋ͳγϣʔτΧοτ w (JUͱͷ࿈ܞ w ແྉ !11

Slide 12

Slide 12 text

34UVEJPͷը໘  ΤσΟλ  ίϯιʔϧ  ΦϒδΣΫτ ཤྺͳͲ  ϓϩοτ ϔϧϓͳͲ !12 ᶃ ᶄ ᶅ ᶆ

Slide 13

Slide 13 text

ىಈ͠Α͏ w ىಈ w ഑෍ͨ͠&YFSDJTF31SPKΛ্ཱͪ͛Δ w 3Λಈ͔ͯ͠ΈΑ͏ w ίϯιʔϧͰplot(iris) w ύοέʔδΛΠϯετʔϧͯ͠ΈΑ͏ ͕͔͔࣌ؒΔͷͰ஫ҙ  • install.packages(“tidyverse”) w εΫϦϓτΛ࡞ͬͯΈΑ͏ w 'JMF/FX'JMF34DSJQU !13

Slide 14

Slide 14 text

31SPKFDUͱ͸ w ϓϩδΣΫτ୯ҐͰ෼ੳΛ؅ཧ͢Δ͘͠Έ w Ұ࿈ͷղੳͰඞཁʹͳΔϑΝΠϧ܈Λ·ͱΊͯѻ͏ w ࡞ۀσΟϨΫτϦ͕ͦ͜ʹͳΔ w ଞਓͱͷڞ༗͕͠΍͍͢ w 'JMF/FX1SPKFDUͰ࡞੒ !14

Slide 15

Slide 15 text

؀ڥΛઃఆ͠Α͏ w 5PPMT(MPCBM0QUJPOT͔Β؀ڥઃఆ w (FOFSBMɿνΣοΫΛશͯ֎ͦ͏ w 3FTUPSFQSFWJPVTMZPQFOTPVSDFEPDVNFOUBUTUBSUVQ
 ͸࢒͓͍ͯͯ͠ྑ͍ w $PEF4BWJOHɿΤϯίʔσΟϯάΛ65'ʹ w "QQFBSBODFɿ޷͖ͳݟͨ໨ʹઃఆ͠Α͏ !15

Slide 16

Slide 16 text

3ͷجຊ

Slide 17

Slide 17 text

جຊ w GPSจ JGจ ؔ਺ ͦͷଞʜ w ଞͷݴޠͱ͋·ΓมΘΒͳ͍ͷͰ ͻͭΑ͏ʹͳͬͨΒௐ΂ ͍ͯͩ͘͞ w ഑ྻͷࢀর͸͸͡·Γʂʂ !17

Slide 18

Slide 18 text

3Ͱͷσʔλܕ Ұͭͷ஋ w -PHJDBM #PPMFBO  w *OUFHFS w %PVCMF w $PNQMFY w $IBSBDUFS w 'BDUPS w FUDʜ !18 ෳ਺ͷ஋ w "UPNJD7FDUPS w .BUSJY w %BUB'SBNF w -JTU w FUDʜ

Slide 19

Slide 19 text

"UPNJD7FDUPS w ̍࣍ݩ഑ྻ w ཁૉ͸શͯಉ͡ܕ શͯJOUFHFS શͯDIBSBDUFS ͳͲ  w ཁૉͷશͯΛ·ͱΊͯॲཧͰ͖Δʢ࢛ଇԋࢉͱ͔ʣ w c()Ͱ࡞Δ !19

Slide 20

Slide 20 text

"UPNJD7FDUPS !20 drink <- c(“beer”, “sake”, “whisky”) # ୅ೖ drink # ΦϒδΣΫτͷݺͼग़͠ price <- c(480, 700, 850) # ਺஋ܕϕΫτϧ favorite <- c(TRUE, TRUE, TRUE) # ࿦ཧܕϕΫτϧ

Slide 21

Slide 21 text

.BUSJY w ̎࣍ݩ഑ྻ w ཁૉ͸શͯಉ͡ܕ w ߦྻԋࢉ͕Ͱ͖Δʢ಺ੵͱ͔ʣ w ཁૉͷશͯΛ·ͱΊͯॲཧͰ͖Δʢ࢛ଇԋࢉͱ͔ʣ w matrix()Ͱ࡞Δ !21

Slide 22

Slide 22 text

-JTU w ̍࣍ݩ഑ྻ w ཁૉ͸ͳΜͰ΋͍͍ 7FDUPSͷ֦ு  w list()Ͱ࡞Δ w ࣗ༝౓͕ΊͬͪΌߴ͍ !22

Slide 23

Slide 23 text

%BUB'SBNF ͓ͳ͡Έͷ࢛͍֯ςʔϒϧ • ֤ྻ͸ಉ͡௕͞ͷ Atomic vector w data.frame()Ͱ࡞Δ w data.frame(drink = drink, 
 price = price, 
 favorite = favorite) w ༷ʑͳύοέʔδ͕%BUB'SBNFΛத৺ʹ࡞ΒΕ͍ͯΔ !23

Slide 24

Slide 24 text

%BUB'SBNFʹ৮Ζ͏ starwars <- read.csv("data/starwars.csv", stringsAsFactors = FALSE, fileEncoding = “UTF-8”) head(starwars) # ઌ಄֬ೝ tail(starwars) # ຤ඌ֬ೝ summary(starwars) # هड़౷ܭྔ str(starwars) # ֤ྻͷܕ֬ೝ !24

Slide 25

Slide 25 text

ϞμϯͳσʔλϑϨʔϜૢ࡞

Slide 26

Slide 26 text

ʮ5PPMʹਫ਼௨͢Δʯͱ͍͏͜ͱ ྉཧʹྫ͑Δͱ w แஸ΍ίϯϩΛ࢖͑ΔΑ͏ʹͳΖ͏ w Ϩγϐ͸దٓݟΕ͹Α͍ ʮര଎ͰσʔλΛѻ͑Δʯͱ͍͏͜ͱ w ๲େͳࢼߦࡨޡΛ܁ΓฦͤΔ w ࣌ؒ͸༗ݶ ຊ࣭తͰͳ͍࡞ۀ͸ͬ͞͞ͱऴΘΒͤͯ
 ҿΈʹग़͔͚Α͏ݚڀ͠Α͏ !26

Slide 27

Slide 27 text

5JEZWFSTF ֓೦ w 3Ͱͷ༷ʑͳૢ࡞ *NQPSU &YQPSU 5SBOTGPSN 7JTVBMJ[BUJPO FUD ͕
 ౷ҰతͳΠϯλʔϑΣʔεͰग़དྷͨΒ ૉఢͩΑͶ ύοέʔδ w ্هΛ࣮ݱ͢ΔͨΊͷύοέʔδ܈ w install.packages(“tidyverse”) ͰΠϯετʔϧ w )BEMFZ8JDLIBN 34UVEJPࣾ ͕த৺ͱͳΓ։ൃ w ௒ศར !27 ˞)BEMFZ8JDLIBN3քͷਆ

Slide 28

Slide 28 text

5JEZWFSTF !28

Slide 29

Slide 29 text

5JEZWFSTF !29 ಛʹ͜ΕΒ

Slide 30

Slide 30 text

library(tidyverse)

Slide 31

Slide 31 text

%BUB'SBNFͷجຊૢ࡞ EQMZS w ม਺ ྻ ͷநग़ w ؍ଌ ߦ ͷநग़ w ؍ଌ ߦ ͷฒͼସ͑ w ৽ͨͳม਺ ྻ ͷ࡞੒ w ूܭ w άϧʔϓԽ !31 • select() • filter() • arrange() • mutate() • summarise() • group_by()

Slide 32

Slide 32 text

࢖͍ํ w ୈҾ਺ʹ͸σʔλϑϨʔϜΛ༩͑Δ w ୈҾ਺Ҏ߱Ͱ͸ྻ໊ΛΫΦʔςʔγϣϯແ͠Ͱ༩͑Δ w ໭Γ஋͸৽ͨͳσʔλϑϨʔϜ !32

Slide 33

Slide 33 text

΍ͬͯΈΑ͏ select(starwars, name, gender, species) filter(starwars, species == "Human", height <= 170) mutate(starwars, BMI = mass / (height/100)^2) arrange(starwars, gender, height) summarise(starwars, mean_mass = mean(mass, na.rm = TRUE), mean_height = mean(height, na.rm = TRUE)) grouped <- group_by(starwars, species) summarise(grouped, mean_mass = mean(mass, na.rm = TRUE), mean_height = mean(height, na.rm = TRUE), count = n()) !33

Slide 34

Slide 34 text

%>%

Slide 35

Slide 35 text

ύΠϓԋࢉࢠ%>% X %>% f X %>% f(y) X %>% f %>% g X %>% f(y, .) !35 f(X) f(X, y) g(f(X)) f(y, X) લͷؔ਺ͷग़ྗΛ࣍ͷؔ਺ͷୈҾ਺ʹΘͨ͢΋ͷ $NE 4IJGU N $USM 4IJGU N Ͱೖྗ

Slide 36

Slide 36 text

ෳ਺ͷॲཧΛ͢Δ৔߹ df1 <- filter(starwars, species == "Human") df2 <- mutate(d1, BMI = mass / (height/100)^2) df3 <- group_by(df2, gender) df4 <- summarise(df3, mean_BMI = mean(BMI, na.rm=TRUE), min_BMI = min(BMI, na.rm=TRUE), max_BMI = max(BMI, na.rm=TRUE) !36 # A tibble: 2 x 4 gender mean_BMI min_BMI max_BMI 1 female 22.0 16.5 27.5 2 male 26.0 21.5 37.9

Slide 37

Slide 37 text

ෳ਺ͷॲཧΛ͢Δ৔߹ starwars %>% filter(species == "Human") %>% mutate(BMI = mass / (height/100)^2) %>% group_by(gender) %>% summarise(mean_BMI = mean(BMI, na.rm=TRUE), min_BMI = min(BMI, na.rm=TRUE), max_BMI = max(BMI, na.rm=TRUE)) %>%Λ࢖͏͜ͱͰ ୭ʹͰ΋ಡΈ΍͍͢ίʔυʹʂʂ !37

Slide 38

Slide 38 text

࿅श໰୊  ਎௕ͷ࠷΋௿͍உੑΛ֬ೝͤΑ  #.*ͷ΋ͬͱ΋ߴ͍ొ৔ਓ෺͸୭͔  ฏۉ਎௕͕࠷΋ߴ͍छ଒͸Կ͔
  ݕࡧͯͦ͠ͷ࢟Λ͔֬ΊΑ͏ !38

Slide 39

Slide 39 text

࣍ճ·Ͱͷ՝୊

Slide 40

Slide 40 text

՝୊ 1. ൃۭߓ (origin) ͝ͱͷඈߦػศͷ਺, ඈߦڑ཭ͷฏۉ, ग़ൃ࣌ࠁ஗Ԇͷ ฏۉΛٻΊΑ 2. ೔෇͝ͱͷग़ൃ࣌ࠁ஗ԆͷฏۉΛٻΊΑ 3. ೔෇͝ͱʹܽߤʹͳͬͨศͷ਺Λௐ΂Α
 ʢܽߤͩͱdep_delayͱarr_delay͕NAʹͳΔʣ 4. ࣮ࡍʹඈΜͩศͷඈߦڑ཭ͷඪ४ภࠩΛग़ൃۭߓ͝ͱʹٻΊ, ঢॱʹ ฒ΂Α 5. ೔෇͝ͱʹ, ۭߓLGA͔Β࠷ॳʹඈΜͩศͱ࠷ޙʹඈΜͩศΛநग़ͤΑ 6. ࣮ࡍʹඈΜͩศͷ͏ͪ, ఆࠁ௨Γग़ൃͨ͠ศͷׂ߹Λௐ΂Α ώϯτɿdplyrͷؔ਺ͷதͰ n() Λ࢖͏ͱߦ਺Λࢉग़Ͱ͖Δ !40