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LOD METI
1.
Rゲン語で可視化について パヴェウ・ルシン 株式会社ブリリアントサービス
2.
自己紹介 ● Paweł Rusin (パヴェウ・ルシン) ● pawel.rusin@brilliantservice.co.jp Facebook:
Paweł Rusin ( iofar@o2.pl) ● 会社: ● 株式会社ブリリアントサービス ● 業務: ● データマイニング ● ウェアラブルOS開発
3.
自己紹介
4.
自己紹介 http://kansaizeror.blogspot.jp
5.
R言語について ● 無料 ● オーペンソース ● スキリプト言語 ● スプレッドシートソフトとプログラミング言語の妥協 ● 統計に迎えて ● パッケージ「多くて使いやすい」
6.
統計に迎えて > 42 [1] 42 >
-273.15 [1] -273.15 > 2.3e4 [1] 23000 > Inf [1] Inf > 1+1i [1] 1+1i
7.
統計に迎えて >2+2 [1] 4 > -273.15*33.8 [1]
-9232.47 > 3^4 [1] 81 > Inf*100000000000000000 [1] Inf sqrt(-4+0i) [1] 0+2i
8.
統計に迎えて ベクター > c(1,3,-1,8,0) 1 2 3 4 5 ... ,2 ,3 [1] 1
3 -1 8 0 配列 ,1 > matrix(111:119,3,3) 1, [,1] [,2] [,3] [1,] 111 114 117 [2,] 112 115 118 [3,] 113 116 119 2, 3, x
9.
統計に迎えて Python LOD XLS CSV Twitter データフレーム year 1 2008 2 2008 3
2008 4 2008 5 2008 6 2008 surface city street n.rooms condition 20 Warszawa Bagno 1 do remontu 25 Warszawa Pruszkow 1 do remontu 26 Warszawa Marymoncka 1 do remontu 27 Warszawa Sienna 1 dobry 28 Warszawa Raclawicka 1 do remontu 28 Warszawa Miaczynska 2 dobry lat 52.22947 52.17162 52.27114 52.24238 52.19814 52.19814 lon 21.00761 20.80639 20.95003 20.98659 21.01752 21.01752
10.
統計に迎えて a = c(1:10) [1]
1 2 3 4 5 6 7 8 9 10 sum(a) min(a) max(a) [1] 55 [1] 1 [1] 10 mean(a) var(a) [1] 5,5 [1] 9.166667
11.
統計に迎えて plot(faithful$eruptions,faithful$waiting)
12.
基本的な機能が足りない場合に は?
13.
パッケージ RandomForest 機会学習 lattice Ggplot2 Rmysql 可視化 Shiny googleVis e1071 rmongodb データを処理 bigVis rjson SPARQL C API 高速化 parallel 並列計算 GPU froeach gputools stats C/C++ Rcpp
14.
パッケージ CRAN – Comprehensive
R Archive Network [5019 パッケージ]
15.
パッケージ Source: http://blog.revolutionanalytics.com/
16.
パッケージ install.packages("パッケージの名前 ") library(パッケージの名前 )
17.
ggplot2
18.
lattice
19.
Shiny
20.
googleVis
21.
RStudio
22.
デモ
23.
パッケージを準 備 install.packages("SPARQL") library(SPARQL)
24.
データを取得 endpoint <- "http://lod.hozo.jp/endpoint/osakatest"
25.
データを取得 query <- "PREFIX
blab: <http://linkdata.org/resource/rdf1s924i/> SELECT ?s ?p ?o WHERE {?s ?p ?o} limit 10"
26.
データを取得 qd <- SPARQL(endpoint,query)$results
27.
データを表示 Install.packages(„googleVis”) Library(googleVis) plot(gvisMap(data, locationvar="latlong", tipvar="name"))
28.
データを表示
29.
ありがとうございまし た!
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