Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
TokyoR extra #1
Search
dichika
April 18, 2014
Programming
0
280
TokyoR extra #1
Lightning talk
dichika
April 18, 2014
Tweet
Share
More Decks by dichika
See All by dichika
TokyoRLT#57
dichika
0
1.2k
Other Decks in Programming
See All in Programming
Expoによるアプリ開発の現在地とReact Server Componentsが切り開く未来
yukukotani
2
280
Your Architecture as a Crime Scene:Forensic Analysis @bastacon 2025 in Frankfurt
manfredsteyer
PRO
0
130
LINE messaging APIを使ってGoogleカレンダーと連携した予約ツールを作ってみた
takumakoike
0
140
Amazon Bedrockマルチエージェントコラボレーションを諦めてLangGraphに入門してみた
akihisaikeda
1
180
機能が複雑化しても 頼りになる FactoryBotの話
tamikof
1
260
推しメソッドsource_locationのしくみを探る - はじめてRubyのコードを読んでみた
nobu09
2
370
フロントエンドオブザーバビリティ on Google Cloud
yunosukey
0
100
技術を改善し続ける
gumioji
0
180
Lambdaの監視、できてますか?Datadogを用いてLambdaを見守ろう
nealle
2
830
PHPカンファレンス名古屋2025 タスク分解の試行錯誤〜レビュー負荷を下げるために〜
soichi
1
770
Ça bouge du côté des animations CSS !
goetter
2
170
Djangoにおける複数ユーザー種別認証の設計アプローチ@DjangoCongress JP 2025
delhi09
PRO
4
520
Featured
See All Featured
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.2k
What's in a price? How to price your products and services
michaelherold
244
12k
Raft: Consensus for Rubyists
vanstee
137
6.8k
Large-scale JavaScript Application Architecture
addyosmani
511
110k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
4
390
Six Lessons from altMBA
skipperchong
27
3.6k
Done Done
chrislema
182
16k
4 Signs Your Business is Dying
shpigford
183
22k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
49k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
33
2.8k
Agile that works and the tools we love
rasmusluckow
328
21k
Site-Speed That Sticks
csswizardry
4
420
Transcript
How do you keep our mo-va-on? 2014/4/17
I am a big fan of googleVis
シリーズRで可視化#1 ggplot2と googleVisと hwriterで レポートを作る
@dichika This is the evidence
Me • Daisuke Ichikawa • First year of the
doctoral course of University of Tokyo • Major : Social medicine • Research interest : Mo-va-on for health • daisukeichikawa.blogspot.com
How do you keep your mo-va-on during analysis?
My Ordinary days beginning dead -me finish & beer
Get up our dead -me for keeping our mo-va-on
But analysis is a silent task • R doesn't say
any words • Just send text messages • You get rewards from just reading messages from your R Difficult to keep our mo-va-on
Solu-ons • Take a nap – Great, but can you
do it? • Listen to music – OK, music could make us relaxed – But it doesn't pull up our mo-va-on for analysis directly • How should we do?
Requirements • Methods other than text messages • Related
to the process of our analysis
I have developed two packages • yeah • pings
– both packages are based on pingr package
yeah package • You can hear the author's voice of
packages • Includes two func-ons – libraryy : load package and sound – yeah : just sound
pings package • Counts the number of chain operators and
make a sound • Chain operators are included in some libs – dplyr %.% – magri_r %>% • With chain operators, you don't need to use make temporary objects for acquiring the final result
example library(yeah) libraryy(pings) # My voice libraryy(dplyr)
# No voice pings(mtcars %.% filter(am==1) %.% group_by(gear) %.% summarise(avg_wt = mean(wt)) )
Conclusion • Difficult to keep mo-va-on during analysis
• yeah and pings might be helpful • You can install both from github – h_ps://github.com/dichika/yeah
Enjoy!!!