Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
TokyoR extra #1
Search
dichika
April 18, 2014
Programming
0
290
TokyoR extra #1
Lightning talk
dichika
April 18, 2014
Tweet
Share
More Decks by dichika
See All by dichika
TokyoRLT#57
dichika
0
1.3k
Other Decks in Programming
See All in Programming
複数人でのCLI/Infrastructure as Codeの暮らしを良くする
shmokmt
5
2.1k
モデル駆動設計をやってみよう Modeling Forum2025ワークショップ/Let’s Try Model-Driven Design
haru860
0
230
JEP 496 と JEP 497 から学ぶ耐量子計算機暗号入門 / Learning Post-Quantum Crypto Basics from JEP 496 & 497
mackey0225
2
550
All(?) About Point Sets
hole
0
260
dnx で実行できるコマンド、作ってみました
tomohisa
0
130
Integrating WordPress and Symfony
alexandresalome
0
110
CSC305 Lecture 17
javiergs
PRO
0
270
AI時代もSEOを頑張っている話
shirahama_x
0
220
テストやOSS開発に役立つSetup PHP Action
matsuo_atsushi
0
140
connect-python: convenient protobuf RPC for Python
anuraaga
0
350
認証・認可の基本を学ぼう前編
kouyuume
0
140
手が足りない!兼業データエンジニアに必要だったアーキテクチャと立ち回り
zinkosuke
0
320
Featured
See All Featured
Docker and Python
trallard
46
3.7k
How GitHub (no longer) Works
holman
316
140k
Scaling GitHub
holman
464
140k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
370
The World Runs on Bad Software
bkeepers
PRO
72
12k
Rails Girls Zürich Keynote
gr2m
95
14k
We Have a Design System, Now What?
morganepeng
54
7.9k
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
Optimising Largest Contentful Paint
csswizardry
37
3.5k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8k
YesSQL, Process and Tooling at Scale
rocio
174
15k
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!!!