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
Data Carpentry with Tidyverse
Search
Muhammad Aswan Syahputra
May 11, 2019
0
200
Data Carpentry with Tidyverse
Meetup Algoritma X Machine Learning ID X Komunitas R Indonesia
Muhammad Aswan Syahputra
May 11, 2019
Tweet
Share
More Decks by Muhammad Aswan Syahputra
See All by Muhammad Aswan Syahputra
#DS101: understanding the basics
aswansyahputra
0
77
Extending RStudio with Git(Hub)
aswansyahputra
0
98
Data rectangling in R: a journey from JSON to CSV
aswansyahputra
0
360
Basic Git+GitHub
aswansyahputra
1
320
Let's build your first RStudio and Addins
aswansyahputra
0
140
Introduction to R +
aswansyahputra
1
320
R (+) for Data Science
aswansyahputra
0
110
R + RStudio Tips and Tricks
aswansyahputra
0
170
Blogging with R
aswansyahputra
0
110
Featured
See All Featured
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.5k
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Rebuilding a faster, lazier Slack
samanthasiow
83
9.1k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3k
Making the Leap to Tech Lead
cromwellryan
134
9.5k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
22k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
Build your cross-platform service in a week with App Engine
jlugia
231
18k
Making Projects Easy
brettharned
117
6.3k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
16k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
50
5.5k
Agile that works and the tools we love
rasmusluckow
329
21k
Transcript
None
• Sensory Scientist @ Sensolution.ID • Trainer @ R-Academy Telkom
University and The Datanomics Institute (TDI) • Initiator of Komunitas R Indonesia • Pkgs: sensehubr, nusandata, bandungjuara, prakiraan, etc • Shinyapps: sensehub, thermostats, aquastats, bcrp, bandungjuara, etc aswansyahputra @aswansyahputra_
R Indonesia R Indonesia www.r-indonesia.id Komunitas t.me/GNURIndonesia @r_indonesia_ indo-r www.r-indonesia.id
R Indonesia www.r-indonesia.id
Know your neighbour! • Who are you? • What you
do with data? • How would you describe your experience with R?
Artwork by @allison_horst
Artwork by @allison_horst
Data Carpentry?
It’s so relatable, is it not?
None
None
“ Do not underestimate DATA PREPROCESSING
is not a single process but a thousand of little
skills and techniques “ - David Minmo
Artwork by @allison_horst The tidyverse is an opinionated collection of
R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.
Program Import Tidy Transform Visualise Model Communicate Understand
Program Import Tidy Transform Visualise Model Communicate Understand
Artwork by @allison_horst tidyr
Artwork by @allison_horst dplyr
dplyr basic functions: • filter() selects rows based on their
values • mutate() creates new variables • select() picks columns by name • summarise() calculates summary statistics • arrange() sorts the rows dplyr basic functions: • filter() selects rows based on their values • mutate() creates new variables • select() picks columns by name • summarise() calculates summary statistics • arrange() sorts the rows Credits to Michael Toth tidyr basic functions: • gather() wide-format >> long-format • spread() long-format >> wide-format • fill() fills value based on previous entry • complete() turns implicit missing values into explicit tidyr basic functions: • gather() wide-format >> long-format • spread() long-format >> wide-format • fill() fills value based on previous entry • complete() turns implicit missing values into explicit Operators: • ! (not) • I (or) • & (and) • ==, != • <, <=, >, >= • %in% • is.na() Operators: • ! (not) • I (or) • & (and) • ==, != • <, <=, >, >= • %in% • is.na()
How can I chain?
None
1. diputar 2. dijilat 3. dicelupin 4. dimakan :D
1. putar(apa) 2. jilat(apa, berapa_kali) 3. celup(apa, ke) 4. makan(apa,
output)
a > oreo_putar ← putar(apa = “oreo”) > oreo_jilat ←
jilat(apa = oreo_putar, berapa_kali = 2) > oreo_celup ← celup(apa = oreo_jilat, ke = “susu”) > makan(apa = oreo_celup, output = “kenyang.perut”)
> oreo_putar ← putar(apa = “oreo”) > oreo_jilat ← jilat(apa
= oreo_putar, berapa_kali = 2) > oreo_celup ← celup(apa = oreo_jilat, ke = “susu”) > makan(apa = oreo_celup, output = “kenyang.perut”) a
> makan( celup( jilat( putar(apa = “oreo”), berapa_kali = 2
), ke = “susu” ), output = “kenyang.perut” ) b
function(arg1, arg2, arg3,...) arg1 %>% function(arg2, arg3,...) function(arg1, arg2, arg3,...)
arg2 %>% function(arg1, arg2=.,arg3,...) magrittr
> putar(apa = “oreo”) %>% jilat(berapa_kali = 2) %>% celup(ke
= “susu”) %>% makan(output = “kenyang.perut”) c
What to do today?
None
www.onepiece.fandom.com www.onepiece.fandom.com
Let’s get started! • Let’s write R scripts together! •
I will demonstrate and explain the use of each code • Access this presesentation at: s.id/data-carpentry- with-tidyverse
None
None
None
None
None
None
s.id/yt_aswansyahputra s.id/yt_aswansyahputra
Thanks!
[email protected]
www.aswansyahputra.com speakerdeck.com/ aswansyahputra R Indonesia www.r-indonesia.id