SlideShare a Scribd company logo
1 of 34
Alex Natekin
Deloitte Analytics Institute
2
Been there, done that
natekin@dmlabs.org
vk.com/natekin
linkedin.com/in/natekin
facebook.com/alex.natekin
3
Data.table
4
Legend says
And many others…
“the R god of number crunching”
5
Legend says (2)
… to read the manual
With great poweR comes great Responsibility
of fasteR & richeR
data crunching …
6
Choose your side
dplyr sqldfdata.table
“Hadleyverse” Way of the warrior…
…each one is way different from data.frame
7
Choose your side… wisely
from recent Matt
Dowle’s meetup
presentations
8
from recent Matt
Dowle’s meetup
presentations
…just search for “data.table benchmarks”
Choose your side… wisely (2)
9
data.table applicability
Solution
Data
extraction &
checks
Data
processing
Feature
engineering
Models Stories
…trying to find your place under the sun
10
data.table applicability
Solution
Data
extraction &
checks
Data
processing
Feature
engineering
Models Stories
Naïve
functionality
Most awesome
functionality
Is closest to
production code
(if applicable to R)
11
Core functionality
1. Data reading & memory
management
2. Data access & ordering
3. Grouping & aggregation
…
feature engineering
More efficient:
12
Core functionality (2)
1. Data reading & memory
management
2. Data access & ordering
3. Grouping & aggregation
…
feature engineering
More efficient:
…as data.frame extension (~100% compatible)
1. Reduce
machine time
2. Reduce human
programming
time
13
Core principle
DT[i, j, by]
1. Take DT
2. Subset rows by i
3. Calculate j
4. …grouped by by
14
Core principle (2)
from data.table
tutorial
15
Example: churn
Sorry
Laptop died last
evening,
no interactive
tutorial 
Screenshots
from remaining
files
16
Example
17
Example
18
Example
19
Example (manual injection)
setkey(DT, colA, colB)
Yet another
recent Matt
Dowle’s meetup
presentations
20
Example
21
Example
22
Example
23
Example
24
Example
25
Example
26
Example: churn
27
Example: churn
28
Example: churn
29
Example: churn
30
Example: churn
31
Functionality: more
1. Fread
2. Column updates
3. Set functions (set, setnames, …)
4. Special symbols (.SD, .I, …)
5. Joins
… next time 
32
More: resources
33
SummaRy
1. data.table is helpful & awesome
2. go forth and use it
3. RTFM
Thanks!
Alex Natekin
anatekin@deloitte.ru
+7 915 070 45 74

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