My talk on the first satRday conference about packages I consider useful while I analyze infrastructure or business data

1. R in Infrastructure and Business Analytics
Ágnes Salánki

3. ALWAYS USE THE RIGHT TOOL!

4. ALWAYS USE THE RIGHT TOOL!

5. ALWAYS USE THE RIGHT TOOL!
– UNLESS –
YOU KNOW ONLY
R
– THEN –
ALWAYS USE R

11. Infrastructure
Analytics
Business
Analytics

12. Infrastructure
Analytics
Business
Analytics

13. Infrastructure
Analytics
Business
Analytics

14. Infrastructure
Analytics
Business
Analytics

15.  PhD student
 Fault Tolerant Systems
Research Group
 Systems with availability of
99.99%
 Data Analyst in Product
Management
 Secret Sauce Partners
 Data-driven fashion industry

16.  PhD student
 Fault Tolerant Systems
Research Group
 Systems with availability of
99.99%
 Data Analyst in Product
Management
 Secret Sauce Partners
 Data-driven fashion industry

17.  Continuous sampling  Stream of events
User1
User2
Metric1
Metric2
time
time time
time

18.  Continuous sampling  Stream of events
User1
User2
Metric1
Metric2
time
time time
time
Time

19.  Archived data: csv
 Read-filter-join
 Archived data: databases
 Joins in SQL already
 Scraping

20.  Archived data: csv
 Read-filter-join
 Archived data: databases
 Joins in SQL already
 Scraping
data.table
RPostgreSQL
Rvest

21.  Long format
 when, where, what, value
 Wide format
 lots of additional information
User1 time
CPU
Memory
1 CPU
2 CPU
3 CPU
1 Mem
2 Mem
3 Mem

22.  Long format
 when, where, what, value
 Wide format
 lots of additional information
User1 time
CPU
Memory
1 CPU
2 CPU
3 CPU
1 Mem
2 Mem
3 Mem
CPU Mem
1
2
3

23.  Long format
 when, where, what, value
 Wide format
 lots of additional information
reshape2
dplyr
User1 time
plyr
CPU
Memory
tidyr

24.  ggplot2
 geom_point, geom_line
 transformation: linear scale
 ggplot2
 geom_tile, geom_density
 transformations: log
ggplot2

25.  ggplot2
 geom_point, geom_line
 transformation: linear scale
 ggplot2
 geom_tile, geom_density
 transformations: log
ggplot2

26.  ggplot2
 geom_point, geom_line
 transformation: linear scale
 ggplot2
 geom_tile, geom_density
 transformations: log
ggplot2

27.  ggplot2
 geom_point, geom_line
 transformation: linear scale
 ggplot2
 geom_tile, geom_density
 transformations: log
ggplot2

28.  Static pdf reports  Excel/Google spreadsheets
 Package development
rmarkdown
knitr
xlsx
googlesheets
devtools

29. rmarkdown
knitr
xlsx
googlesheetsggplot2
data.table
RPostgreSQL
Rvest
reshape2
dplyr
plyr
tidyr devtools

30. rmarkdown
knitr
xlsx
googlesheetsggplot2
data.table
RPostgreSQL
Rvest
reshape2
dplyr
plyr
tidyr devtools

31. rmarkdown
knitr
xlsx
googlesheetsggplot2
data.table
RPostgreSQL
Rvest
reshape2
dplyr
plyr
tidyr devtools

32. rmarkdown
knitr
xlsx
googlesheetsggplot2
data.table
RPostgreSQL
Rvest
reshape2
dplyr
plyr
tidyr
shiny
devtools
purrcaret stringr

33. Confidence in data munging
Domain knowledge/curiosity
Sense of achievement
+
=