1. ETL – Using R Kiran Math Developer Work @ : Flour in Greenville SC

2. Motivation

3. Tidy Data
Raw Sensor Data
GOAL

4. R <- Core && R <-packages
ggPlot2
sqldf
Base
Packages
rodbc
dplyr
stringR
reshape2
tidyR
lubridate
R <- Core && R <-packages

5. Home Sale price Question :
I have a 3000 square ft house located in zipcode
How much it will sale for?

6. Visualize
Model
Transform
Get & Tidy
Transform
@hadleywickham

7. Get Data – From CSV File

8. Data frame Variables Observations dat[5,3] dat
A data frame is used for storing data tables. It is a list of vectors of equal length.
To retrieve data in a cell, we would enter its row and column coordinates in the single square bracket "[]" operator. The two coordinates are separated by a comma.

9. Str(Dat)
If you need a quick overview of your dataset, use the R command str() and look at the structure.
tells you something about the classes of your variables and the number of observations.

10. R – Summary() summary(object)
distribution of your variables in the dataset
Numerical variables: summary() gives you the range, quartiles, median, and mean.
Factor variables: summary() gives you a table with frequencies.

11. Passes object on LHS as first argument to function on RHS
SELECT - DPLYR

12. Visualize
Model
Transform
Get & Tidy
Transform
@hadleywickham

13. Linear Regression model

14. Home Sale
Question :
I have a 3000 sql ft house and how much it will sale for?
Answer : $198,000

15. DEMO – Housing Price

17. Motivation

18. Excel Data
ETL
Sql Server Table
Motivation

19. Motivation

20. Gather
Spread ~ does the opposite
tDat
gDat
Gather columns into Rows

21. Mutate
gDat
Compute and appends or new columns

22. DEMO – Import Data into SQL SERVER

23. Thank you