creave data mining - ia · creave data mining lecture 02: intro to rstudio and clustering 29...

Crea%veDataMining

Lecture02:IntrotoRStudioandClustering29February2016

DanielleGriego,griegod@ethz.chMaGhiasStandfest,standfest@arch.ethz.ch

•  HW1:Sharewhatyouhavelearnedabouturbandatamining(20min)

•  Break(10min)•  Rtutorial(60min)

Whatwe’llcovertoday:

1. Install R from http://cran.r-project.org/ 2. Install RStudio from http://www.rstudio.com/products/rstudio/download/ 3. Research other examples of urban data mining and make 3 slides about the most interesting project/application/resarch group(s) that you find. Will be presented at the beginning of next lecture.

Homework_1

ADJUSTCOLORS

CREATIVE DATA MINING Intuitively Analysing Design Ideas

OVERVIEWlecture_2.R

CREATIVE DATA MINING Intuitively Analysing Design Ideas

IRISDATASET(1936)en.wikipedia.org/wiki/Iris_flower_data_set

CREATIVE DATA MINING Intuitively Analysing Design Ideas

VIEWPREINSTALLEDDATAFRAMElecture_2_00.R

CREATIVE DATA MINING Intuitively Analysing Design Ideas

SAVEANDREADDATAlecture_2_01.R

CREATIVE DATA MINING Intuitively Analysing Design Ideas

USEONLYPARTSOFTHEDATAlecture_2_02.R

CREATIVE DATA MINING Intuitively Analysing Design Ideas

DATAFRAMEANDMATRIXlecture_2_03.R

CREATIVE DATA MINING Intuitively Analysing Design Ideas

ADDITIONALSTUFFlecture_2_04.R

CREATIVE DATA MINING Intuitively Analysing Design Ideas

Schedule

Homework: 1.  Review the R-tutorials lecture_2_00 through lecture_2_04 2.  Complete HW_2 3.  Optional: Review how to export images from maps.stamen.com according to the tutorial on the

next pages. We will prepare the street maps for the next course exercise, but this is one method to create an image database for clustering analysis in the first block.

CREATIVE DATA MINING Intuitively Analysing Design Ideas

ZOOM UNTIL YOU CAN READ 17 IN HERE

Picture size 2000 x 2000 px

Finally click „make“

Adjust the yellow frame so It fills almost the whole screen

click the link here

download the image with a meaningful name (e.g. „ETHhoenggerberg.png“)