Characteri z ing a single v ariable DATA VISU AL IZATION IN R Ron - PowerPoint PPT Presentation

Jul 12, 2023 •29 likes •319 views

Characteri z ing a single v ariable DATA VISU AL IZATION IN R Ron Pearson Instr u ctor What do w e e x pect to see ? DATA VISUALIZATION IN R What do w e e x pect to see ? DATA VISUALIZATION IN R What do w e e x pect to see ? DATA

Characteri z ing a single v ariable DATA VISU AL IZATION IN R Ron Pearson Instr u ctor
What do w e e x pect to see ? DATA VISUALIZATION IN R
What do w e e x pect to see ? DATA VISUALIZATION IN R
What do w e e x pect to see ? DATA VISUALIZATION IN R
Usef u l characteri z ation tools in base R graphics DATA VISUALIZATION IN R
Usef u l tools e v en w hen data are not Ga u ssian DATA VISUALIZATION IN R
Let ' s practice ! DATA VISU AL IZATION IN R
Vis u ali z ing relations bet w een t w o v ariables DATA VISU AL IZATION IN R Ron Pearson Instr u ctor
Scatterplots library(MASS) plot(medv ~ rm, data = Boston) DATA VISUALIZATION IN R
library(MASS) plot(medv ~ rm, data = Boston) DATA VISUALIZATION IN R
library(MASS) plot(medv ~ rm, data = Boston) DATA VISUALIZATION IN R
library(MASS) plot(medv ~ rm, data = Boston) DATA VISUALIZATION IN R
S u nflo w erplots DATA VISUALIZATION IN R
S u nflo w erplots DATA VISUALIZATION IN R
Bo x plots DATA VISUALIZATION IN R
Bo x plots library(MASS) boxplot(crim ~ rad, data = Boston, log = "y", las = 1, xlab = "rad") title("Variation of Boston$crim values over discrete Boston$rad values") DATA VISUALIZATION IN R
Mosaic plot mosaicplot(cyl ~ gear, data = mtcars, main ="Mosaicplot") DATA VISUALIZATION IN R
Let ' s practice ! DATA VISU AL IZATION IN R
Sho w ing more comple x relations bet w een v ariables DATA VISU AL IZATION IN R Ron Pearson Instr u ctor
Bagplots : t w o - dimensional bo x plots DATA VISUALIZATION IN R
Correlation coefficient Relationship bet w een t w o n u merical v ariables N u mber bet w een -1 and +1 DATA VISUALIZATION IN R
Correlation coefficient Relationship bet w een t w o n u merical v ariables N u mber bet w een -1 and +1 DATA VISUALIZATION IN R
Correlation coefficient Relationship bet w een t w o n u merical v ariables N u mber bet w een -1 and +1 DATA VISUALIZATION IN R
Correlation plots mtCor <- cor(mtcars) library(corrplot) corrplot(mtCor, method = "ellipse") DATA VISUALIZATION IN R
DATA VISUALIZATION IN R
Displa y ing decision tree models library(rpart) treeModel <- rpart(mpg ~ ., data = mtcars) plot(treeModel) text(treeModel, cex = 1.6, col = "red", xpd = TRUE) DATA VISUALIZATION IN R
Displa y ing decision tree models DATA VISUALIZATION IN R
Displa y ing decision tree models DATA VISUALIZATION IN R
Let ' s practice ! DATA VISU AL IZATION IN R

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

M u lti v ariable logistic regression G E N E R AL IZE D L IN E AR MOD E L S IN P YTH ON Ita

M u lti v ariable logistic regression G E N E R AL IZE D L IN E AR MOD E L S IN P YTH ON Ita Ciro v ic Done v Data Science Cons u ltant M u lti v ariable setting Model form u la logit( y ) = + x 0 1 1 GENERALIZED LINEAR MODELS IN

736 views • 59 slides

What is a latent v ariable ? SU R VE Y AN D ME ASU R E ME N T D E VE L OP ME N T IN R George Mo

What is a latent v ariable ? SU R VE Y AN D ME ASU R E ME N T D E VE L OP ME N T IN R George Mo u nt Data anal y tics ed u cator Meas u ring " lo y alt y" Is a " latent v ariable " re ected in the " Brand Lo y alt

580 views • 26 slides

PART I V ARIABLE S ELECTION WITH I NTERVAL - CENSORED R ESPONSES O UTLINE 1 P ROGNOSTIC H UMAN L

V ARIABLE S ELECTION AND THE A SSESSMENT OF P REDICTIVE A CCURACY WITH I NTERVAL -C ENSORED R ESPONSES R ICHARD C OOK S TATISTICS AND A CTUARIAL S CIENCE U NIVERSITY OF W ATERLOO Statistical Issues in Biomarker and Drug Co-Development Toronto,

696 views • 34 slides

Ho w to pass a v ariable n u mber of arg u ments to a f u nction ? P R AC TIC IN G C OD IN G IN

Ho w to pass a v ariable n u mber of arg u ments to a f u nction ? P R AC TIC IN G C OD IN G IN TE R VIE W QU E STION S IN P YTH ON Kirill Smirno v Data Science Cons u ltant , Altran Arg u ment t y pes There are t w o t y pes of arg u ments :

901 views • 88 slides

De Density, , Por oros osity, , and Heat Capacity Ch Characteri ristics of Ash Deposits

De Density, , Por oros osity, , and Heat Capacity Ch Characteri ristics of Ash Deposits from a 1.5 M a 1. 5 MW C Coal F al Fur urnac nace Oxyfuel Technologies I The 41 st International Technical Conference on Clean Coal & Fuel

553 views • 36 slides

A Ch Characteri acteriza zation tion of All ll Retr trof ofit it Co Contr ntroller

American erican Contr ntrol ol Conf nfer eren ence ce 2018 18 FrB19 B19 Large-Scal cale e Systems ems A Ch Characteri acteriza zation tion of All ll Retr trof ofit it Co Contr ntroller ollers June e 29t 9th, h, 201 018

733 views • 26 slides

IMP IMPACTS CTS OF OF VARIAB ARIABLE LE CLIMA CLIMATE TE AND AND EFF EFFLUENT UENT FL

IMP IMPACTS CTS OF OF VARIAB ARIABLE LE CLIMA CLIMATE TE AND AND EFF EFFLUENT UENT FL FLOWS WS ON THE ON THE TRA TRANSBOUND NSBOUNDAR ARY Y SANT SANTA A CR CRUZ UZ AQUIFER QUIFER Elia M. Tapia, University of Arizona, Tucson,

507 views • 15 slides

SINGLE PIPE Yes! One (1) single pipe connected to all units on single pipe loop(s); no return pipe!

SINGLE PIPE Yes! One (1) single pipe connected to all units on single pipe loop(s); no return pipe! Introduction to Single Pipe systems design elements 5 Story Lodge Simple conceptual layout All units 1 ton @ 3 gpm

750 views • 20 slides

Single Molecule Bio-Physics Single Molecule Fluorescence Techniques Single Molecule Fluorescence

Single Molecule Bio-Physics Single Molecule Fluorescence Techniques Single Molecule Fluorescence Techniques State of the Art imaging of single (immobilized) fluorescent Cy5 molecules Pictures: Tinnefeld Lab Fluorescence Techniques / GFP Green

1.16k views • 50 slides

Class exercise Single-nucleotide polymorphism A single-nucleotide polymorphism (SNP,

Class exercise Single-nucleotide polymorphism A single-nucleotide polymorphism (SNP, pronounced snip) is a substitution of a single nucleotide that occurs at a specific position in the genome, where each variation is present at a level of

347 views • 10 slides

Single-point Webserver COUNTIS E17 - E18 - E27 - E28 Single-point Webserver The products have an

Single-point Webserver COUNTIS E17 - E18 - E27 - E28 Single-point Webserver The products have an Ethernet port with an integrated web server accessible on a standard web browser (Internet Explorer, firefox) Single-point webserver 2

456 views • 14 slides

Common Features of Flow Networks Single Source Single Sink Flows Simple setting: single

Common Features of Flow Networks Single Source Single Sink Flows Simple setting: single source s and single sink t Network represented by a (directed) graph G = ( V , E ) every other node v is an internal node Each edge e has a

898 views • 11 slides

GARY SHOEMAKER A R C H I T E C T S P C 203 LAF A YETTE ST 5TH FLR NEW YORK NY 10012 T 2 1 2

EXISTING NON INSULATED SINGLE HUNG / SINGLE PANE WINDOW. EXISTING NON INSULATED EXISTING NON INSULATED EXISTING PARTIAL ELEVATION @ 2ND FLOOR BALCONY SINGLE HUNG / SINGLE SINGLE HUNG / SINGLE W/ BALCONY OMITTED PANE WINDOW. PANE WINDOW.

185 views • 5 slides

Single top quark production at Single top quark production at NLO at the LHC NLO at the LHC

Single top quark production at Single top quark production at NLO at the LHC NLO at the LHC Reinhard Schwienhorst With S. Heim, C. Mueller, Q.-H. Cao, C.-P. Yuan PHENO 2010 LHC SM single top quark production Associated s-channel t-channel

185 views • 15 slides

Single Audit Act Overview Briefing January 27, 2004 General Topic of Discussion Single

Single Audit Act Overview Briefing January 27, 2004 General Topic of Discussion Single Audits -- Background and Key Provisions History 1979 Inconsistency, gaps and duplication 1984 Single Audit Act Office of Management and

278 views • 13 slides

INSIGHTS INTO SINGLE-HANDED CARE Gill Creighton Whats in a name? Single-handed

INSIGHTS INTO SINGLE-HANDED CARE Gill Creighton Whats in a name? Single-handed Reduced Enhanced Future-proofing Improved Right-sizing Why do we need single-handed care? People living longer

618 views • 25 slides

Forecasting in R Evaluating modeling accuracy Bahman Rostami-Tabar Outline 1 Residual

Forecasting in R Evaluating modeling accuracy Bahman Rostami-Tabar Outline 1 Residual diagnostics 2 Evaluating point forecast accuracy 3 Time Series Cross Validation (TSCV) 4 Time series cross validation 5 Evaluating prediction interval

751 views • 51 slides

COL866: Foundations of Data Science Ragesh Jaiswal, IITD Ragesh Jaiswal, IITD COL866:

COL866: Foundations of Data Science Ragesh Jaiswal, IITD Ragesh Jaiswal, IITD COL866: Foundations of Data Science High Dimension Space High dimensional geometry Claim For any unit length vector v R d defining north, most of the

1.49k views • 19 slides

MIPP: a Portable C++ SIMD Wrapper and its use for Error Correction Coding in 5G Standard Adrien

MIPP: a Portable C++ SIMD Wrapper and its use for Error Correction Coding in 5G Standard Adrien Cassagne 1 , 2 Olivier Aumage 1 Denis Barthou 1 Camille Leroux 2 Christophe Jgo 2 1 Inria, Bordeaux Institute of Technology, U. of Bordeaux,

952 views • 37 slides

Acceptance-Rejection method The acceptance-rejection method is usually used when the inverse

Acceptance-Rejection Method Acceptance-Rejection method The acceptance-rejection method is usually used when the inverse transform method is not directly applicable or is inefficient. To simulate a sample x of X with pdf f X . Aim: 1 Consider a

930 views • 26 slides

CS6220: DATA MINING TECHNIQUES 2: Data Pre-Processing Instructor: Yizhou Sun yzsun@ccs.neu.edu

CS6220: DATA MINING TECHNIQUES 2: Data Pre-Processing Instructor: Yizhou Sun yzsun@ccs.neu.edu September 7, 2014 2: Data Pre-Processing Getting to know your data Basic Statistical Descriptions of Data Data Visualization Data

507 views • 40 slides

A Graphical User Interface for Environmental Statistics Rudolf Dutter Department of Statistics

A Graphical User Interface for Environmental Statistics Rudolf Dutter Department of Statistics and Probability Theory Vienna University of Technology, Austria Dortmund, Germany August 13, 2008 Vienna University of Technology Book: Applied

759 views • 46 slides

Carlos Ramos Carreo Grupo de Aprendizaje Automtico, Department of Computer Science ,

Carlos Ramos Carreo Grupo de Aprendizaje Automtico, Department of Computer Science , Universidad Autnoma de Madrid (UAM) Who are we? Carlos Ramos Carreo (carlos.ramos@uam.es) Jos Luis Torrecilla Noguerales

255 views • 25 slides

Academic Skills in Computer Science (ASiCS) Creating Diagrams with R Subjects: Motivation What

Fakultt Informatik, Institut fr Software- und Multimediatechnik, Lehrstuhl fr Softwaretechnologie Academic Skills in Computer Science (ASiCS) Creating Diagrams with R Subjects: Motivation What is R? Introduction to R Creating Diagrams

584 views • 40 slides