R Graphics Cookbook. Chang O'REILLY. Winston. Tokyo. Beijing Cambridge. Farnham Koln Sebastopol


 Owen Norris
 2 years ago
 Views:
Transcription
1 R Graphics Cookbook Winston Chang Beijing Cambridge Farnham Koln Sebastopol O'REILLY Tokyo
2 Table of Contents Preface ix 1. R Basics Installing a Package Loading a Package Loading a Delimited Text Data File Loading Data from an Excel File Loading Data from an SPSS File 5 2. Quickly Exploring Data Creating a Scatter Plot Creating a Line Graph Creating a Bar Graph Creating a Histogram Creating a Box Plot Plotting a Function Curve Bar Graphs Making a Basic Bar Graph Grouping Bars Together Making a Bar Graph of Counts Using Colors in a Bar Graph Coloring Negative and Positive Bars Differently Adjusting Bar Width and Spacing Making a Stacked Bar Graph Making a Proportional Stacked Bar Graph Adding Labels to a Bar Graph Making a Cleveland Dot Plot Line Graphs 49 iii
3 4.1. Making a Basic Line Graph Adding Points to a Line Graph Making a Line Graph with Multiple Lines Changing the Appearance of Lines Changing the Appearance of Points Making a Graph with a Shaded Area Making a Stacked Area Graph Making a Proportional Stacked Area Graph Adding a Confidence Region Scatter Plots Making a Basic Scatter Plot Grouping Data Points by a Variable Using Shape or Color Using Different Point Shapes Mapping a Continuous Variable to Color or Size Dealing with Overplotting Adding Fitted Regression Model Lines Adding Fitted Lines from an Existing Model Adding Fitted Lines from Multiple Existing Models Adding Annotations with Model Coefficients Adding Marginal Rugs to a Scatter Plot Labeling Points in a Scatter Plot Creating a Balloon Plot Making a Scatter Plot Matrix Summarized Data Distributions Making a Basic Histogram Making Multiple Histograms from Grouped Data Making a Density Curve Making Multiple Density Curves from Grouped Data Making a Frequency Polygon Making a Basic Box Plot Adding Notches to a Box Plot Adding Means to a Box Plot Making a Violin Plot Making a Dot Plot Making Multiple Dot Plots for Grouped Data Making a Density Plot of TwoDimensional Data Annotations Adding Text Annotations Using Mathematical Expressions in Annotations 150 iv Table ofcontents
4 7.3. Adding Lines Adding Line Segments and Arrows Adding a Shaded Rectangle Highlighting an Item Adding Error Bars Adding Annotations to Individual Facets Axes Swapping X and YAxes Setting the Range of a Continuous Axis Reversing a Continuous Axis Changing the Order of Items on a Categorical Axis Setting the Scaling Ratio of the X and YAxes Setting the Positions of Tick Marks Removing Tick Marks and Labels Changing the Text of Tick Labels Changing the Appearance of Tick Labels Changing the Text of Axis Labels Removing Axis Labels Changing the Appearance of Axis Labels Showing Lines Along the Axes Using a Logarithmic Adding Ticks for a Logarithmic Axis 190 Axis Making a Circular Graph Using Dates on an Axis Using Relative Times on an Axis Controlling the Overall Appearance of Graphs Setting the Title of a Graph Changing the Appearance of Text Using Themes Changing the Appearance oftheme Elements Creating Your Own Themes Hiding Grid Lines Legends Removing the Legend Changing the Position of a Legend Changing the Order of Items in a Legend Reversing the Order of Items in a Legend Changing a Legend Title Changing the Appearance of a Legend Title 235 Table of Contents v
5 Table Removing a Legend Title Changing the Labels in a Legend Changing the Appearance of Legend Labels Using Labels with Multiple Lines of Text Facets Splitting Data into Subplots with Facets Using Facets with Different Axes Changing the Text of Facet Labels Changing the Appearance of Facet Labels and Headers Using Colors in Plots Setting the Colors of Objects Mapping Variables to Colors Using a Different Palette for a Discrete Variable Using a Manually Defined Palette for a Discrete Variable Using a ColorblindFriendly Palette Using a Manually Defined Palette for a Continuous Variable Coloring a Shaded Region Based on Value Miscellaneous Graphs Making a Correlation Matrix Plotting a Function Shading a Subregion Under a Function Curve Creating a Network Graph Using Text Labels in a Network Graph Creating a Heat Map Creating a ThreeDimensional Scatter Plot Adding a Prediction Surface to a ThreeDimensional Plot Saving a ThreeDimensional Plot Animating a ThreeDimensional Plot Creating a Dendrogram a Creating Vector Field Creating a Q Q Plot Creating a Graph of an Empirical Cumulative Distribution Function Creating a Mosaic Plot Creating a Pie Chart Creating a Map Creating a Choropleth Map Making a Map with a Clean Background 317 vi of Contents
6 Creating a Map from a Shapefile Output for Presentation Outputting to PDF Vector Files Outputting to SVG Vector Files Outputting to WMF Vector Files Editing a Vector Output File Outputting to Bitmap (PNG/TIFF) Files Using Fonts in PDF Files Using Fonts in Windows Bitmap or Screen Output Getting Your Data into Shape a Creating Data Frame Getting Information About a Data Structure Adding a Column to a Data Frame Deleting a Column from a Data Frame Renaming Columns in a Data Frame Reordering Columns in a Data Frame Getting a Subset of a Data Frame Changing the Order offactor Levels Changing the Order of Factor Levels Based on Data Values Changing the Names of Factor Levels Removing Unused Levels from a Factor Changing the Names of Items in a Character Vector Recoding a Categorical Variable to Another Categorical Variable Recoding a Continuous Variable to a Categorical Variable Transforming Variables Transforming Variables by Group Summarizing Data by Groups Summarizing Data with Standard Errors and Confidence Intervals Converting Data from Wide to Long Converting Data from Long to Wide Converting a Time Series Object to Times and Values 369 A. Introduction to ggplot2 373 Index 385 Table of Contents vii
Diagrams and Graphs of Statistical Data
Diagrams and Graphs of Statistical Data One of the most effective and interesting alternative way in which a statistical data may be presented is through diagrams and graphs. There are several ways in
More informationTechnology StepbyStep Using StatCrunch
Technology StepbyStep Using StatCrunch Section 1.3 Simple Random Sampling 1. Select Data, highlight Simulate Data, then highlight Discrete Uniform. 2. Fill in the following window with the appropriate
More informationWHICH TYPE OF GRAPH SHOULD YOU CHOOSE?
PRESENTING GRAPHS WHICH TYPE OF GRAPH SHOULD YOU CHOOSE? CHOOSING THE RIGHT TYPE OF GRAPH You will usually choose one of four very common graph types: Line graph Bar graph Pie chart Histograms LINE GRAPHS
More informationFrom The Little SAS Book, Fifth Edition. Full book available for purchase here.
From The Little SAS Book, Fifth Edition. Full book available for purchase here. Acknowledgments ix Introducing SAS Software About This Book xi What s New xiv x Chapter 1 Getting Started Using SAS Software
More informationSTC: Descriptive Statistics in Excel 2013. Running Descriptive and Correlational Analysis in Excel 2013
Running Descriptive and Correlational Analysis in Excel 2013 Tips for coding a survey Use short phrases for your data table headers to keep your worksheet neat, you can always edit the labels in tables
More informationBIRT: A Field Guide to Reporting
BIRT: A Field Guide to Reporting x:.. ^ 11 Diana Peh Alethea Hannemann Nola Hague AAddisonWesley Upper Saddle River, NJ Boston Indianapolis San Francisco New York Toronto Montreal London Munich Parts
More informationVisualizing Data. Contents. 1 Visualizing Data. Anthony Tanbakuchi Department of Mathematics Pima Community College. Introductory Statistics Lectures
Introductory Statistics Lectures Visualizing Data Descriptive Statistics I Department of Mathematics Pima Community College Redistribution of this material is prohibited without written permission of the
More informationGetting started with qplot
Chapter 2 Getting started with qplot 2.1 Introduction In this chapter, you will learn to make a wide variety of plots with your first ggplot2 function, qplot(), short for quick plot. qplot makes it easy
More informationLean Six Sigma Training/Certification Book: Volume 1
Lean Six Sigma Training/Certification Book: Volume 1 Six Sigma Quality: Concepts & Cases Volume I (Statistical Tools in Six Sigma DMAIC process with MINITAB Applications Chapter 1 Introduction to Six Sigma,
More informationBiostatistics: A QUICK GUIDE TO THE USE AND CHOICE OF GRAPHS AND CHARTS
Biostatistics: A QUICK GUIDE TO THE USE AND CHOICE OF GRAPHS AND CHARTS 1. Introduction, and choosing a graph or chart Graphs and charts provide a powerful way of summarising data and presenting them in
More informationSPSS for Exploratory Data Analysis Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav)
Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav) Organize and Display One Quantitative Variable (Descriptive Statistics, Boxplot & Histogram) 1. Move the mouse pointer
More informationPlotting: Customizing the Graph
Plotting: Customizing the Graph Data Plots: General Tips Making a Data Plot Active Within a graph layer, only one data plot can be active. A data plot must be set active before you can use the Data Selector
More informationIris Sample Data Set. Basic Visualization Techniques: Charts, Graphs and Maps. Summary Statistics. Frequency and Mode
Iris Sample Data Set Basic Visualization Techniques: Charts, Graphs and Maps CS598 Information Visualization Spring 2010 Many of the exploratory data techniques are illustrated with the Iris Plant data
More informationPart 2: Data Visualization How to communicate complex ideas with simple, efficient and accurate data graphics
Part 2: Data Visualization How to communicate complex ideas with simple, efficient and accurate data graphics Why visualize data? The human eye is extremely sensitive to differences in: Pattern Colors
More informationEngineering Problem Solving and Excel. EGN 1006 Introduction to Engineering
Engineering Problem Solving and Excel EGN 1006 Introduction to Engineering Mathematical Solution Procedures Commonly Used in Engineering Analysis Data Analysis Techniques (Statistics) Curve Fitting techniques
More informationThere are some general common sense recommendations to follow when presenting
Presentation of Data The presentation of data in the form of tables, graphs and charts is an important part of the process of data analysis and report writing. Although results can be expressed within
More informationSummarizing and Displaying Categorical Data
Summarizing and Displaying Categorical Data Categorical data can be summarized in a frequency distribution which counts the number of cases, or frequency, that fall into each category, or a relative frequency
More informationGestation Period as a function of Lifespan
This document will show a number of tricks that can be done in Minitab to make attractive graphs. We work first with the file X:\SOR\24\M\ANIMALS.MTP. This first picture was obtained through Graph Plot.
More informationAdvanced Microsoft Excel 2010
Advanced Microsoft Excel 2010 Table of Contents THE PASTE SPECIAL FUNCTION... 2 Paste Special Options... 2 Using the Paste Special Function... 3 ORGANIZING DATA... 4 MultipleLevel Sorting... 4 Subtotaling
More informationMicroStrategy Analytics Express User Guide
MicroStrategy Analytics Express User Guide Analyzing Data with MicroStrategy Analytics Express Version: 4.0 Document Number: 09770040 CONTENTS 1. Getting Started with MicroStrategy Analytics Express Introduction...
More informationSECTION 21: OVERVIEW SECTION 22: FREQUENCY DISTRIBUTIONS
SECTION 21: OVERVIEW Chapter 2 Describing, Exploring and Comparing Data 19 In this chapter, we will use the capabilities of Excel to help us look more carefully at sets of data. We can do this by reorganizing
More informationCREATING EXCEL PIVOT TABLES AND PIVOT CHARTS FOR LIBRARY QUESTIONNAIRE RESULTS
CREATING EXCEL PIVOT TABLES AND PIVOT CHARTS FOR LIBRARY QUESTIONNAIRE RESULTS An Excel Pivot Table is an interactive table that summarizes large amounts of data. It allows the user to view and manipulate
More informationIntroduction. One of the most convincing and appealing ways in which statistical results may be presented is through diagrams and graphs.
Introduction One of the most convincing and appealing ways in which statistical results may be presented is through diagrams and graphs. Just one diagram is enough to represent a given data more effectively
More informationDirections for Frequency Tables, Histograms, and Frequency Bar Charts
Directions for Frequency Tables, Histograms, and Frequency Bar Charts Frequency Distribution Quantitative Ungrouped Data Dataset: Frequency_Distributions_GraphsQuantitative.sav 1. Open the dataset containing
More informationUsing Excel for descriptive statistics
FACT SHEET Using Excel for descriptive statistics Introduction Biologists no longer routinely plot graphs by hand or rely on calculators to carry out difficult and tedious statistical calculations. These
More informationChapter 4 Creating Charts and Graphs
Calc Guide Chapter 4 OpenOffice.org Copyright This document is Copyright 2006 by its contributors as listed in the section titled Authors. You can distribute it and/or modify it under the terms of either
More informationData Visualization Handbook
SAP Lumira Data Visualization Handbook www.saplumira.com 1 Table of Content 3 Introduction 20 Ranking 4 Know Your Purpose 23 ParttoWhole 5 Know Your Data 25 Distribution 9 Crafting Your Message 29 Correlation
More informationTutorial 3: Graphics and Exploratory Data Analysis in R Jason Pienaar and Tom Miller
Tutorial 3: Graphics and Exploratory Data Analysis in R Jason Pienaar and Tom Miller Getting to know the data An important first step before performing any kind of statistical analysis is to familiarize
More informationEach function call carries out a single task associated with drawing the graph.
Chapter 3 Graphics with R 3.1 LowLevel Graphics R has extensive facilities for producing graphs. There are both low and highlevel graphics facilities. The lowlevel graphics facilities provide basic
More informationGeoGebra. 10 lessons. Gerrit Stols
GeoGebra in 10 lessons Gerrit Stols Acknowledgements GeoGebra is dynamic mathematics open source (free) software for learning and teaching mathematics in schools. It was developed by Markus Hohenwarter
More informationCONTENTS PREFACE 1 INTRODUCTION 1 2 DATA VISUALIZATION 19
PREFACE xi 1 INTRODUCTION 1 1.1 Overview 1 1.2 Definition 1 1.3 Preparation 2 1.3.1 Overview 2 1.3.2 Accessing Tabular Data 3 1.3.3 Accessing Unstructured Data 3 1.3.4 Understanding the Variables and Observations
More informationIntroduction Course in SPSS  Evening 1
ETH Zürich Seminar für Statistik Introduction Course in SPSS  Evening 1 Seminar für Statistik, ETH Zürich All data used during the course can be downloaded from the following ftp server: ftp://stat.ethz.ch/u/sfs/spsskurs/
More informationKaleidaGraph Quick Start Guide
KaleidaGraph Quick Start Guide This document is a handson guide that walks you through the use of KaleidaGraph. You will probably want to print this guide and then start your exploration of the product.
More informationData Mining: Exploring Data. Lecture Notes for Chapter 3. Slides by Tan, Steinbach, Kumar adapted by Michael Hahsler
Data Mining: Exploring Data Lecture Notes for Chapter 3 Slides by Tan, Steinbach, Kumar adapted by Michael Hahsler Topics Exploratory Data Analysis Summary Statistics Visualization What is data exploration?
More informationConsultation paper Presenting data in graphs, charts and tables science subjects
Consultation paper Presenting data in graphs, charts and tables science subjects This edition: November 2015 (version 1.0) Scottish Qualifications Authority 2015 Contents Presenting data in graphs, charts
More informationQUANTITATIVE METHODS. for Decision Makers. Mik Wisniewski. Fifth Edition. FT Prentice Hall
Fifth Edition QUANTITATIVE METHODS for Decision Makers Mik Wisniewski Senior Research Fellow, Department of Management Science, University of Strathclyde Business School FT Prentice Hall FINANCIAL TIMES
More informationParticipant Guide RP301: Ad Hoc Business Intelligence Reporting
RP301: Ad Hoc Business Intelligence Reporting State of Kansas As of April 28, 2010 Final TABLE OF CONTENTS Course Overview... 4 Course Objectives... 4 Agenda... 4 Lesson 1: Reviewing the Data Warehouse...
More informationMicrosoft Excel 2010 Pivot Tables
Microsoft Excel 2010 Pivot Tables Email: training@health.ufl.edu Web Page: http://training.health.ufl.edu Microsoft Excel 2010: Pivot Tables 1.5 hours Topics include data groupings, pivot tables, pivot
More informationGuidebook to R Graphics Using Microsoft Windows
Brochure More information from http://www.researchandmarkets.com/reports/2162901/ Guidebook to R Graphics Using Microsoft Windows Description: Introduces the graphical capabilities of R to readers new
More informationInformation Literacy Program
Information Literacy Program Excel (2013) Advanced Charts 2015 ANU Library anulib.anu.edu.au/training ilp@anu.edu.au Table of Contents Excel (2013) Advanced Charts Overview of charts... 1 Create a chart...
More informationScatter Plots with Error Bars
Chapter 165 Scatter Plots with Error Bars Introduction The procedure extends the capability of the basic scatter plot by allowing you to plot the variability in Y and X corresponding to each point. Each
More informationBusiness Statistics & Presentation of Data BASIC MATHEMATHICS MATH0101
Business Statistics & Presentation of Data BASIC MATHEMATHICS MATH0101 1 STATISTICS??? Numerical facts eg. the number of people living in a certain town, or the number of cars using a traffic route each
More informationData Visualization. BUS 230: Business and Economic Research and Communication
Data Visualization BUS 230: Business and Economic Research and Communication Data Visualization 1/ 16 Purpose of graphs and charts is to show a picture that can enhance a message, or quickly communicate
More informationSTATGRAPHICS Online. Statistical Analysis and Data Visualization System. Revised 6/21/2012. Copyright 2012 by StatPoint Technologies, Inc.
STATGRAPHICS Online Statistical Analysis and Data Visualization System Revised 6/21/2012 Copyright 2012 by StatPoint Technologies, Inc. All rights reserved. Table of Contents Introduction... 1 Chapter
More informationGraphing in SAS Software
Graphing in SAS Software Prepared by International SAS Training and Consulting Destiny Corporation 100 Great Meadow Rd Suite 601  Wethersfield, CT 061092379 Phone: (860) 7211684  18007TRAINING Fax:
More informationFigure 1. An embedded chart on a worksheet.
8. Excel Charts and Analysis ToolPak Charts, also known as graphs, have been an integral part of spreadsheets since the early days of Lotus 123. Charting features have improved significantly over the
More informationTIBCO Spotfire Business Author Essentials Quick Reference Guide. Table of contents:
Table of contents: Access Data for Analysis Data file types Format assumptions Data from Excel Information links Add multiple data tables Create & Interpret Visualizations Table Pie Chart Cross Table Treemap
More informationThere are six different windows that can be opened when using SPSS. The following will give a description of each of them.
SPSS Basics Tutorial 1: SPSS Windows There are six different windows that can be opened when using SPSS. The following will give a description of each of them. The Data Editor The Data Editor is a spreadsheet
More information3: Graphing Data. Objectives
3: Graphing Data Objectives Create histograms, box plots, stemandleaf plots, pie charts, bar graphs, scatterplots, and line graphs Edit graphs using the Chart Editor Use chart templates SPSS has the
More informationAppendix E: Graphing Data
You will often make scatter diagrams and line graphs to illustrate the data that you collect. Scatter diagrams are often used to show the relationship between two variables. For example, in an absorbance
More informationChapter 2: Frequency Distributions and Graphs
Chapter 2: Frequency Distributions and Graphs Learning Objectives Upon completion of Chapter 2, you will be able to: Organize the data into a table or chart (called a frequency distribution) Construct
More informationExercise 1.12 (Pg. 2223)
Individuals: The objects that are described by a set of data. They may be people, animals, things, etc. (Also referred to as Cases or Records) Variables: The characteristics recorded about each individual.
More informationChapter 2  Graphical Summaries of Data
Chapter 2  Graphical Summaries of Data Data recorded in the sequence in which they are collected and before they are processed or ranked are called raw data. Raw data is often difficult to make sense
More informationAn Introduction to SPSS. Workshop Session conducted by: Dr. Cyndi Garvan GraceAnne Jackman
An Introduction to SPSS Workshop Session conducted by: Dr. Cyndi Garvan GraceAnne Jackman Topics to be Covered Starting and Entering SPSS Main Features of SPSS Entering and Saving Data in SPSS Importing
More informationData exploration with Microsoft Excel: analysing more than one variable
Data exploration with Microsoft Excel: analysing more than one variable Contents 1 Introduction... 1 2 Comparing different groups or different variables... 2 3 Exploring the association between categorical
More information430 Statistics and Financial Mathematics for Business
Prescription: 430 Statistics and Financial Mathematics for Business Elective prescription Level 4 Credit 20 Version 2 Aim Students will be able to summarise, analyse, interpret and present data, make predictions
More informationChapter 6: Constructing and Interpreting Graphic Displays of Behavioral Data
Chapter 6: Constructing and Interpreting Graphic Displays of Behavioral Data Chapter Focus Questions What are the benefits of graphic display and visual analysis of behavioral data? What are the fundamental
More informationSan Jose State University Engineering 10 1
KY San Jose State University Engineering 10 1 Select Insert from the main menu Plotting in Excel Select All Chart Types San Jose State University Engineering 10 2 Definition: A chart that consists of multiple
More informationExcel Guide for Finite Mathematics and Applied Calculus
Excel Guide for Finite Mathematics and Applied Calculus Revathi Narasimhan Kean University A technology guide to accompany Mathematical Applications, 6 th Edition Applied Calculus, 2 nd Edition Calculus:
More informationTopography of an Origin Project and Workspace
Origin Basics Topography of an Origin Project and Workspace When you start Origin, a new project opens displaying a worksheet window in the workspace. The worksheet is one type of window available in Origin.
More informationAppendix 2.1 Tabular and Graphical Methods Using Excel
Appendix 2.1 Tabular and Graphical Methods Using Excel 1 Appendix 2.1 Tabular and Graphical Methods Using Excel The instructions in this section begin by describing the entry of data into an Excel spreadsheet.
More informationPolynomial Neural Network Discovery Client User Guide
Polynomial Neural Network Discovery Client User Guide Version 1.3 Table of contents Table of contents...2 1. Introduction...3 1.1 Overview...3 1.2 PNN algorithm principles...3 1.3 Additional criteria...3
More informationMTH 140 Statistics Videos
MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative
More informationThe Forgotten JMP Visualizations (Plus Some New Views in JMP 9) Sam Gardner, SAS Institute, Lafayette, IN, USA
Paper 1562010 The Forgotten JMP Visualizations (Plus Some New Views in JMP 9) Sam Gardner, SAS Institute, Lafayette, IN, USA Abstract JMP has a rich set of visual displays that can help you see the information
More informationTutorial 3  Map Symbology in ArcGIS
Tutorial 3  Map Symbology in ArcGIS Introduction ArcGIS provides many ways to display and analyze map features. Although not specifically a mapmaking or cartographic program, ArcGIS does feature a wide
More informationStatgraphics Centurion XVII (Version 17)
Statgraphics Centurion XVII (currently in beta test) is a major upgrade to Statpoint's flagship data analysis and visualization product. It contains 32 new statistical procedures and significant upgrades
More informationData representation and analysis in Excel
Page 1 Data representation and analysis in Excel Let s Get Started! This course will teach you how to analyze data and make charts in Excel so that the data may be represented in a visual way that reflects
More informationCHARTS AND GRAPHS INTRODUCTION USING SPSS TO DRAW GRAPHS SPSS GRAPH OPTIONS CAG08
CHARTS AND GRAPHS INTRODUCTION SPSS and Excel each contain a number of options for producing what are sometimes known as business graphics  i.e. statistical charts and diagrams. This handout explores
More informationABSTRACT INTRODUCTION EXERCISE 1: EXPLORING THE USER INTERFACE GRAPH GALLERY
Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng, Isis Pharmaceuticals, Inc., Carlsbad, CA Sanjay Matange, SAS Institute, Cary, NC ABSTRACT Statistical graphics play an
More informationData Exploration Data Visualization
Data Exploration Data Visualization What is data exploration? A preliminary exploration of the data to better understand its characteristics. Key motivations of data exploration include Helping to select
More informationMicrosoft Excel 2010: Create a Chart from Start to Finish. Learn about charts
Microsoft Excel no longer provides the chart wizard. Instead, you can create a basic chart by clicking the chart type that you want on the Insert tab in the Charts group. To create a chart that displays
More informationCreate Charts in Excel
Create Charts in Excel Table of Contents OVERVIEW OF CHARTING... 1 AVAILABLE CHART TYPES... 2 PIE CHARTS... 2 BAR CHARTS... 3 CREATING CHARTS IN EXCEL... 3 CREATE A CHART... 3 HOW TO CHANGE THE LOCATION
More informationData Analysis. Using Excel. Jeffrey L. Rummel. BBA Seminar. Data in Excel. Excel Calculations of Descriptive Statistics. Single Variable Graphs
Using Excel Jeffrey L. Rummel Emory University Goizueta Business School BBA Seminar Jeffrey L. Rummel BBA Seminar 1 / 54 Excel Calculations of Descriptive Statistics Single Variable Graphs Relationships
More informationExcel 2007 Tutorials  Video File Attributes
Get Familiar with Excel 2007 42.40 3.02 The Excel 2007 Environment 4.10 0.19 Office Button 3.10 0.31 Quick Access Toolbar 3.10 0.33 Excel 2007 Ribbon 3.10 0.26 Home Tab 5.10 0.19 Insert Tab 3.10 0.19 Page
More informationGEOGRAPHIC INFORMATION SYSTEMS CERTIFICATION
GEOGRAPHIC INFORMATION SYSTEMS CERTIFICATION GIS Syllabus  Version 1.2 January 2007 Copyright AICACEPIS 2009 1 Version 1 January 2007 GIS Certification Programme 1. Target The GIS certification is aimed
More informationCSU, Fresno  Institutional Research, Assessment and Planning  Dmitri Rogulkin
My presentation is about data visualization. How to use visual graphs and charts in order to explore data, discover meaning and report findings. The goal is to show that visual displays can be very effective
More informationUsing SPSS 20, Handout 3: Producing graphs:
Research Skills 1: Using SPSS 20: Handout 3, Producing graphs: Page 1: Using SPSS 20, Handout 3: Producing graphs: In this handout I'm going to show you how to use SPSS to produce various types of graph.
More informationVisualization Quick Guide
Visualization Quick Guide A best practice guide to help you find the right visualization for your data WHAT IS DOMO? Domo is a new form of business intelligence (BI) unlike anything before an executive
More informationhttp://schoolmaths.com Gerrit Stols
For more info and downloads go to: http://schoolmaths.com Gerrit Stols Acknowledgements GeoGebra is dynamic mathematics open source (free) software for learning and teaching mathematics in schools. It
More informationUCL Depthmap 7: Data Analysis
UCL Depthmap 7: Data Analysis Version 7.12.00c Outline Data analysis in Depthmap Although Depthmap is primarily a graph analysis tool, it does allow you to investigate data that you produce. This tutorial
More informationThe following is an overview of lessons included in the tutorial.
Chapter 2 Tutorial Tutorial Introduction This tutorial is designed to introduce you to some of Surfer's basic features. After you have completed the tutorial, you should be able to begin creating your
More informationChapter 2 Describing Variables
Chapter 2 Describing Variables 2.1 Frequency Distributions for Discrete and Continuous Variables 2.2 Grouped and Cumulative Distributions 2.3 Graphing Frequency Distributions Frequency Distributions Frequency
More informationUniversity of Arkansas Libraries ArcGIS Desktop Tutorial. Section 2: Manipulating Display Parameters in ArcMap. Symbolizing Features and Rasters:
: Manipulating Display Parameters in ArcMap Symbolizing Features and Rasters: Data sets that are added to ArcMap a default symbology. The user can change the default symbology for their features (point,
More informationSS: Spreadsheet software
This is the ability to use a software application designed to record data in rows and columns, perform calculations with numerical data and present using charts and graphs. A. A foundation user can use
More informationGeoGebra Statistics and Probability
GeoGebra Statistics and Probability Project Maths Development Team 2013 www.projectmaths.ie Page 1 of 24 Index Activity Topic Page 1 Introduction GeoGebra Statistics 3 2 To calculate the Sum, Mean, Count,
More informationGEOGRAPHIC INFORMATION SYSTEMS Lecture 05: Data Classification
GEOGRAPHIC INFORMATION SYSTEMS Lecture 05: Data Classification Types of Quantitative Thematic Maps (from last lecture) Demonstration: 48states > Layer Properties dialog box > Symbology tab  used to control
More informationMetroBoston DataCommon Training
MetroBoston DataCommon Training Whether you are a data novice or an expert researcher, the MetroBoston DataCommon can help you get the information you need to learn more about your community, understand
More informationMicrosoft Business Intelligence Visualization Comparisons by Tool
Microsoft Business Intelligence Visualization Comparisons by Tool Version 3: 10/29/2012 Purpose: Purpose of this document is to provide a quick reference of visualization options available in each tool.
More informationCriteria for Evaluating Visual EDA Tools
Criteria for Evaluating Visual EDA Tools Stephen Few, Perceptual Edge Visual Business Intelligence Newsletter April/May/June 2012 We visualize data for various purposes. Specific purposes direct us to
More informationGraphics in R. Biostatistics 615/815
Graphics in R Biostatistics 615/815 Last Lecture Introduction to R Programming Controlling Loops Defining your own functions Today Introduction to Graphics in R Examples of commonly used graphics functions
More informationInstitute of Actuaries of India Subject CT3 Probability and Mathematical Statistics
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2015 Examinations Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in
More informationCreating Multiple Baseline (MB) SingleSubject Design Graphs in Microsoft Excel 2007
1 Creating Multiple Baseline (MB) SingleSubject Design Graphs in Microsoft Excel 2007 2 Step 1: Set up the Variables Multiple Baseline Design (MB) Xaxis 1st AB 2nd AB 3rd AB Use the top cells to Label
More informationData Mining: Exploring Data. Lecture Notes for Chapter 3. Introduction to Data Mining
Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining by Tan, Steinbach, Kumar Tan,Steinbach, Kumar Introduction to Data Mining 8/05/2005 1 What is data exploration? A preliminary
More informationGraphical Representation of Data Chapter 3
(Paste Examples of any graphs, diagrams and maps showing different types of data. For example, relief map, climatic map, distribution of soils maps, population map) REPRESENTATION OF DATA Besides the tabular
More informationRUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY
RUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY I. INTRODUCTION According to the Common Core Standards (2010), Decisions or predictions are often based on data numbers
More informationSAS Visual Analytics 7.1
SAS Visual Analytics 7.1 Getting Started with Exploration and Reporting SAS Documentation The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2014. SAS Visual Analytics
More informationA Guide for a Selection of SPSS Functions
A Guide for a Selection of SPSS Functions IBM SPSS Statistics 19 Compiled by Beth Gaedy, Math Specialist, Viterbo University  2012 Using documents prepared by Drs. Sheldon Lee, Marcus Saegrove, Jennifer
More informationLAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre
More informationTable of Contents TASK 1: DATA ANALYSIS TOOLPAK... 2 TASK 2: HISTOGRAMS... 5 TASK 3: ENTER MIDPOINT FORMULAS... 11
Table of Contents TASK 1: DATA ANALYSIS TOOLPAK... 2 TASK 2: HISTOGRAMS... 5 TASK 3: ENTER MIDPOINT FORMULAS... 11 TASK 4: ADD TOTAL LABEL AND FORMULA FOR FREQUENCY... 12 TASK 5: MODIFICATIONS TO THE HISTOGRAM...
More informationAnalysis of System Performance IN2072 Chapter M Matlab Tutorial
Chair for Network Architectures and Services Prof. Carle Department of Computer Science TU München Analysis of System Performance IN2072 Chapter M Matlab Tutorial Dr. Alexander Klein Prof. Dr.Ing. Georg
More information