Data Visualisation with Tableau. ExcelR Solutions
|
|
- anirudh musham
- 5 years ago
- Views:
Transcription
1 Data Visualisation with Tableau
2 What is Data Visualisation?
3 What is Data Visualisation? Data visualization is visual representation or creation and study of the visually represented data Communicate information clearly and efficiently using Graphs, Plots, Statistical graphics etc. Numerical data may be encoded using dots, lines, or bars to visually communicate a quantitative message It makes complex data more accessible, understandable
4 Have we experienced visualised data earlier?
5
6
7
8
9
10 Data Visualisation John_Snow_cholera
11 What is Data? How is it generated?
12
13
14
15 Importance of Visualizing Data Visualizations casts data into a format that can be easily grasped and understood much more quickly and easily than the raw number alone. Visualization is that it allows us access to huge amounts of data in ways that would not be otherwise possible. Visualizations allows to access more actionable insights. Visualizations allows data to be presented both graphically and interactively. Visualizations are effective at conveying knowledge. 15
Fannie Mae Connect Release Notification
Fannie Mae Connect Release Notification June 26, 2017 During the weekend of June 24, 2017, Fannie Mae will implement Fannie Mae Connect Version 7.0, which will provide a new, easy-to-use design and layout.
More informationVisualizing 360 Data Points in a Single Display. Stephen Few
Visualizing 360 Data Points in a Single Display Stephen Few This paper explores ways to visualize a dataset that Jorge Camoes posted on the Perceptual Edge Discussion Forum. Jorge s initial visualization
More informationTHE COST VOLUME PROFIT APPROACH TO DECISIONS
C H A P T E R 8 THE COST VOLUME PROFIT APPROACH TO DECISIONS I N T R O D U C T I O N This chapter introduces the cost volume profit (CVP) method, which can assist management in evaluating current and future
More informationGraphical and Tabular Methods in Descriptive Statistics. Descriptive Statistics
Graphical and Tabular Methods in Descriptive Statistics MATH 3342 Section 1.2 Descriptive Statistics n Graphs and Tables n Numerical Summaries Sections 1.3 and 1.4 1 Why graph data? n The amount of data
More informationFinancial Reporting. Workday Bentley
Financial Reporting Workday Finance @ Bentley Agenda Financial Reporting Dashboard Navigation Set-Up Instructions How to Use Dashboard Reports Description of Dashboard Reports Using Dashboard Reports View
More informationExotic Tea Prices. Year
Price, cents per pound UNDERSTANDING HOW TO READ GRAPHS Information is often presented in the form of a graph, a diagram that shows numerical data in a visual form. Graphs enable us to see relationships
More informationSilver. Social Security Visualizer TM. User Guide. moneytree.com Toll free
Silver User Guide Social Security Visualizer TM 1 Introduction Social Security Visualizer TM in Silver Financial Planner evaluates the results of over three-hundred possible claiming combinations unique
More information2 Exploring Univariate Data
2 Exploring Univariate Data A good picture is worth more than a thousand words! Having the data collected we examine them to get a feel for they main messages and any surprising features, before attempting
More informationSession 5: Associations
Session 5: Associations Li (Sherlly) Xie http://www.nemoursresearch.org/open/statclass/february2013/ Session 5 Flow 1. Bivariate data visualization Cross-Tab Stacked bar plots Box plot Scatterplot 2. Correlation
More informationUncertainty Analysis with UNICORN
Uncertainty Analysis with UNICORN D.A.Ababei D.Kurowicka R.M.Cooke D.A.Ababei@ewi.tudelft.nl D.Kurowicka@ewi.tudelft.nl R.M.Cooke@ewi.tudelft.nl Delft Institute for Applied Mathematics Delft University
More informationActuaries and the Art of Communication. Deloitte Consulting LLP
Actuaries and the Art of Communication Deloitte Consulting LLP Why Should Actuaries Want to Be Effective Communicators? Actuaries own in a unique position within any organization as the owners of a distinctive
More informationTelemet Equity Contribution & Attribution
Telemet Equity Contribution & Attribution March 2016 V8.2.4 Telemet Equity Portfolio Analyses True, time weighted, transaction based attribution, Convenient - Reports at each desktop, Immediate - available
More informationIn an earlier question, we constructed a frequency table for a customer satisfaction survey at a bank.
Question 3: What is a bar chart? On a histogram, the variable being examined is a quantitative variable. This means that each data value is a number. If the variable is a qualitative variable, the data
More informationSummarising Data. Summarising Data. Examples of Types of Data. Types of Data
Summarising Data Summarising Data Mark Lunt Arthritis Research UK Epidemiology Unit University of Manchester Today we will consider Different types of data Appropriate ways to summarise these data 17/10/2017
More informationSensitivity Analysis
CH2404 Process Economics Unit III Sensitivity Analysis Dr. M. Subramanian Associate Professor Department of Chemical Engineering Sri Sivasubramaniya Nadar College of Engineering Kalavakkam 603 110, Kanchipuram
More informationQuantitative Literacy: Thinking Between the Lines
Quantitative Literacy: Thinking Between the Lines Crauder, Noell, Evans, Johnson Chapter 2: Analysis of Growth 2013 W. H. Freeman and Company 1 Chapter 2: Analysis of Growth Lesson Plan Measurements of
More informationChapter 5, CVP Study Guide
Chapter 5, CVP Study Guide Chapter theme: Cost-volume-profit (CVP) analysis helps managers understand the interrelationships among cost, volume, and profit by focusing their attention on the interactions
More informationSet 3. Intertemporal approach to the balance of payments
Set 3 Intertemporal approach to the balance of payments In this model we consider an optimal choice of consumer that is related to the present and future consumption. Assuming that our present and future
More informationTESTING STATISTICAL HYPOTHESES
TESTING STATISTICAL HYPOTHESES In order to apply different stochastic models like Black-Scholes, it is necessary to check the two basic assumption: the return rates are normally distributed the return
More informationSection 1.4: Slope-Intercept Form
Section 1.4: Slope-Intercept Form Objective: Give the equation of a line with a known slope and y-intercept. When graphing a line we found one method we could use is to make a table of values. However,
More informationSTAT 157 HW1 Solutions
STAT 157 HW1 Solutions http://www.stat.ucla.edu/~dinov/courses_students.dir/10/spring/stats157.dir/ Problem 1. 1.a: (6 points) Determine the Relative Frequency and the Cumulative Relative Frequency (fill
More informationWalgreens A Prescription for Margin Recovery?
Zacks Investment Research 12/30/2010 Walgreens A Prescription for Margin Recovery? Walgreens is a national retail pharmacy chain and considered the leader in innovative drugstore retailing. Walgreens pioneered
More informationCANADIAN PARENTS FOR FRENCH CPF
I GOVERNANCE POLICIES Table of Contents SECTION A - ENDS, MANDATE END 01 Mission, Mandate END 02 Strategic Priorities END 03 Use of Organization Name, Brand, Visual Identity END 04 Membership Accessibility
More informationChapter IX SWOT ANALYSIS OF THE SAMPLE RESPONDENTS
Chapter IX SWOT ANALYSIS OF THE SAMPLE RESPONDENTS An attempt is made in the present study to examine the strengths, weaknesses, threats and opportunities of sample SHGs so as to analyze the prospects
More informationSection 2.2 One Quantitative Variable: Shape and Center
Section 2.2 One Quantitative Variable: Shape and Center Outline One Quantitative Variable Visualization: dotplot and histogram Shape: symmetric, skewed Measures of center: mean and median Outliers and
More informationA Floodsmart Future Strategic Flood Risk Management in Brisbane Authors: Ellen Davidge (Brisbane City Council), Greg Rogencamp (Sinclair Knight Merz)
53 rd Annual Floodplain Management Authorities Conference A Floodsmart Future Strategic Flood Risk Management in Brisbane Authors: Ellen Davidge (Brisbane City Council), Greg Rogencamp (Sinclair Knight
More informationMeasuring and reporting operational process risk
Measuring and reporting operational process risk Utilizing risk management as the first line of defense Prepared by: Joe Valasquez, Manager, RSM US LLP joe.valasquez@rsmus.com, +1 704 442 3885 George Simms,
More informationWhite Paper. Demystifying Analytics. Proven Analytical Techniques and Best Practices for Insurers
White Paper Demystifying Analytics Proven Analytical Techniques and Best Practices for Insurers Contents Introduction... 1 Data Preparation... 1 Data Warehousing and Analytical Data Tables...1 Binning...1
More informationCiti. Thomson Financial January 22 nd, 2008
Citi Thomson Financial January 22 nd, 2008 0 Thomson Baseline -Overview Thomson Baseline : Thomson Baseline combines equity fundamental data, street research, intraday data, portfolio holdings and proprietary
More informationHow Wealthy Are Europeans?
How Wealthy Are Europeans? Grades: 7, 8, 11, 12 (course specific) Description: Organization of data of to examine measures of spread and measures of central tendency in examination of Gross Domestic Product
More informationSII Balance Sheet Assurance what did we learn? And Meet S2D2!
SII Balance Sheet Assurance what did we learn? And Meet S2D2! Michelle Lister, Andrew James, Barney Wanstall and Hasham Khan, PwC 3 November 2016 Introductions Michelle Lister Phone: 07714 567303 Email:
More informationstarting on 5/1/1953 up until 2/1/2017.
An Actuary s Guide to Financial Applications: Examples with EViews By William Bourgeois An actuary is a business professional who uses statistics to determine and analyze risks for companies. In this guide,
More informationPRICE DISTRIBUTION CASE STUDY
TESTING STATISTICAL HYPOTHESES PRICE DISTRIBUTION CASE STUDY Sorin R. Straja, Ph.D., FRM Montgomery Investment Technology, Inc. 200 Federal Street Camden, NJ 08103 Phone: (610) 688-8111 sorin.straja@fintools.com
More informationBondEdge Next Generation
BondEdge Next Generation Interactive Data s BondEdge Next Generation provides today s fixed income institutional investment professional with the perspective to manage institutional fixed income portfolio
More informationDollars and Sense II: Our Interest in Interest, Managing Savings, and Debt
Dollars and Sense II: Our Interest in Interest, Managing Savings, and Debt Lesson 2 How Can I Maximize Savings While Spending? Instructions for Teachers Overview of Contents Lesson 2 contains five computer
More informationThere are many ways to increase a system s profit potential. Strangely enough, an increased focus on the losses is one of them. Here s how.
Staying afloat BY DAVID STENDAHL There are many ways to increase a system s profit potential. Strangely enough, an increased focus on the losses is one of them. Here s how. An equity curve is a graphical
More informationCalculate financial metrics
9 Calculate financial metrics This chapter contains the last set of analytical tasks. Using input from the previous work undertaken to create a budget (costs) and assess the value of benefits, the next
More informationRisk Management, Qualtity Control & Statistics, part 2. Article by Kaan Etem August 2014
Risk Management, Qualtity Control & Statistics, part 2 Article by Kaan Etem August 2014 Risk Management, Quality Control & Statistics, part 2 BY KAAN ETEM Kaan Etem These statistical techniques, used consistently
More informationOUT OF THE UNKNOWN. Industry-leading supply chain risk management. Will Harman September 2013
OUT OF THE UNKNOWN Industry-leading supply chain risk management Will Harman September 2013 1 Agenda Supply chain risk in the real world Why is supply chain risk management so difficult? An example of
More informationExploring Data and Graphics
Exploring Data and Graphics Rick White Department of Statistics, UBC Graduate Pathways to Success Graduate & Postdoctoral Studies November 13, 2013 Outline Summarizing Data Types of Data Visualizing Data
More informationThe following content is provided under a Creative Commons license. Your support
MITOCW Recitation 6 The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make
More informationSBA Lender Portal Overview. April 2018
SBA Lender Portal Overview April 2018 Table of Contents Overview Logging in to the SBA Lender Portal - https://sbalenderportal.dnb.com Navigating the Portal Downloading Lender Report Downloading Loan Report
More informationDollars and Sense II: Our Interest in Interest, Managing Savings, and Debt
Dollars and Sense II: Our Interest in Interest, Managing Savings, and Debt Lesson 1 Can Compound Interest Work for Me? Instructions for Teachers Overview of Contents This lesson contains three hands-on
More informationRBC Advisor Workstation Research: Graphing Job Aid Use with Clients Interpret and Customize the graph
Investment Growth Graph Get a quick snapshot of the historical performance of a clients funds not available on the Spotlight list or Substitution chart Compare a fund to it s benchmark to explain performance
More informationFlexible Budgets and Overhead Variance Analysis
Flexible Budgets and Overhead Variance Analysis 10 This unit, Flexible Budgets and overhead Variance Analysis, covers the following three lessons: Flexible Budgets and their Preparation Analysis of Overhead
More informationLecture 2 Describing Data
Lecture 2 Describing Data Thais Paiva STA 111 - Summer 2013 Term II July 2, 2013 Lecture Plan 1 Types of data 2 Describing the data with plots 3 Summary statistics for central tendency and spread 4 Histograms
More informationInvest Pro. Knowledge based solutions. Research Update: July 2014 Risk Management for Insurance Assets in a Solvency II world
Invest Pro Knowledge based solutions Research Update: July 2014 Risk Management for Insurance Assets in a Solvency II world FRS Research Series George McCutcheon MSc FIA discusses the Solvency II risk
More informationBachelor Thesis Finance
Bachelor Thesis Finance What is the influence of the FED and ECB announcements in recent years on the eurodollar exchange rate and does the state of the economy affect this influence? Lieke van der Horst
More informationX 410 Business Applications of Calculus
X 410 Business Applications of Calculus PROBLEM SET 1 [100 points] PART I As manager of a particular product line, you have data available for the past 11 sales periods. This data associates your product
More informationDescribing Data: One Quantitative Variable
STAT 250 Dr. Kari Lock Morgan The Big Picture Describing Data: One Quantitative Variable Population Sampling SECTIONS 2.2, 2.3 One quantitative variable (2.2, 2.3) Statistical Inference Sample Descriptive
More informationDATA SUMMARIZATION AND VISUALIZATION
APPENDIX DATA SUMMARIZATION AND VISUALIZATION PART 1 SUMMARIZATION 1: BUILDING BLOCKS OF DATA ANALYSIS 294 PART 2 PART 3 PART 4 VISUALIZATION: GRAPHS AND TABLES FOR SUMMARIZING AND ORGANIZING DATA 296
More information2. Does the document discuss how the short-term factors guided the development of the annual budget?
GFOA Detailed Criteria Location Guide Distinguished Budget Presentation Awards Program Name of Entity: State/Province: Is this your government s first submission to the awards program? Yes No Cite specific
More informationexpenses, not including long-term care insurance. That s up from $220,000 just the prior year.
A New Frontier for Financial Advice: Enabling Financial Advisors To Predict a Client s Future Healthcare Costs The Problem The Increasing Consumer Burden of Health Care Costs Most people today face a ticking
More informationChapter 2 Lecture Notes. I. Summary of the types of cost classifications. Cost classifications for assigning costs to cost objects
Chapter 2 Lecture Notes 1 Chapter theme: This chapter explains how managers need to rely on different cost classifications for different purposes. The four main purposes emphasized in this chapter include
More informationBenchmarking Guide. Compare, rank and benchmark your companies, clients or franchisees...
Benchmarking Guide Compare, rank and benchmark your companies, clients or franchisees... Table of Contents OVERVIEW REPORTING 03 Introduction 21 Benchmarking Reports BENCHMARK SETTINGS 22 Benchmarking
More informationIndustries Financial Services. Survey on Effective Management of South African Retirement Funds* March PwC. *connectedthinking
Industries Financial Services Survey on Effective Management of South African Retirement Funds* March 2007 PwC *connectedthinking PricewaterhouseCoopers has exercised reasonable professional care and diligence
More informationE.D.A. Exploratory Data Analysis E.D.A. Steps for E.D.A. Greg C Elvers, Ph.D.
E.D.A. Greg C Elvers, Ph.D. 1 Exploratory Data Analysis One of the most important steps in analyzing data is to look at the raw data This allows you to: find observations that may be incorrect quickly
More informationChaos Barometer. Chaos Measurement Oscillator for Financial Markets.
Chaos Barometer Chaos Measurement Oscillator for Financial Markets http://www.quant-trade.com/ 6/4/2015 Table of contents 1 Chaos Barometer Defined Functionality 2 2 Chaos Barometer Trend 4 3 Chaos Barometer
More informationCENTRALISING 3D AT CAMECO CORPORATION
........... Central Case study: CENTRALISING 3D AT CAMECO CORPORATION CIGAR LAKE MINE, ATHABASCA BASIN, NORTHERN SASKATCHEWAN, CANADA WHO IS CAMECO CORPORATION? Currently we find Leapfrog Central the most
More informationGetting the Most out of Budget System
Sunday MAY 21, 2017 1:30-2:20PM Getting the Most out of Budget System MODERATOR/ SPEAKER SPEAKERS Rana D. Lacer CFO, Las Vegas Convention and Visitors Authority Charles Collins Budgeting Practice Director,
More informationQuiz 1 Sections 2.1 and 2.2 Name: MA115A Dr. Katiraie Fall 2013
Quiz 1 Sections 2.1 and 2.2 Name: MA115A Dr. Katiraie Fall 2013 1. A describes how the dependent variable depends on the independent variable. A) model B) relation C) function D) percentage 2. When considering
More informationFinancial Conduct Authority 25 The North Colonnade, Canary Wharf London E14 5HS. Submitted to:
4th floor, Ropemaker Place 25 Ropemaker Street London EC2Y 9LY United Kingdom +44 20 7260 2000 Phone +44 20 7260 2001 Fax ihsmarkit.com Financial Conduct Authority 25 The North Colonnade, Canary Wharf
More informationManage your research evaluation and consumption in a MiFID II world
Manage your research evaluation and consumption in a MiFID II world Thomson Reuters Buy-Side Research Solutions With research and execution services becoming unbundled as part of the upcoming MiFID II
More informationDemocracy and Governance in Albania Civil Forum & Local Government and Decentralization in Albania Project. Sunshine Budgets Awards
2 Democracy and Governance in Albania Civil Forum & Local Government and Decentralization in Albania Project Sunshine Budgets Awards 3 This publication is made possible with the support of the United States
More informationAxioma s new Multi-Asset Class (MAC) Risk Monitor highlights recent trends in market and portfolio
Introducing the New Axioma Multi-Asset Class Risk Monitor Christoph Schon, CFA, CIPM Axioma s new Multi-Asset Class (MAC) Risk Monitor highlights recent trends in market and portfolio risk. The report
More informationTo keep our co-ordinates organised in Mathematical Literacy, we will always use a table. R4,50 R9,00 R22,50
SESSION 1: GRAPHS Key Concepts In this session we will focus on summarising what you need to know about: Drawing graphs Interpreting graphs Simultaneous equations Profit, loss and break even X-planation
More informationQuick Reference Guide. Employer Health and Safety Planning Tool Kit
Operating a WorkSafeBC Vehicle Quick Reference Guide Employer Health and Safety Planning Tool Kit Effective date: June 08 Table of Contents Employer Health and Safety Planning Tool Kit...5 Introduction...5
More informationIntroduction to Descriptive Statistics
Introduction to Descriptive Statistics 17.871 Types of Variables ~Nominal (Quantitative) Nominal (Qualitative) categorical Ordinal Interval or ratio Describing data Moment Non-mean based measure Center
More informationPlasma TVs ,000 A LCD TVs ,500 A 21,500 A
Answers Fundamentals Level Skills Module, Paper F5 Performance Management December 2010 Answers 1 (a) (i) Sales price variance and sales volume variance Sales price variance = (actual price standard price)
More information4.1 Exponential Functions. Copyright Cengage Learning. All rights reserved.
4.1 Exponential Functions Copyright Cengage Learning. All rights reserved. Objectives Exponential Functions Graphs of Exponential Functions Compound Interest 2 Exponential Functions Here, we study a new
More informationINDICATORS. The Insync Index
INDICATORS The Insync Index Here's a method to graphically display the signal status for a group of indicators as well as an algorithm for generating a consensus indicator that shows when these indicators
More informationWelcome to a brief discussion of cash flow. Cash flow refers to a summary or a plan of cash income and expenses. You can choose whether it focuses on
Welcome to a brief discussion of cash flow. Cash flow refers to a summary or a plan of cash income and expenses. You can choose whether it focuses on the business only or is a combined personal and business
More informationApplication of Statistical Techniques in Group Insurance
Application of Statistical Techniques in Group Insurance Chit Wai Wong, John Low, Keong Chuah & Jih Ying Tioh AIA Australia This presentation has been prepared for the 2016 Financial Services Forum. The
More informationSteve Keen s Dynamic Model of the economy.
Steve Keen s Dynamic Model of the economy. Introduction This article is a non-mathematical description of the dynamic economic modeling methods developed by Steve Keen. In a number of papers and articles
More informationdisclosure in any proxy or information statements relating to an annual be included in information statements on Schedule 14C as well as proxy
Request for Comment 1. Exchange Act Section 14(i) specifies that the pay-versus-performance disclosure must be provided in any proxy or consent solicitation materials that relate to annual shareholder
More informationStructured Tools to Help Organize One s Thinking When Performing or Reviewing a Reserve Analysis
Structured Tools to Help Organize One s Thinking When Performing or Reviewing a Reserve Analysis Jennifer Cheslawski Balester Deloitte Consulting LLP September 17, 2013 Gerry Kirschner AIG Agenda Learning
More informationDATA HANDLING Five-Number Summary
DATA HANDLING Five-Number Summary The five-number summary consists of the minimum and maximum values, the median, and the upper and lower quartiles. The minimum and the maximum are the smallest and greatest
More informationMath 2311 Bekki George Office Hours: MW 11am to 12:45pm in 639 PGH Online Thursdays 4-5:30pm And by appointment
Math 2311 Bekki George bekki@math.uh.edu Office Hours: MW 11am to 12:45pm in 639 PGH Online Thursdays 4-5:30pm And by appointment Class webpage: http://www.math.uh.edu/~bekki/math2311.html Math 2311 Class
More informationLecture 2: Data Description
Lecture 2: Data Description Graham Elliott December 2008 Graham Elliott () December 2008 1 / 32 The Basic Objective The basic problem facing any analysis of data or presentation of results of some study
More informationChapter 1 Microeconomics of Consumer Theory
Chapter Microeconomics of Consumer Theory The two broad categories of decision-makers in an economy are consumers and firms. Each individual in each of these groups makes its decisions in order to achieve
More information1 3 STOCK MARKET DATA CHARTS
1 3 STOCK MARKET DATA CHARTS OBJECTIVES Interpret a stock bar chart. Create a stock bar chart. Interpret a stock candlestick chart. Create a stock candlestick chart. Slide 1 1 Key Terms stock chart of
More informationComputing Statistics ID1050 Quantitative & Qualitative Reasoning
Computing Statistics ID1050 Quantitative & Qualitative Reasoning Single-variable Statistics We will be considering six statistics of a data set Three measures of the middle Mean, median, and mode Two measures
More informationDiego Mendez-Carbajo Illinois Wesleyan University, Economics Department November 2016
Diego Mendez-Carbajo Illinois Wesleyan University, Economics Department November 2016 Introduction Student Learning Goals Thinking like an economist Siegfried, J., Bartlett, R., Hansen, L., (1991), The
More informationITIL Practitioner Course 06 - Use Metrics & Measurement
ITIL Practitioner Course 06 - Use Metrics & Measurement Course Slide 1 Use Metrics & Measurement CSFs, KPIs & Improvement Analyze CSFs & KPIs in context Assessments Design a Report Slide 2 Learning Objectives
More informationManaging Technical Debt with the SQALE Method
HOW DO YOU RATE? Managing Technical Debt with the SQALE Method by Jean-Louis Letouzey Since its publication in 2010, SQALE 1 has become the industry standard method for managing technical debt. This open
More informationBasel Committee on Banking Supervision
Basel Committee on Banking Supervision Basel III Monitoring Report December 2017 Results of the cumulative quantitative impact study Queries regarding this document should be addressed to the Secretariat
More informationCHAMELEON INDICATORS. A new way to view the markets. Alex Cole 05/10/17
CHAMELEON INDICATORS A new way to view the markets. Alex Cole 05/10/17 THE CHAMELEON TREND AND CHAMELEON OSCILLATOR STUDIES One of the most important benefits of visualization is that it allows us visual
More informationAn application program that can quickly handle calculations. A spreadsheet uses numbers like a word processor uses words.
An application program that can quickly handle calculations A spreadsheet uses numbers like a word processor uses words. WHAT IF? Columns run vertically & are identified by letters A, B, etc. Rows run
More informationModernizing Your Budget Process. Northwest Ellucian User Group July 2018
Modernizing Your Budget Process Northwest Ellucian User Group July 2018 INTRODUCTION Purpose: Discuss current state of budgeting in higher education and introduce Kaufman Hall s approach Take-aways Learn
More informationContents Part I Descriptive Statistics 1 Introduction and Framework Population, Sample, and Observations Variables Quali
Part I Descriptive Statistics 1 Introduction and Framework... 3 1.1 Population, Sample, and Observations... 3 1.2 Variables.... 4 1.2.1 Qualitative and Quantitative Variables.... 5 1.2.2 Discrete and Continuous
More informationUNDERSTANDING ML/DL MODELS USING INTERACTIVE VISUALIZATION TECHNIQUES
UNDERSTANDING ML/DL MODELS USING INTERACTIVE VISUALIZATION TECHNIQUES Chakri Cherukuri Senior Researcher Quantitative Financial Research Group 1 OUTLINE Introduction Applied machine learning in finance
More informationExponential Growth and Decay
Exponential Growth and Decay Identifying Exponential Growth vs Decay A. Exponential Equation: f(x) = Ca x 1. C: COEFFICIENT 2. a: BASE 3. X: EXPONENT B. Exponential Growth 1. When the base is greater than
More informationSensitivity analysis for risk-related decision-making
Sensitivity analysis for risk-related decision-making Eric Marsden What are the key drivers of my modelling results? Sensitivity analysis: intuition X is a sensitive
More informationDMI NinJo development and deployment status. Benny Koza, DMI EGOWS 2006, Budapest, Hungary
DMI NinJo development and deployment status Benny Koza, DMI EGOWS 2006, Budapest, Hungary Overview DMI NinJo development DMI NinJo deployment status EGOWS 2006: DMI NinJo status, Slide 2 Overview DMI NinJo
More informationCompanion Appendix for "Dynamic Adjustment of Fiscal Policy under a Debt Crisis"
Companion Appendix for "Dynamic Adjustment of Fiscal Policy under a Debt Crisis" (not for publication) September 7, 7 Abstract In this Companion Appendix we provide numerical examples to our theoretical
More informationChief Investigator Briefing Session
Presenter please note; This PowerPoint presentation was developed to allow the majority of information that needs to be conveyed be directly read/ presented from the slides. Some additional scripting has
More informationMorningstar Direct SM 3.16 Release Aug 2014
The Morningstar Direct team is pleased to announce the new features and enhancements in version 3.16. In this release, you can now search for Strategic Beta products in addition to taking action on new
More informationWeb Document 4.D: Code of Good Practices on Fiscal Transparency
Web Document 4.D: Code of Good Practices on Fiscal Transparency Declaration on Principles Code of Good Practices on Fiscal Transparency Declaration on Principles Adopted by the Interim Committee, April
More informationPPC Tax Deskbook and Planning Guides. Trusted answers and a proven path to action
PPC Tax Deskbook and Planning Guides Trusted answers and a proven path to action 2 PPC TAX DESKBOOK AND PLANNING GUIDES WHAT IF YOU COULD BRIDGE THE GAP BETWEEN INTERPRETING TAX LAW AND REPORTING REAL-LIFE
More informationMathematics Success Grade 8
Mathematics Success Grade 8 T379 [OBJECTIVE] The student will derive the equation of a line and use this form to identify the slope and y-intercept of an equation. [PREREQUISITE SKILLS] Slope [MATERIALS]
More information