'Bubble chart' diaporamas de présentation

Making data visualisations like a pro: D3.js

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Portsmouth Naval Shipyard Lean Manufacturing Implementation Presented to:

Portsmouth Naval Shipyard. Portsmouth Naval Shipyard Lean Manufacturing Implementation Presented to: Advanced Production, Quality and Manufacturing Course. Captain P. M. Delpero 30 April 2002. Overview. Introduction/Background Shipyard Overview Work Workforce Management

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Infographics

Infographics. Overview on What is important Traditional graphs Charts for specific usages Common misleading factors Read also the two books. 1. What is represented? Is something misleading? Is something useless? Is something missing? Can other information be added ?.

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Excel Workshop Excel Fundamentals

Excel Workshop Excel Fundamentals. http://users.business.uconn.edu/snair/excel.html. SURESH NAIR, Ph.D. Professor and Robert Cizik Chair in Manufacturing and Technology Management, Operations and Info Management School of Business University of Connecticut, Storrs, USA. Preliminaries.

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Accessible Analytics: Complex Charts, Large Datasets, and Node Diagrams

Accessible Analytics: Complex Charts, Large Datasets, and Node Diagrams. Brian Cragun, David Dracoules, Susann Keohane, Andi Snow-Weaver IBM Accessibility Architecture Board Complex Visualizations Working Group. Introduction. Graphical visualizations communicate information simultaneously

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Regional Data Snapshot

Regional Data Snapshot. Industry Cluster Analysis SET Session 1. Southeast AR Economic Development District, Arkansas. 01. 02. 03. 04. Overview. Table of Contents. Industry and Occupation. Industry Cluster Analysis. Occupations. 01 overview. SAEDD, AR. SAEDD, Arkansas. Overview.

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Regional Data Snapshot

Regional Data Snapshot. Industry Cluster Analysis SET Session 1. Southern Indiana Development Commission, Indiana. 01. 02. 03. 04. Overview. Table of Contents. Industry and Occupation. Industry Cluster Analysis. Occupations. 01 overview. Southern Indiana Development Commission, IN.

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Regional Data Snapshot

Regional Data Snapshot. Industry Cluster Analysis SET Session 1. Mid Central Rural Corridor Region, New Mexico. 01. 02. 03. 04. Overview. Table of Contents. Industry and Occupation. Industry Cluster Analysis. Occupations. 01 overview. Mid Central Rural Corridor, NM.

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Regional Data Snapshot

Regional Data Snapshot. Industry Cluster Analysis SET Session 1. North Central IN RPC, Indiana. 01. 02. 03. 04. Overview. Table of Contents. Industry and Occupation. Industry Cluster Analysis. Occupations. 01 overview. North Central IN RPC, IN. North Central IN RPC. Overview.

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Regional Data Snapshot

Regional Data Snapshot. Industry Cluster Analysis SET Session 1. Ozark Foothills, Missouri. 01. 02. 03. 04. Overview. Table of Contents. Industry and Occupation. Industry Cluster Analysis. Occupations. 01 overview. Ozark Foothills, Missouri. Ozark Foothills Region, MO. Overview.

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Analyzing Data with Advanced Visualizations

Analyzing Data with Advanced Visualizations. rajesh.ramaswamy@marlabs.com. A picture speaks a thousand words!. Why is visualization so important? - A quick demo. It is equally important to do the correct visualization. Visualizing Unstructured Data. Visualizing Analytics.

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Excel chapter 4

Excel chapter 4. Nitin Chowdary Are Nitin.are@mail.wvu.edu. charts. Basics. Chart is a visual representation of numerical data. Data point is a numerical value that describes a single value on a chart. Data series is a group of related data points.

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Data Science and Visualization

Data Science and Visualization. 2014 Summer Internship - Tetherless World Constellation. Sumithra Gnanasekar Lakshmi Chenicheri. Objective. Visualize Minimum Information about a Marker Gene Sequence ( MiMarks ) compliant datasets A dark data exercise. *. MiMarks.

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International data dissemination

International data dissemination. o r: what do international organizations do with your data?. Presentation by Sabine Warschburger, UNSD. Data collection at UNSD. Paper questionnaires Excel sheets CSV files XML questionnaire SDMX. Data dissemination at UNSD.

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Bubble Plot

Bubble Plot Dr. Andy Mauromoustakos Bubble Plot Objective: To Create a Bubble Chart Launching the Platform Selecting the Roles Trail, Split & Combine Option To Save the Bubble Chart as a Flash File (*.swf) Bubble Plot: Launching the Platform Open ARsoils.jmp

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Quantum Sensing Trends Project

Quantum Sensing Trends Project. Andrew Wharton December 8, 2012. Objective. Visualization for the USAF to detect trends for Quantum Sensing research Easy, efficient tool Provide more than one perspective. Data. One excel spreadsheet Poor labeling Formatting issues One BibTex file

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Make an outine for Habit 1.

Make an outine for Habit 1. You can do the traditional outline or a bubble chart. Traditional Outline. Topic One Supporting detail Supporting detail Topic Two Supporting detail Supporting detail Topic Three Supporting detail Supporting detail Topic Four Supporting detail

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IPIAC

IPIAC. Multidimensional data processing. Multivariate data. Multivariate data consist of several variables for each observation. Actually, serious data is always multivariate. Some variables are usually not collected to simplify collecting and processing.

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