'Data transformations' presentation slideshows

Microarray - Introduction

760 views • 61 slides

Top 25+ DB2 SQL Tuning Tips for Developers

Top 25+ DB2 SQL Tuning Tips for Developers. Presented by Tony Andrews, Themis Inc. tandrews@themisinc.com. Objectives. By the end of this presentation, developers should be able to: Understand what SQL Optimization is Understand Stage 1 versus Stage 2 predicates

803 views • 58 slides

Information Visualization

Information Visualization. UI lab. ? ? ?. Goal. Data. Data transfer. Insight (learning, knowledge extraction). Method. Data. Data transfer. Insight. Map -1 visual ? data insight. Map: data ? visual. Visualization. Visual transfer. (communication bandwidth). Visual Mappings.

582 views • 45 slides

SEA Side Software Engineering Annotations

603 views • 38 slides

Visual Encoding

Visual Encoding. Andrew Chan CPSC 533C January 20, 2003. Overview. What is a visual encoding? How can it amplify our cognition? How do we map data into a visual form? What kinds of information visualization exist?. Visual Encoding Defined.

905 views • 36 slides

Driver Scalability

Driver Scalability. Davis Walker Principal Development Lead Windows Kernel dwalker@microsoft.com. Agenda. Locality for Driver Scalability Case Studies Storport NUMA I/O Load Balancing and NDIS Receive-Side Scaling (RSS) Analysis Tools Complementary Windows Support

481 views • 31 slides

Data statistics and transformation revision Michael J. Watts mike.watts.nz

Data statistics and transformation revision Michael J. Watts http://mike.watts.net.nz. Lecture Outline. Statistical operations on Data Data transformations The objectives of a data transform Linear versus non-linear transformations Transformations for pre-processing of data

459 views • 30 slides

High level view of HDF5 Data structures and library

443 views • 28 slides

Chapter Eighteen

Chapter Eighteen. Data Transformations and Nonparametric Tests of Significance. PowerPoint Presentation created by Dr. Susan R. Burns Morningside College. Assumptions of Inferential Statistical Tests and the F max Test.

391 views • 28 slides

Creating Architectural Descriptions

469 views • 26 slides

John Jastram Virginia Water Science Center

A Comparison of Turbidity-Based and Streamflow-Based Estimates of Suspended-Sediment Concentrations in Three Chesapeake Bay Tributaries. John Jastram Virginia Water Science Center. Background.

341 views • 24 slides

Lab 1 Instruction

Lab 1 Instruction. Data Transformation, T-Tools and Alternatives. Topics. 1. Describing and Displaying Data 2. Data Transformations 3. Tests for Differences between Two Independent Samples / Two Paired Samples. 1.Displaying and Describing Data.

367 views • 24 slides

High-throughput flow cytometry data and how to load, transform and visualise data and gate populations in Bioconducto

High-throughput flow cytometry data and how to load, transform and visualise data and gate populations in Bioconductor (R) . Ulrike Naumann Ulrike.Naumann1@gmail.com. Content. What is flow cytometry? Bioconductor Software packages in Bioconductor for flow cytometry data

363 views • 21 slides

Media Transfer Protocol Implementation Details

Media Transfer Protocol Implementation Details. Donby Mathieu Program Manager DMD Deployment Microsoft Corporation. Blake Manders Program Manager Windows Portable Devices Microsoft Corporation. Session Outline. Session Outline Background What is MTP? MTP Fundamentals

917 views • 18 slides

Empirical Research and Legal Scholarship

Empirical Research and Legal Scholarship. David L. Baumer , NC State University Academy of Legal Scholars in Business, August 2010 Annual Conference. Empirical Research.

327 views • 18 slides

Empirical Research and Legal Scholarship

Empirical Research and Legal Scholarship. David L. Baumer , NC State University Academy of Legal Scholars in Business, August 2010 Annual Conference. Empirical Research.

273 views • 18 slides

Data Processing

Data Processing. Eduardo de Miguel Remote Sensing Laboratory INTA - Spain. Introduction. Data processing = Data calibration + quality control + data transformation + information retrieval Both at user side and provider side. Data Processing. Usual DP tasks at provider side:

459 views • 13 slides

274 views • 13 slides

Service Oriented Architectures (SOA): What Users Need to Know.

Service Oriented Architectures (SOA): What Users Need to Know. OGF 19: January 31, 2007 Charlotte, NC. John Salasin, Ph.D, Visiting Researcher National Institute for Standards and Technology. Purpose(s). Of Workshop

137 views • 13 slides

Chapter 15

Chapter 15. Strategies When Population Distributions are Not Normal: Data Transformations and Rank-Order Tests. Assumptions in the Standard Hypothesis-Testing Procedures. Populations follow a normal curve Populations have equal variances Ceiling and floor effects. Data Transformations.

223 views • 9 slides