Introduction to Data Analytics with MATLAB
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1 Introduction to Data Analytics with MATLAB David Willingham 2016 The MathWorks, Inc. 1
2 WITH SOFTWARE (and smart people) ANYTHING IS POSSIBLE 2
3 Business and Transactional Data Repositories Databases (SQL) NoSQL Hadoop File I/O Text Spreadsheet XML Web Sources RESTful JSON HTML Mapping Financial datafeeds Analytics that increasingly require both business and engineering data Engineering, Scientific, and Field Data File I/O Text Spreadsheet XML CDF/HDF Image Audio Video Geospatial Communication Protocols CAN (Controller Area Network) DDS (Data Distribution Service) OPC (OLE for Process Control) XCP (explicit Control Protocol) Real-Time Sources Sensors GPS Instrumentation Cameras Communication systems Machines (embedded systems) 3
4 Data is the sword of the 21st century, those who wield it the samurai. Big data how to create it, manipulate it, and put it to good use. If you want to work at Google, make sure you can use MATLAB. Google s Former SVP - Jonathan Rosenberg 4
5 2017 Gartner Magic Quadrant Data Science 5
6 Why MATLAB? MATLAB Analytics work with business and engineering data 1 DATA Engineering, Scientific, and Field Business and Transactional Data Analytics MATLAB lets engineers do Data Science themselves 2 MATLAB Analytics run anywhere 3 Embedded Systems Developed with Model-Based Design Enterprise IT Systems 6
7 MATLAB for Data Analytics Customer Examples Online optimization of building energy use Real-time, cloud-based system Combines analytics with optimization for predictive control of single-building HVAC Energy consumption reduced 15-25% Online engine health monitoring Real-time analytics integrated with enterprise service systems Predict sub-system performance (oil, fuel, liftoff, mechanical health, controls) Improve aircraft availability and reduce maintenance costs Cloud-based wheeze analysis Medical device to monitor and manage asthma and COPD Leverages analytics in cloud and embedded system 7
8 8
9 Railway Systems Automotive Aeronautics Retail Finance Off-highway vehicles Prognostics Fleet Analytics Condition Monitoring Retail Analytics Operational Analytics Internet Industrial Automation Process Analytics Risk Analysis Oil & Gas Health Monitoring Clean Energy Asset Analytics Mfg Process Analytics Healthcare Analytics Medical Devices Supply Chain Healthcare Management Logistics 9
10 Data Analytics Workflow Access Files Explore & Discover Data Analysis & Modeling Share Reporting and Documentation Software Algorithm Development Outputs for Design Code & Applications Hardware Application Development Deployment Automate 10
11 Frontier Advisors Develops Web-Based Platform for Portfolio Analytics Challenge Provide clients with an industry-first web platform for portfolio modeling and analytics Solution Use MATLAB to develop and test analytics modules, and use MATLAB Compiler SDK to deploy them into a production.net environment Results Quantitative development decoupled from interface development Stable, responsive system deployed Rapid delivery of new features enabled MATLAB and MATLAB Compiler SDK enabled us to rapidly deliver a sophisticated portfolio analytics web application with confidence that it will return accurate results extremely quickly, ensuring a highly usable and stable platform for our clients. Lee Eriera Frontier Advisors Link to user story 11
12 Today s Objectives Introduce you to data analysis with MATLAB Show how you can overcome common data analysis challenges with MATLAB Demonstrate multiple ways of sharing your analysis and results with others 12
13 Common Data Analysis Challenges using Excel Complex calculations Messy Data Speed of Execution Automation Batch Processing Report Generation Deployment 13
14 Demo: Solar Radiation Estimation Introduction to Data Analysis with MATLAB Goal: Estimate daily mean global solar radiation given low cost and easily obtained measurements Approach: Process historical measurements Develop predictive model Document analysis in a report Apply analysis on multiple files 14
15 Modeling Global Solar Radiation R s = a (1 + bh)(1 e c Tn ) Solar Ratio (R s ) = Global solar radiation Extraterrestrial solar radiation extraterrestrial radiation Daily Temperature Difference ( T) = T DailyMax T DailyMin H is Relative Humidity a,b,c,n are the model coefficients total global radiation 15
16 Demo Summary Solar Radiation Estimation Products Used MATLAB Curve Fitting Toolbox Access Files Explore & Discover Data Analysis & Modeling Share Reporting and Documentation Software Algorithm Development Outputs for Design Code & Applications Hardware Application Development Deployment Automate 16
17 Machine Learning Machine learning uses data and produces a program to perform a task Standard Approach Machine Learning Approach Computer Program Machine Learning Hand Written Program If X_acc > 0.5 then SITTING If Y_acc < 4 and Z_acc > 5 then STANDING Formula or Equation Y activity = β 1 X acc + β 2 Y acc + β 3 Z acc + model: Inputs Outputs model = < Machine Learning >(sensor_data, activity) Algorithm 17
18 Demo: Machine Learning Using Mobile Phone Data Machine Learning Data: 3-axial Accelerometer data 3-axial Gyroscope data 18
19 Sharing Results from MATLAB Automatically generate reports Create and package applications Deploy to other environments 19
20 MATLAB Programs Can be Shared With Anyone Share With Other MATLAB Users Share With People Who do Not Have MATLAB 20
21 Write Your Programs Once Then Share To Different Targets MATLAB MATLAB Compiler MATLAB Compiler SDK Apps Files Standalone Application Excel Add-in Hadoop C/C ++ Java.NET Python MATLAB Production Server Custom Toolbox With MATLAB Users With People Who Do Not Have MATLAB 21
22 3 rd Party Excel Add Ins for Forecasting Challenges: Manual Automation Batch Processing Tuning (Optimizing) Speed of Execution Report Generation 22
23 2016 The MathWorks, Inc. 23
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