R Tool for Visual Studio และการท างานร่วมกันเป็นทีม

The First NIDA Business Analytics and Data Sciences Contest/Conferenceวันที่ 1-2 กันยายน 2559 ณ อาคารนวมินทราธิราช สถาบันบัณฑิตพัฒนบริหารศาสตร์

-ท าความรู้จักกับ R Technologies จาก Microsoft ทั้งแบบส่วนบุคคลหรือเป็นทีม ได้อย่างมีประสิทธิภาพ

- เครื่องมือท างานกับ R-การจัดการและท างานเป็นทีมของ R

- R Version Control- จัดการแผนงาน และการติดตามงานบน R

https://businessanalyticsnida.wordpress.comhttps://www.facebook.com/BusinessAnalyticsNIDA/

เฉลิมวงศ์ วิจิตรปิยะกุลศิษย์เก่าสาขาวิทยาการคอมพิวเตอร์ คณะสถิติประยุกต์ NIDAMicrosoft Most Valuable Professional (MVP)

Computer Lab 2 ชั้น 10 อาคารสยามบรมราชกุมารี 1 กันยายน 2559 เวลา 13.30-14.30

What is R?

Language

Platform

Community

Ecosystem

• A programming language for statistics, analytics, and data science

• A data visualization framework

• Provided as Open Source

• Used by 2.5M+ data scientists, statisticians and analysts

• Taught in most university statistics programs

• Active and thriving user groups across the world

• CRAN: 7000+ freely available algorithms, test data and evaluation

• Many of these are applicable to big data if scaled

• New and recent graduates prefer it

20152009200420032000199719951993

Research Project in

New Zealand

Open Source Project

R-Core Group

R-1.0.0 released

R Foundation

First user

New York Times article

R-3.2.0 and R Consortium (founded by Microsoft)

History of R

DatasizeIn-memory

In-memory In-Memory or Disk Based

Speed of AnalysisSingle threaded Multi-threaded

Multi-threaded, parallel

processing 1:N servers

SupportCommunity Community Community + Commercial

Analytic Breadth

& Depth 7500+ innovative analytic

packages7500+ innovative analytic

packages

7500+ innovative packages +

commercial parallel high-speed

functions

LicenceOpen Source

Open Source

Commercial license.

Supported release with

indemnity

CRAN, MRO, MRS ComparisonMicrosoft

R Open

Microsoft

R Server

$?

Challenges posed by open source R

Uncertain

total cost of

ownership

Inadequate

access to

important

business data

Limited

business

agility

Limited

business

value

R from Microsoft brings

Naïve Bayes

Data import – Delimited, Fixed, SAS, SPSS,

OBDC

Variable creation & transformation

Recode variables

Factor variables

Missing value handling

Sort, Merge, Split

Aggregate by category (means, sums)

Min / Max, Mean, Median (approx.)

Quantiles (approx.)

Standard Deviation

Variance

Correlation

Covariance

Sum of Squares (cross product matrix for set

variables)

Pairwise Cross tabs

Risk Ratio & Odds Ratio

Cross-Tabulation of Data (standard tables & long

form)

Marginal Summaries of Cross Tabulations

Chi Square Test

Kendall Rank Correlation

Fisher’s Exact Test

Student’s t-Test

Subsample (observations & variables)

Random Sampling

Data Step Statistical Tests

Sampling

Descriptive Statistics

Sum of Squares (cross product matrix for set

variables)

Multiple Linear Regression

Generalized Linear Models (GLM) exponential

family distributions: binomial, Gaussian, inverse

Gaussian, Poisson, Tweedie. Standard link

functions: cauchit, identity, log, logit, probit. User

defined distributions & link functions.

Covariance & Correlation Matrices

Logistic Regression

Classification & Regression Trees

Predictions/scoring for models

Residuals for all models

Predictive Models K-Means

Decision Trees

Decision Forests

Gradient Boosted Decision Trees

Cluster Analysis

Classification

Simulation

Variable Selection Stepwise Regression

Simulation (e.g. Monte Carlo)

Parallel Random Number Generation

Combination

New in v7.3

PEMA-R API

rxDataStep

rxExec

Coming in v7.4

Outperforming

teams are 54%more

likely to

Developers

26.7%No executive support

56.7%Cultural inhibitors

43.3%Fragmented processes

Collaboration blockers

DevOps was being initiated by

more development teams than IT Ops

teams by about a 40% to 33% margin

Agile methodologieshave adopted

3/4 of teams

BusinessIT Ops

The average hourly

cost of infrastructure

failure is $100,000

per hour

It takes on average

200 minutes to

diagnose and repair

a production issue

A bug caught in production ends

up costing

than if the same bug was found

earlier in the development cycle

100x more

IT decision

makers is still

unfamiliar with

the term DevOps

61 in

40%… of implementations end up getting

reworked because they don’t meet

the users’ original requirements

… of development budgets for software, IT

staff and external professional services will

be consumed by poor requirements41%

IT drives

business

success!

High IT performance

correlates with strong

business performance,

helps boost productivity,

market share and profit.

Responding to

ongoing needs for

efficiency and growth

Always keeping all

systems safe and securedual goals

… for companies that try to

adapt their existing tools for

DevOps practices

80% failure rate …

CIOs70 %

to reduce

IT costs

Would

increase

risk

and accelerate

business agility

of

Code Repository

Backlog

Build + Deploy

Monitor and improve

Automated Testing User Feedback

Visual Studio Team Services

ALM + DevOps practices

New trend of practices for increasing flow of value to customers

Backlog

Requirements

Plan

Develop + test Release

Monitor + learn

Important for enterprises to understand to improve

DevOps extends application lifecycle management (ALM) investments

End-to-end DevOps

Plan + Track1 Monitor + Learn

ReleaseDevelop + Test2

Development Production

4

3

Plan

Manage work

Track progress

Develop + Test 1

Project starts

It starts with an idea - and a plan how

to turn this idea into reality…

Plan + Track

Write Code

Unit Testing

2

Build

Version Control

Build Verification

Release

After the iteration starts,

developers turn great ideas

into features and functionality …

Develop + Test

https://aka.ms/rtvs-current

https://microsoft.github.io/RTVS-docs

https://github.com/microsoft/rtvs/issues

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