R Tool for Visual Studio และการทำงานร่วมกันเป็นทีม โดย เฉลิมวงศ์ วิจิตรปิยะกุล MVP, Microsoft Thailand THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE

1. R Tool for Visual Studio และการทางานร่วมกันเป็นทีม
The First NIDA Business Analytics and Data Sciences Contest/Conference
วันที่ 1-2 กันยายน 2559 ณ อาคารนวมินทราธิราช สถาบันบัณฑิตพัฒนบริหารศาสตร์
-ทาความรู้จักกับ R Technologies จาก Microsoft ทั้ง
แบบส่วนบุคคลหรือเป็นทีม ได้อย่างมีประสิทธิภาพ
- เครื่องมือทางานกับ R
-การจัดการและทางานเป็นทีมของ R
- R Version Control
- จัดการแผนงาน และการติดตามงานบน R
https://businessanalyticsnida.wordpress.com
https://www.facebook.com/BusinessAnalyticsNIDA/
เฉลิมวงศ์ วิจิตรปิยะกุล
ศิษย์เก่าสาขาวิทยาการคอมพิวเตอร์ คณะสถิติประยุกต์ NIDA
Microsoft Most Valuable Professional (MVP)
Computer Lab 2 ชั้น 10 อาคารสยามบรมราชกุมารี
1 กันยายน 2559 เวลา 13.30-14.30

3. 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

4. 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

6. Datasize
In-memory
In-memory In-Memory or Disk Based
Speed of Analysis
Single threaded Multi-threaded
Multi-threaded, parallel
processing 1:N servers
Support
Community Community Community + Commercial
Analytic Breadth
& Depth 7500+ innovative analytic
packages
7500+ innovative analytic
packages
7500+ innovative packages +
commercial parallel high-speed
functions
Licence
Open Source
Open Source
Commercial license.
Supported release with
indemnity
CRAN, MRO, MRS Comparison
Microsoft
R Open
Microsoft
R Server

7. $?
Challenges posed by open source R
Uncertain
total cost of
ownership
Inadequate
access to
important
business data
Limited
business
agility
Limited
business
value

8. R from Microsoft brings

9.  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

13. 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 requirements
41%
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 secure
dual goals
… for companies that try to
adapt their existing tools for
DevOps practices
80% failure rate …
CIOs
70 %
to reduce
IT costs
Would
increase
risk
and accelerate
business agility
of

15. Code Repository
Backlog
Build + Deploy
Monitor and improve
Automated Testing User Feedback
Visual Studio Team Services

16. 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

17. End-to-end DevOps
Plan + Track
1 Monitor + Learn
ReleaseDevelop + Test
2
Development Production
4
3

18. 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

19. 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

20. https://aka.ms/rtvs-current
https://microsoft.github.io/RTVS-docs
https://github.com/microsoft/rtvs/issues
Microsoft Virtual Academy