Ohri’s Johari Window

Astronaut Buzz Aldrin during the first human l...
Image via Wikipedia

 

An empty Johari window, with the “Rooms” arranged clockwise, starting with Room 1 at the top left

 

Johari window is a cognitive psychological tool created by Joseph Luft and Harry Ingham in 1955[1] in the United States, used to help people better understand their interpersonal communication and relationships. It is used primarily in self-help groups and corporate settings as a heuristic exercise.

When performing the exercise, subjects are given a list of 56 adjectives and picks five or six that they feel describe their own personality. Peers of the subject are then given the same list, and each picks five or six adjectives that describe the subject. These adjectives are then mapped onto a grid

A Johari window consists of the following 56 adjectives used as possible descriptions of the participant. In alphabetical order they are:

  • able
  • accepting
  • adaptable
  • bold
  • brave
  • calm
  • caring
  • cheerful
  • clever
  • complex
  • confident
  • dependable
  • dignified
  • energetic
  • extroverted
  • friendly
  • giving
  • happy
  • helpful
  • idealistic
  • independent
  • ingenious
  • intelligent
  • introverted
  • kind
  • knowledgeable
  • logical
  • loving
  • mature
  • modest
  • nervous
  • observant
  • organized
  • patient
  • powerful
  • proud
  • quiet
  • reflective
  • relaxed
  • religious
  • responsive
  • searching
  • self-assertive
  • self-conscious
  • sensible
  • sentimental
  • shy
  • silly
  • smart
  • spontaneous
  • sympathetic
  • tense
  • trustworthy
  • warm
  • wise
  • witty

 

 

Continue reading “Ohri’s Johari Window”

Ohri's Johari Window

Astronaut Buzz Aldrin during the first human l...
Image via Wikipedia

 

An empty Johari window, with the “Rooms” arranged clockwise, starting with Room 1 at the top left

 

Johari window is a cognitive psychological tool created by Joseph Luft and Harry Ingham in 1955[1] in the United States, used to help people better understand their interpersonal communication and relationships. It is used primarily in self-help groups and corporate settings as a heuristic exercise.

When performing the exercise, subjects are given a list of 56 adjectives and picks five or six that they feel describe their own personality. Peers of the subject are then given the same list, and each picks five or six adjectives that describe the subject. These adjectives are then mapped onto a grid

A Johari window consists of the following 56 adjectives used as possible descriptions of the participant. In alphabetical order they are:

  • able
  • accepting
  • adaptable
  • bold
  • brave
  • calm
  • caring
  • cheerful
  • clever
  • complex
  • confident
  • dependable
  • dignified
  • energetic
  • extroverted
  • friendly
  • giving
  • happy
  • helpful
  • idealistic
  • independent
  • ingenious
  • intelligent
  • introverted
  • kind
  • knowledgeable
  • logical
  • loving
  • mature
  • modest
  • nervous
  • observant
  • organized
  • patient
  • powerful
  • proud
  • quiet
  • reflective
  • relaxed
  • religious
  • responsive
  • searching
  • self-assertive
  • self-conscious
  • sensible
  • sentimental
  • shy
  • silly
  • smart
  • spontaneous
  • sympathetic
  • tense
  • trustworthy
  • warm
  • wise
  • witty

 

 

Continue reading “Ohri's Johari Window”

Zementis partners with R Analytics Vendor- Revo

Logo for R
Image via Wikipedia

Just got a  PR email from Michael Zeller,CEO , Zementis annoucing Zementis (ADAPA) and Revolution  Analytics just partnered up.

Is this something substantial or just time-sharing http://bi.cbronline.com/news/sas-ceo-says-cep-open-source-and-cloud-bi-have-limited-appeal or a Barney Partnership (http://www.dbms2.com/2008/05/08/database-blades-are-not-what-they-used-to-be/)

Summary- Thats cloud computing scoring of models on EC2 (Zementis) partnering with the actual modeling software in R (Revolution Analytics RevoDeployR)

See previous interviews with both Dr Zeller at https://decisionstats.com/2009/02/03/interview-michael-zeller-ceozementis/ ,https://decisionstats.com/2009/05/07/interview-ron-ramos-zementis/ and https://decisionstats.com/2009/10/05/interview-michael-zellerceo-zementis-on-pmml/)

and Revolution guys at https://decisionstats.com/2010/08/03/q-a-with-david-smith-revolution-analytics/

and https://decisionstats.com/2009/05/29/interview-david-smith-revolution-computing/

strategic partnership with Revolution Analytics, the leading commercial provider of software and support for the popular open source R statistics language. With this partnership, predictive models developed on Revolution R Enterprise are now accessible for real-time scoring through the ADAPA Decisioning Engine by Zementis. 

ADAPA is an extremely fast and scalable predictive platform. Models deployed in ADAPA are automatically available for execution in real-time and batch-mode as Web Services. ADAPA allows Revolution R Enterprise to leverage the Predictive Model Markup Language (PMML) for better decision management. With PMML, models built in R can be used in a wide variety of real-world scenarios without requiring laborious or expensive proprietary processes to convert them into applications capable of running on an execution system.

partnership

“By partnering with Zementis, Revolution Analytics is building an end-to-end solution for moving enterprise-level predictive R models into the execution environment,” said Jeff Erhardt, Revolution Analytics Chief Operation Officer. “With Zementis, we are eliminating the need to take R applications apart and recode, retest and redeploy them in order to obtain desirable results.”

 

Got demo? 

Yes, we do! Revolution Analytics and Zementis have put together a demo which combines the building of models in R with automatic deployment and execution in ADAPA. It uses Revolution Analytics’ RevoDeployR, a new Web Services framework that allows for data analysts working in R to publish R scripts to a server-based installation of Revolution R Enterprise.

Action Items:

  1. Try our INTERACTIVE DEMO
  2. DOWNLOAD the white paper
  3. Try the ADAPA FREE TRIAL

RevoDeployR & ADAPA allow for real-time analysis and predictions from R to be effectively used by existing Excel spreadsheets, BI dashboards and Web-based applications, all in real-time.

RevoADAPAPredictive analytics with RevoDeployR from Revolution Analytics and ADAPA from Zementis put model building and real-time scoring into a league of their own. Seriously!

Amazing Data Visualization- UN Counter Terrorism

Here is an amazing organigram depicting the organization of United Nations Task force of Countering Terrorism

source-

http://www.un.org/terrorism/cttaskforce.shtml

so now you know whom to call at 3 am, in case of airline bombing terrorists or just bad guys in general.

 

Input Data in R using the top 3 R GUI

PC-DOS was an early OS for personal computers ...
Image via Wikipedia

One area where clearly GUI methods are preferable to command line methods in R, is data input. There is no need of learning read.csv or read.table when these options are only two clicks away in any R GUI. For academics/students there is a definite need to easily access

datasets from attached packages just as it is a need for business analysts to access databases with a few clicks than learn or read pages of pdf on RODBC. However some GUI (like Rattle) need data only in data frames, rather than list or arrays-this limits R’s flexibility. These are my views but you can see and compare views of data input in R Commander, Rattle and Deducer.



Pentaho and R: working together

open_source_communism
Image by jagelado via Flickr

I interview Pentaho Co-founder here at https://decisionstats.com/2010/11/14/pentaho/

and recently became aware of the R Pentaho integration.

“R” is a popular open source statistical and analytical language that academics and commercial organizations alike have used for years to get maximum insight out of information using advanced analytic techniques. In this twelve-minute video, David Reinke from Pentaho Certified Partner OpenBI provides an overview of R, as well as a demonstration of integration between R and Pentaho.

http://www.pentaho.com/products/demos/r_project_with_pentaho/

or http://www.pentaho.com/products/demos/showNtell.php

Related-

M.S. in Applied Statistics

http://www.information-management.com/blogs/analytics_business_intelligence_BI_statistics-10019474-1.html

R and BI – Integrating R with Open Source BusinessIntelligence Platforms Pentaho and Jaspersoft

http://www.r-project.org/conferences/useR-2010/abstracts/Reinke+Miller.pdf

Web development with R

http://www.r-project.org/conferences/useR-2010/slides/Ooms.pdf

In-database analytics with R

http://www.r-project.org/conferences/useR-2010/slides/Hess+Chambers_1.pdf

R role in Business Intelligence Software Architecture

http://www.r-project.org/conferences/useR-2010/slides/Colombo+Ronzoni+Fontana.pdf