Data Tactics Analytics Brown Bag (November 2013)
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Data Tactics Analytics Brown Bag (November 2013)
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Data Tactics Analytics Brown Bag (November 2013)
- 1. DT Brown Bag 2.0: A Primer in Analytics WELCOME! ! November 2013
- 2. ! ! ! ! Outline •EAT, Guten Appetit, Bon appetit, Buen apetito, Buon appetito! ! ! •What’s new with DT Analytics? •What’s new? •About Shiny: •About us! •Case Studies: •Discontinuities and Shiny (Shrayes R.) •Data Science in Afghanistan (Adam VE.)
- 3. Whats new: Cyber IR&D 21 days (October 1 - 21) ! Primary Goal: Be unique! ! Primary Dataset: 42 jihadi forums ! Plus design specific passive collection efforts: - Honeypots - TOR logs ! Methods: Discontinuities, Network Analysis, and Topic Models. ! New IR&D launches in ~ three weeks. https://portal.data-tactics-corp.com/sites/analytics/Shared%20Documents/cyber.pdf
- 4. Whats new: Open Source! R + Accumulo = RAccumulo ! ! Description: Functions to create and delete Accumulo tables and read/write/scan rows from Accumulo tables License: Apache License (== 2.0) ! library(raccumulo) ! ?raccumulo ! https://github.com/DataTacticsCorp/raccumulo
- 5. Whats new: DS4PM 18 Program Managers, 3 Data Scientist, 1 Marty, 3 hours DS4PM = Data Science for Program Managers ! Goals: ! 1: Define the Analytics Team within Organization Structure 2: Improve poorly developed notions of analytics 3: Outline optimal interactions with Analytics Team 4: Explain common steps for Data Science ! 5: Most importantly, develop a taxonomy to identify analytical questions one could ask of data to aid future business engagements. https://portal.data-tactics-corp.com/sites/analytics/Shared%20Documents/DS4PM.pdf
- 6. Whats new: LUBAP goes wild! 359 attending! http://www.meetup.com/Data-Science-DC/events/146953142/
- 7. Shiny Open Sourced by RStudio in November 2012 ! Not the first to wrap R in the browser but perhaps the easiest for R developers ! Dont need to know HTML, CSS and javascript to get started ! Reactive Programming model ! Web sockets for communication ! !
- 8. server.R # Define server logic required to generate and plot a random # distribution! shinyServer(function(input, output) {! ! # Expression that generates a plot of the distribution.! # renderPlot:! #! # 1) Is "reactive" and therefore should be automatically ! # re-executed when inputs change! # 2) Its output type is a plot ! #! output$distPlot <- renderPlot({! ! # generate an rnorm distribution and plot it! dist <- rnorm(input$obs)! hist(dist)! })! ! })
- 9. ui.R library(shiny)! ! # Define UI for application that plots random distributions ! shinyUI(pageWithSidebar(! ! # Application title! headerPanel("My Shiny App!"),! ! # Sidebar with a slider input for number of observations! sidebarPanel(! sliderInput("obs", ! "Number of observations:", ! min = 0, ! max = 1000, ! value = 500)! ),! ! # Show a plot of the generated distribution! mainPanel(! plotOutput("distPlot")! )! ))
- 11. About us...
- 12. server.R,ui.R = microscope adjustable parameters (knobs): 0 < knobs < small k knobs = lighting, varying objectives, focusing (fine and course) ! knobs fine and course filtering: geography time variable of interest observations of interest promotion of significant (objective) patterns change model parameters
- 13. Whats new: BDE + Shiny https://dell.data-tactics-corp.com/cloudCore/apps/cyber
- 15. Thank you... Questions? Homepage: http://www.data-tactics.com Blog: http://datatactics.blogspot.com Twitter: https://twitter.com/DataTactics Or, me (Rich Heimann) at rheimann@data-tactics-corp.com !15