Building a web app on top of RChristian Mladenov, CEO

Why?

Adjusts parameters

Generates report

Reads report

Runs code

Requests changes

This happens quite often

Ad-hoc request

Develops analytics

code

Decision maker

Data scientist

Runs code Generates report

Adjusts parameters

Reads report Requests changes

Solution

Self-service analytics web apps

Decision makers get better insights, faster

Data scientists can focus on new knowledge

How?

Statistical languages

R solutions

RStudio Shiny

Custom web app (Python, Ruby, etc) Remote R: OpenCPU, rServe, rApache, httpuv

Integrated R: rJava, rpy2, RinRuby

Native (local or remote R) RGtk2, tcltk, Excel+VBA

Intuitics

ComparisonRStudio Shiny Intuitics

R framework + server. Server and interface built with code locally

Web platform. Stateless R functions, interface built with drag & drop

Cloud + on-premise Cloud + on-premise. REST API

Same development environment Code needs to be imported

Highly customizable Not only R (import/export)

Active community Long-running computations

Save and share app snapshots

Export, dashboards, recurring reports

RMarkdown integration

Demonstration

Background

FMCG company

Forecasting script in R with parameters: Country & product (build a model based on newest data)

2-month forecast: price, marketing budget, # of pages in catalog, competition strength

Monthly forecast cycle: many what-if scenario runs

Aim: turn the script into an interactive app

Steps

1. Split R script into functions to allow interactivity

2. Create interface that links functions

3. Share a snapshot with a colleague

Thank you! !!

Christian Mladenov christian@intuitics.com

!www.intuitics.com

@intuitics facebook.com/intuitics