Talk entitled: Collaborative, streaming, 3D, and interactive matplotlib, ggplot2, and MATLAB plots in an IPython Notebook with Plotly by Chris Parmer & Carole Griffiths

The idea behind plot.ly was to bring web standards to graphing and data analysis.

Reason for being: Experiencing teams making graphs in various tools and trying to share it them. This could literally be a case of working with a dedicated graphing tool and then creating and emailing screen shots, as their colleagues all used different tools.

The team wrote a wrapper for iPython to translate graphs into a plot.ly based graphs.

Graphing news feed- https://plot.ly/feed/#sob

## Overview

- creates shareable d3.js graphs links that are interactive
- includes plotting streaming data
- limited by the browser – 50,000 points before browser slows – can get to 200,000 points in some cases using optimisation of rendering overlapping points
- like github for graphs
- aimed at small to medium data at present
- currently around 20 developers – doubling ever few months over the last 6 months
- 18 month old project
- can have it installed locally on a private network – paid for model. Free tool, can create a limited number of private graphs, say 20.

## Wrappers/APIs

Various wrappers exists – https://plot.ly/api/

- ggplotly for R
- matplotlib
- MATLAB
- plot.ly – has a spreadsheet like interface online too.
- any graph can be edited via code or through online GUI

## User base

- data journalists
- engineers
- etc

Various output formats, such as svg, png, available as RESTful calla.

Open source library – cached request model – to handle connectivity breaks.

Can pull graphs back into Python. Also can extract JSON output of the data used in the graph.

No limit on the data storage at this stage. 1/2 million rows have been uploaded say

## Technology

- d3.js for the graphs
- Uses map.js – for adding notations/formulas to graphs
- Plot.ly is a layer written on top of d3.js

JavaScript makes this graphing tool available to more people, as the technology is already in their browser.

## Roadmap

- Better data API
- Adding datasets directly to plot.ly – several graphs referencing a single dataset.
- Symbolic formulas, to plot transformations say in Physics
- To keep a trace of the transformations, all the steps to transformation.
- Improve 3D maps