Initial draft of JOSS paper

paper/paper.bib

@@ -0,0 +1,76 @@
+@article{2011-d3,
+ title = {D3: Data-Driven Documents},
+ author = {Michael Bostock AND Vadim Ogievetsky AND Jeffrey Heer},
+ journal = {IEEE Trans. Visualization \& Comp. Graphics (Proc. InfoVis)},
+ year = {2011},
+ url = {http://idl.cs.washington.edu/papers/d3},
+}
+
+@article{2017-vega-lite,
+ title = {Vega-Lite: A Grammar of Interactive Graphics},
+ author = {Arvind Satyanarayan AND Dominik Moritz AND Kanit Wongsuphasawat AND Jeffrey Heer},
+ journal = {IEEE Trans. Visualization \& Comp. Graphics (Proc. InfoVis)},
+ year = {2017},
+ url = {http://idl.cs.washington.edu/papers/vega-lite},
+}
+
+@InProceedings{ mckinney-proc-scipy-2010,
+  author    = { Wes McKinney },
+  title     = { Data Structures for Statistical Computing in Python },
+  booktitle = { Proceedings of the 9th Python in Science Conference },
+  pages     = { 51 - 56 },
+  year      = { 2010 },
+  editor    = { St\'efan van der Walt and Jarrod Millman }
+}
+
+@Manual{,
+  title = {R: A Language and Environment for Statistical Computing},
+  author = {{R Core Team}},
+  organization = {R Foundation for Statistical Computing},
+  address = {Vienna, Austria},
+  year = {2013},
+  url = {http://www.R-project.org/},
+}
+
+@Article{Hunter:2007,
+  Author    = {Hunter, J. D.},
+  Title     = {Matplotlib: A 2D graphics environment},
+  Journal   = {Computing In Science \& Engineering},
+  Volume    = {9},
+  Number    = {3},
+  Pages     = {90--95},
+  abstract  = {Matplotlib is a 2D graphics package used for Python
+  for application development, interactive scripting, and
+  publication-quality image generation across user
+  interfaces and operating systems.},
+  publisher = {IEEE COMPUTER SOC},
+  doi = {10.1109/MCSE.2007.55},
+  year      = 2007
+}
+
+@Book{,
+  author = {Hadley Wickham},
+  title = {ggplot2: Elegant Graphics for Data Analysis},
+  publisher = {Springer-Verlag New York},
+  year = {2009},
+  isbn = {978-0-387-98140-6},
+  url = {http://ggplot2.org},
+}
+
+@book{Wilkinson:2005:GG:1088896,
+ author = {Wilkinson, Leland},
+ title = {The Grammar of Graphics (Statistics and Computing)},
+ year = {2005},
+ isbn = {0387245448},
+ publisher = {Springer-Verlag New York, Inc.},
+ address = {Secaucus, NJ, USA},
+} 
+
+@article{2016-reactive-vega-architecture,
+ title = {Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization},
+ author = {Arvind Satyanarayan AND Ryan Russell AND Jane Hoffswell AND Jeffrey Heer},
+ journal = {IEEE Trans. Visualization \& Comp. Graphics (Proc. InfoVis)},
+ year = {2016},
+ url = {http://idl.cs.washington.edu/papers/reactive-vega-architecture},
+}
+

paper/paper.md

@@ -0,0 +1,72 @@
+---
+title: 'Altair: a declarative statistical visualization library for Python'
+tags:
+  - Python
+  - visualization
+  - statistics
+  - Jupyter
+authors:
+  - name: Jacob VanderPlas
+    orcid: 0000-0002-9623-3401
+    affiliation: 1
+  - name: Brian E. Granger
+    orcid: 0000-0002-5223-6168
+    affiliation: 2
+  - name: Jeffrey Heer
+    orcid: 0000-0002-6175-1655
+    affiliation: 1
+  - name: Eitan Lees
+    orcid: 0000-0003-0988-6015
+    affiliation: 4
+  - name: Dominik Moritz
+    orcid: 0000-0002-3110-1053
+    affiliation: 1
+  - name: Scott Sievert
+    orcid: 0000-0002-4275-3452
+    affiliation: 3
+  - name: Ben Welsh
+    orcid: 0000-0002-5200-7269
+    affiliation: 5
+  - name: Kanit Wongsuphasawat
+    orcid: 0000-0001-7231-279X
+    affiliation: 1
+affiliations:
+  - name: University of Washington
+    index: 1
+  - name: California Polytechnic State University, San Luis Obispo
+    index: 2
+  - name: University of Wisconsin, Madison
+    index: 3
+  - name: Florida State University
+    index: 4
+  - name: Los Angeles Times Data Desk
+    index: 5
+date: 01 June 2018
+bibliography: paper.bib
+---
+
+# Summary
+
+Altair is a statistical visualization library for Python. Statistical visualization is a constrained subset of data visualization focused on the creation of visualizations
+that are helpful in statistical modeling. The constrained model of statistical visualization is usually expressed in terms of a visualization grammar [] that specifies how input data is transformed and mapped to visual properties (position, color, size, etc.).
+
+Altair is based on the Vega-Lite visualization grammar [], which allows a wide range of statistical
+visualizations to be expressed using a small number of grammar primitives. Vega-Lite is declarative; visualizations are specified using JSON data that follows the Vega-Lite JSON schema.
+As a Python library, Altair provides an API oriented towards scientists and data scientists
+doing exploratory data analysis []. Altair's Python API emits Vega-Lite JSON data, which is then
+rendered in a user-interface such as the Jupyter Notebook, JupyterLab or nteract using the
+Vega-Lite JavaScript library []. Vega-Lite JSON is compiled to a full Vega specification [], which is then parsed and executed using a reactive runtime that internally makes use of D3.js [].
+
+The declarative nature of the Vega-Lite visualization grammar, and its encoding in a formal
+JSON schema, provide Altair with a number of benefits. First, much of the Altair Python code,
+tests, and examples are autogenerated from the Vega-Lite JSON schema, ensuring strict conformance
+with the Vega-Lite specification. Second, the JSON data produced by Altair and consumed by Vega-Lite provides a natural serialization and file format for statistical visualizations. This is leveraged by JupyterLab, which provides built-in rendering of these files. Third, the JSON data 
+provides a clean integration point for non-programming based visualization user-interfaces such as Voyager [].
+
+In addition to static documentation [], Altair includes a set of Jupyter Notebooks with examples
+and an interactive tutorial. These notebooks can be by anyone with only a web-browser through
+binder [].
+
+What example to show?
+
+# References