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README.md

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+# YAXArrays.jl
 *Yet Another XArray-like Julia Package*
 
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+[![][docs-dev-img]][docs-dev-url][![][ci-img]][ci-url] [![][codecov-img]][codecov-url]
+[![][coveralls-img]][coveralls-url]
 
-| **Documentation**                                                               | **Build Status**                                                                                |
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-| [![][docs-dev-img]][docs-dev-url] | [![][ci-img]][ci-url] [![][codecov-img]][codecov-url] |
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 [docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg
 [docs-dev-url]: https://JuliaDataCubes.github.io/YAXArrays.jl/dev/
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 [coveralls-img]: https://coveralls.io/repos/github/JuliaDataCubes/YAXArrays.jl/badge.svg?branch=master
 [coveralls-url]: https://coveralls.io/github/JuliaDataCubes/YAXArrays.jl?branch=master
 
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-# Summary
+## What is YAXArrays.jl?
 
 YAXArrays.jl is a package to handle gridded data that is larger than memory. It enables the DiskArray.jl package to access the data lazily and provides `map` and `mapCube` to apply user defined functions on arbitrary subsets of the axes. These computations are also easily parallelized either via Distributed or via Threads. 
 

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