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README.md

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# A Julia interface to the plot.ly API
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[![Build Status](https://travis-ci.org/snotskie/Plotly.jl.png)](https://travis-ci.org/snotskie/Plotly.jl)
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Forked from [astrieanna/Plotly.jl](https://github.com/astrieanna/Plotly.jl)
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[![Build Status](https://travis-ci.org/plotly/Plotly-Julia.svg)](https://travis-ci.org/plotly/Plotly-Julia)
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README quickly to get started. Alternately, checkout out the pretty Julia docs at http://plot.ly/api
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Success! Check your email to activate account.
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```
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## Signin
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## Signin
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```julia
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julia> Plotly.signin("username","your api key")
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PlotlyAccount("username","your api key")
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```
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Using the Polynomial package, you can plot polynomials directly the same way as math functions.
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## DataFrames and TimeSeries
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```julia
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julia> using DataFrames
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julia> trace2 = Plotly.histogram(3x^3 + 2x^2 - x + 1)
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julia> Plotly.plot([trace1, trace2])
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```
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## DataFrames and TimeSeries
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```julia
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julia> using DataFrames
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julia> trace3 = Plotly.box(wavread("filename.wav"))
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julia> trace4 = Plotly.scatter(wavread("filename.wav"))
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julia> Plotly.plot([trace1, trace2, trace3, trace4])
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```
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```

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