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https://github.com/virtualstaticvoid/heroku-buildpack-r#heroku-16
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web: R -f /app/apps/"$DASH_APP_NAME"/app.R
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## dashr-oil-gas-ternary
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`dashr-oil-gas-ternary` creates a dashboard for mineral composition evaluations from natural gas wells.
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By pairing a geographic map of well locations with ternary diagram, this app helps geologists to find out results of gas wells with relationship to formations or rock types.
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This is a demo of Dash interactive Python framework developed by [Plotly](https//plot.ly/).
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![Animated](assets/Screencast.gif)
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## Screenshots
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![initial](assets/Screenshot.png)
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## Requirements
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We suggest you to create a separate virtual environment running Python 3 for this app, and install all of the required dependencies there. Run in Terminal/Command Prompt:
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```
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git clone https://github.com/plotly/dash-sample-apps.git
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Rscript app.R
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```
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## How to use the app
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Run this app locally by:
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```
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RScript app.R
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```
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Open http://127.0.0.1:8050/ in your browser.
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Select a subset of data points from the well map, ternary map or bar graph to visualize cross-filtering to other plots.
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Selection can be done by clicking on individual data points, or by using the lasso tool to capture multiple data points or bars. Hold the SHIFT
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key while clicking and dragging for multi-region selection.
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## Data source
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Historical shale gas production data for selected Devonian Ohio Shale wells http://www.uky.edu/KGS/emsweb/kyogfaq/kyogfaq10.html

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