R functions to help with creating air quality summaries from monitoring data.
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rich-iannone のリポジトリ
Kinetic and photochemical data for atmospheric chemistry
(11 stars) (0 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Graph and network visualization using tabular data in R
(1,735 stars) (248 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
A book providing documentation and examples for the R DiagrammeR package
(6 stars) (4 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
A collection of DiagrammeR examples
(30 stars) (8 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
A utility package for providing SVG export to DiagrammeR graph diagrams
(30 stars) (2 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
R dataset containing information on marine vessels
(7 stars) (2 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
R dataset containing National Pollutant Release Inventory (NPRI) records for Canada, 1993–2012
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An integrated system for dispersion modelling with CALPUFF
(69 stars) (23 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
(Experiments with) visualizations, created using R and D3.js.
(9 stars) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)
An R package for trend analysis of time-series data
(22 stars) (4 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
US EPA air monitoring data for 1990–2015
(6 stars) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)
R dataset containing information on UNESCO World Heritage Sites
(10 stars) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)
Tools to acquire and work with upper air data
(14 stars) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)
A curated list of awesome Jupyter projects, libraries and resources
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An opinionated list of awesome Python frameworks, libraries, software and resources.
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The goal of bakeoff is to enable data wrangling, analysis, and visualizations with R using data from “The Great British Bake Off”.
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R dataset package containing information on many, many chemical compounds
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Curated list of Python resources for data science.
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rich-iannone/edrHTML
Companion package for the book Exploring Data with R
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