StevenDATAUNIRIO

sites de R

Jul 14th, 2019
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  1. Compartilhar código
  2. https://pad.carpentries.org/
  3.  
  4. Web Speech API Demonstration (google)
  5. https://www.google.com/intl/en/chrome/demos/speech.html
  6.  
  7.  
  8. http://www.citizen-statistician.org/2019/07/exploring-gt-with-user-2019-schedule/
  9.  
  10. modelDown generates a website with HTML summaries for predictive models
  11. https://mi2datalab.github.io/modelDown_example/
  12. https://mi2datalab.github.io/modelDown/
  13. https://github.com/MI2DataLab/modelDown/
  14.  
  15. https://cfss.uchicago.edu/talk/
  16.  
  17. SHINY
  18. https://github.com/fredcommo/curveFitter
  19. https://github.com/fredcommo/shiny_progressBar
  20. https://grabear.github.io/awesome-rshiny/#books
  21. http://enhancedatascience.com/2017/07/10/the-packages-you-need-for-your-r-shiny-application/
  22. https://shinyapps-recent.appspot.com/recent.html
  23. https://github.com/zmsgnk/type_decision_tree/tree/master/www/img
  24. https://gallery.shinyapps.io/instanceCalc/
  25. https://github.com/tianyigu/Aircrash_Shiny_Project
  26. https://github.com/datadotworld/foia-app
  27. https://pittsburghpa.shinyapps.io/BurghsEyeViewParcels/?_inputs_&basemap_select=%22OpenStreetMap.Mapnik%22&basemap_select-selectized=%22%22&navbar=%22Parcels%22&neigh_select=%22Central%20Business%20District%22&neigh_select-selectized=%22%22&search=%22%22
  28.  
  29. github word prediction shiny
  30. https://github.com/gblazq/word-prediction-cds
  31. https://schmittjoaopedro.shinyapps.io/WordPredicting/
  32. https://github.com/hiromiyake/word-prediction
  33. https://github.com/nirave/word-prediction
  34. https://github.com/davidmasse/word-predict
  35. https://github.com/nyc9981/word_predictor
  36. https://github.com/Nidhi-M/Word-Prediction-App
  37. https://github.com/onlyphantom/textcomplete
  38. https://github.com/yanfei-wu/text_prediction_app
  39.  
  40. http://gallery.htmlwidgets.org/
  41. http://rgraphgallery.blogspot.com/search/label/density
  42.  
  43. https://awesome-r.com/
  44. https://rviews.rstudio.com/
  45.  
  46. Modelo Shiny
  47. https://rania.shinyapps.io/PoliticalSpeechProject/
  48.  
  49.  
  50. https://www.r-bloggers.com/announcing-opencpu-2-0-building-and-deploying-scalable-r-apps-and-services/
  51. https://www.opencpu.org/
  52.  
  53. TODOS OS DADOS DOS PACOTES R
  54. https://ropenscilabs.github.io/data-packages/
  55.  
  56. http://fulljoin.com.br/blog/2017/03/12/introducao-d3plusr/
  57.  
  58. https://github.com/ramnathv/poirot
  59.  
  60. http://db.rstudio.com/
  61. http://moderndata.plot.ly/connecting-r-to-mysql-mariadb/
  62.  
  63.  
  64. update.packages(ask=FALSE, checkBuilt = TRUE)
  65.  
  66. https://www.kaggle.com/datasets
  67.  
  68.  
  69. # Aula de Histogrma
  70. http://tinlizzie.org/histograms/
  71.  
  72.  
  73.  
  74. https://vincentarelbundock.github.io/Rdatasets/datasets.html
  75.  
  76. devtools::install_github("sfirke/janitor")
  77.  
  78. ![](https://media.giphy.com/media/l0ExwGG6wtCdE7yAo/source.gif)
  79.  
  80. ![](https://media.giphy.com/media/11cF7TYthkLRdu/giphy.gif)
  81. ![](https://media.giphy.com/media/lKKXOCVviOAXS/giphy.gif)
  82.  
  83. #jamovi: a Spreadsheet for R
  84. install.packages("jmv")
  85. library("jmv")
  86.  
  87. # https://cran.rstudio.com/web/packages/personalized/vignettes/usage_of_the_personalized_package.html
  88.  
  89.  
  90.  
  91.  
  92.  
  93.  
  94.  
  95. # FUNCOES DO PYTHON
  96. nao assisti
  97. https://www.youtube.com/watch?v=s3r8_Aug4y8
  98. Assisti
  99. https://www.youtube.com/watch?v=ezfr9d7wd_k
  100. https://www.youtube.com/watch?v=etjJ_4Eqrk8
  101.  
  102. Multinivel
  103. https://data.princeton.edu/pop510
  104.  
  105. Shiny incrivel
  106. https://matt-kumar.shinyapps.io/portfolio
  107.  
  108. Django in digital ocean
  109. https://www.pytorials.com/deploy-django-to-production-using-digitalocean/?fbclid=IwAR0cNOkJ-HD3-B5HQTn5cxlAofKDiTS6gKvSrZATWcxRIUS_6pOAlE1DGAg
  110.  
  111. MACHINE LEARNING
  112. http://www.sthda.com/english/articles/37-model-selection-essentials-in-r/153-penalized-regression-essentials-ridge-lasso-elastic-net/
  113. https://hub.gke.mybinder.org/user/pbiecek-dalex_docs-bd953fgg/notebooks/jupyter-notebooks/DALEX.ipynb#
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