Data-drone/R-quick-exercises

Some quick R code for common scenarios

R-quick-exercises

Some quick R code for common scenarios

Exercises

Data Analytics Example with data munging / visualisation and modelling data_analysis subfolder

• setup.R Setup common environment and often used packages

• data_exploration.Rmd Exploration of the kaggle housing data dataset based on Python Kernel https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python

• feat_eng_model.R Feature engineering and modelling script based on: https://www.kaggle.com/serigne/stacked-regressions-top-4-on-leaderboard

Shiny Application

• Basic one based on: Based on: https://github.com/rstudio/shiny-examples/tree/master/086-bus-dashboard
  • TODO - Still needs refactoring to show updated routes properly but will suffice for now

Spark Integration spark subfolder

• sparklyr_experiment,R Sparklyr and mllib driven model development based on: https://www.eddjberry.com/post/2018-12-12-sparklyr-feature-selection/

• sparklyr_xgb.R XGBoost4j with Rstudio sparkxgb (Spark 2.4 only currently)

• Possible Content to add: https://spark.rstudio.com/mlib/#example-workflow https://datascience-enthusiast.com/Hadoop/SparkR_on_HDP_AWS_EC2_part2.html

• TODO