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Data Mining & Analytics with R : Running R Scripts and Data Mining Techniques - Day 2

Warning: These are my messy study notes, much better legible notes can be found here  http://onepager.togaware.com 1. A Tour Thru Rattle Transform Tab ( by no means near to the full power of underlying R) Data Mining Tabs - Cluster, Associate Model Log Tab  - Capture the corresponding R command Working from Left to Right on Tabs  Remember to Click Execute Button 'Save' -> Projects save the current state, all models etc. 'Open' Projects can be restored at a later time You can even load it back to R  2. First R Program Load rattle and ggplot2 library(rattle)  # Provides the weather dataset  library(rattle)  # Provides the ggplot() function ggplot -> Grammar of Graphics : Just like english grammar or grammar of a computer language. A result of Hadley's Phd . Look him up to learn more details. Then produce a plot using ggplot() # handsondatascience.com - tips on elegantly writing repeated code ds ...

Data Mining & Analytics with R : Introduction to R, RStudio and Rattle - Day 1

This is a blog post on a workshop I attended : a three-day hands-on Workshop on Data Mining & Analytics with R at Technopark, Trivandrum on 5th May 2015 Taught by :  Graham Williams - Senior Director and Data Scientist , Australia Graham.Williams@togaware.com http://datamining.togaware.com Read About  - Literate Programming  - Literate Data Mining Philosophy We are not writing program for the computer, it is written to share with other people. Everything that we write should be written for others. We should control the computer not vice versa.  Introducing Data Science Data Mining  Started in around 1989. Lego house - model - > not real but we get an idea. Data mining is all about building such models. Analytics Descriptive Analytics - what happens , suggestions in Amazon Diagnostic Analytics - explain why the above happened Correlation and Causation - Find up people who ended up in hospital aft...