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This repository has been archived by the owner on Apr 6, 2022. It is now read-only.
In this lesson we repeat lesson #6, however this time we use R instead of Python. In short the lesson will teach you how to load data into R, how to manipulate the data and how to plot it.
We will use a powerful set of packages called tidyverse which includes all the basic packages you need for quick data loading, tidying, wrangling and plotting. In this lesson we will not discuss the basics of R language (but that will not stop us from using it).
Check out the preparation guidelines below
Time and Place
Where: Room D1.113, Science Park 904 When: Tuesday, November 7th, 2017 at 17:00 PM
Required Preparation
Prior knowledge
No prior knowledge required, but it never hurts to glance over this.
Data
The 'train.csv' (training set) from github or kaggle
Description
In this lesson we repeat lesson #6, however this time we use R instead of Python. In short the lesson will teach you how to load data into R, how to manipulate the data and how to plot it.
We will use a powerful set of packages called tidyverse which includes all the basic packages you need for quick data loading, tidying, wrangling and plotting. In this lesson we will not discuss the basics of R language (but that will not stop us from using it).
Check out the preparation guidelines below
Time and Place
Where: Room D1.113, Science Park 904
When: Tuesday, November 7th, 2017 at 17:00 PM
Required Preparation
Prior knowledge
No prior knowledge required, but it never hurts to glance over this.
Data
Software Dependencies
We will use R and RStudio.
If possible, install tidyverse before the session:
Materials
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