1. Kaggle Kernels Page

    There are a lot of good analysis(all explained) in this page, like

    Exploratory Analysis - Instacart

    Wiki Traffic Forecast Exploration - WTF EDA

    Detailed Exploratory Data Analysis Using R

  2. DataCamp Course - Writing Function with R

    This course given by Hackley Wickham the author of ggplot2, dplyr, tidyr which are the packeges we will use mostly. After this course, i think i can more easily adept these packeges and maybe i understand these packages better.

  3. How to set up your own R blog with Github pages and Jekyll Bootstrap

    I want to start my own R blog with Github in future.

  4. R-bloggers

    They are news and articles about data science and R in this site. it is good to follow R development, news and interesting analysis which have been recently.

    For instance, some articles about EDA.

    Oakland Real Estate – Full EDA

    Exploratory Data Analysis Using R (Part-I)Oakland Real Estate – Full EDA

  5. DataCamp

    Thera are a lot of R lessons to support BDA-503 class. For example;

    Data Visualization with ggplot2 (Part 1)

    Joining Data in R with dplyr

    Reporting with R Markdown

    Exploratory Data Analysis

    Exploratory Data Analysis in R: Case Study