This repository will contain exercises compiled by students. Exercise questions are mainly submitted by Data Analysis and Visualization course students @YTU. But this is a public repo, input from anybody is accepted.
Although there are many resources online for learning or practicing data analysis with R, best way to learn and embrace the code is to write code from scratch. In order to help anybody trying to learn dplyr, tidytext, broom and related tools, we are aiming to gather exercise questions. This project is inspired by dplyr-100 repo (which is inspired by numpy-100 repo)
You are expected to submit questions (in order of decreasing preference) which are;
For inspired or copied questions, please provide links at which original question is located.
For the students of Data Analysis and Visualization course, you'll get higher points for original questions and lower (or no) points for copy-pasted questions.
Please go to Issues tab and click New issue button. Then fill in the template.
Please fill in the form to submit an exercise question. Please state the question under Question section. Please try to be as specific as possible when describing the problem. In hint chunk, you can provide a statement (which function to use, or which columns to join, etc.) or you can provide first 1-2 lines of expected result. Please refer to Github markdown table instructions if you need to include a table.
In solution chunk please provide the code to solve the problem. Your solutions should be runnable in anybody's computer. Thus, please don't include file locations in your own computer while importing data. The data should be coming from a R package or from an online source.
After submission of the question, the instructor (or others) can comment on it in Issues page. If the question needs modification you can modify it in Issues submission. Then the instructor will carry the question and its hint to exercises_with_hints.md file and will put a link to solution.