Repository Structure

A Challenges repository consists of a simple directory structure used by the DataCamp build process to generate the views your students will be able to interact with.

Depending on the technology (R, Python, SQL) you have chosen when creating the challenge the data structure can slightly differ.

|- datasets/
|- img/
|- challenges/
|  |- my_first_challenge.md
|  |- my_second_challenge.md
|- .gitignore
|- README.md
|- pool.yml
|- requirements.r
|- requirements.sh

An overview of what each of this does is:

File/Folder Description
datasets/* Folder containing all datasets you may want to use during the challenge creation process (eg. csv / excel files)
img/* Folder containing the challenge image should as shield_image.png
challenges/* Contains all challenges you have created.
.gitignore Files and folders which should be ignored by Git
README.md A readme file with a list of resources more explanation to get started
pool.yml A yaml file with challenges metadata
requirements.r Additional R packages you may want to use in your challenges
requirements.sh Additional Python / SQL packages you may want to use in your challenges

Let's go over some of the most important files and folders in more detail.

pool.yml

This file contains the general information about your challenge being:

Field Explanation
title Title of the challenge
programming_language Programming language of the challenge (r, python, sql)
from A special key reserved and used only by DataCamp

requirements.r

This file holds all the R dependencies or packages you may want to use through your project. Example:

devtools::install_version("ggplot2", "2.2.1")
devtools::install_version("data.table", "1.10.0")

This file is only present when the technology of a challenge is R

requirements.sh

This file holds all the Python or SQL dependencies or packages you may want to use through your project. Example:

pip3 install numpy==1.12.0
pip3 install pandas==0.19.2
pip3 install dccpu==0.3.7

requirements.sh file is sometimes present in repositories for R challenges when there is a need to install system-level dependencies for certain R packages (e.g. libcurl)

Next: Learn about supported challenges

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