oliver2401/accenturedstest

Answers to offline test

AccentureDSTest

R execution

The main code in R is found in full_pipeline_jenkins_job.R, which simulates a jenkins job that would be put into production.

In order to successfully run the code, download the repository by running the following command in a Linux/Mac terminal:

git clone [email protected]:oliver2401/AccentureDSTest.git

inside a folder you have created. Then in Rstudio change your "working directory" to the Test_in_R folder and if you already have the renv package installed just run the following command in the terminal:

renv::restore()

Finally you can execute line by line inside full_pipeline_jenkins_job.R to generate the main findings in the EDA and the results/predictions/model/Performance of the XGBoost model

Python execution

The main Python code is in main.py, which simulates a jenkins job that would be put into production.

In order to successfully run the code, download the repository by running the following command in a Linux/Mac terminal:

git clone [email protected]:oliver2401/AccentureDSTest.git

inside a folder you have created (eg your_folder/AccentureDSTest/TEST_EN_PYTHON). Afterwards, in your IDE of preference, install the necessary packages to execute the code by means of the following command in a terminal:

pipenv install

Which will install all the necessary dependencies to execute the code in main.py and will also generate a virtual environment that will avoid any conflict with the packages you have installed on your machine (For this you must have pipenv installed on your computer. If you don't have it installed just run pip install pipenv).

Finally you can execute line by line inside main.py (using ctrl+enter) to generate the main findings in the EDA and the results/predictions/model/Performance of the XGBoost model