Inspired on a Netflix documentary called this is pop, it is an exercise to analyse the songs that was on billboard top 100 songs in the last years. For this project was used a csv file with all Billboard Hot 100 from 2000 to 2018, created by "Michael Tauberg" @typhon available on Data World project
The repo is dockerised so you can clone/git pull the repo into any local directory
$ git clone https://github.com/henryhamon/pop-song-analytics.git
Open the terminal in this directory and run:
$ docker-compose up -d
The script in Installer.cls will import everything you place under /src into IRIS.
Open the power bi file locate on ./dsw/pop_songs_analytics_powerbi.pbix You could configure the data source, go to "Get Data" and select InterSystems IRIS.
Follow the setup below:
The simplest dockerfile which starts IRIS and imports Installer.cls and then runs the Installer.setup method, which creates IRISAPP Namespace and imports ObjectScript code from /src folder into it. Use the related docker-compose.yml to easily setup additional parametes like port number and where you map keys and host folders. Use .env/ file to adjust the dockerfile being used in docker-compose.
The MS Power BI file locate on ./dsw/pop_songs_analytics_powerbi.pbix
Settings file to let you immedietly code in VSCode with VSCode ObjectScript plugin)
Config file if you want to debug with VSCode ObjectScript