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Data-driven insights into netlabel download patterns.

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Overview

This repository contains a set of four interactive R Shiny dashboards designed to explore and visualize download data from various netlabels hosted on the Internet Archive. Each dashboard provides insights into historical download patterns, artist distributions, and trends specific to a given netlabel. The dashboards also enable users to generate hypothetical compilations based on stratified sampling of the data.

Available Dashboards

Enough Records

Entity

Mahorka

Treetrunk Records

Each dashboard focuses on a specific netlabel and offers insights into the corresponding statistics over time.

Key Features

  • Each dashboard shows artist download data across different historical periods, allowing users to view trends and distributions of album downloads.
  • Compilation Maker generates a hypothetical compilation of artists, ensuring a mix of emerging and established artists based on historical download data.

Dependencies

shinythemes, tidyverse, cowplot, internetarchive

Installation

To run any of the apps directly from GitHub, use the following commands in your R environment:

shiny::runGitHub("NetlabelInsights", "aurora-mm", subdir = "EnoughRecords/")

shiny::runGitHub("NetlabelInsights", "aurora-mm", subdir = "Entity/")

shiny::runGitHub("NetlabelInsights", "aurora-mm", subdir = "Mahorka/")

shiny::runGitHub("NetlabelInsights", "aurora-mm", subdir = "TreetrunkRecords/")

Author

Linn Friberg

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Data-driven insights into netlabel download patterns.

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