Record Label & Publishing Industry In Europe by Kaggle | Finance and Economics

About this Dataset

Record Label & Publishing Industry In Europe

Record Label & Publishing Industry in Europe

Economic Performance and Forecasted Growth

About this dataset

This dataset reveals the economic performance of the European music industry. Drawing on Annual detailed enterprise statistics for services (NACE Rev. 2 H-N and S95) from Eurostat, this data provides an essential overview of the performance of record labels, publishers, and other players in the industry from a financial standpoint. This comprehensive set of metrics can help you gain insight into how each sector is faring in comparison to others and compare them to historical trends and future forecasts. Analyzing these data points can help users determine viable business opportunities within Europe's robust music market

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How to use the dataset

This dataset provides a comprehensive overview of the performance of the major labels, publishers, and other industry players in Europe. To get started with this dataset, you should familiarize yourself with its columns:

dataset_code - The code for the dataset

time - The year of the data

geo - The geographic region of the data

value - The value of the data

unit - The unit of measurement used for this data

obs_status -The status of observation (such as imputed or forecasted)

method – The method used to collect this data

var_name –The name or label associated with this variable

count –The total number records associated with this label or publisher

Description – A brief description about the given label or publisher RelatedItem – Any related items associated to what is being measured.

To interpret your results and draw meaningful conclusions from your analysis, it is important that you understand each variable’s meaning and context within Europe’s music industry. Additionally, different reporting years are available make sure you are selecting relevant information. With all that said, let’s look at some questions we can answer using our dataset:

Question 1: What has been the economic performance trend over time for record labels in Europe?

Question 2: How does economic performance vary by geographic region among music publishers in Europe?

Once formulating those types of questions start exploring various aggregates (mean average), tabular formats (look at how things vary), visualizations such as charts and graphs as well as summary statistics like min/max range etc., which will help you if further analyze datasets. This is just an example but achieving desired insights may take more investigation into considered fields such us climatic decision making influence presented trends etc.. This concludes our introduction on how to use Records Label & Publishing Industry In Europe Kaggle Dataset!

Research Ideas

Using this dataset to create a predictive model for the projected economic future of the European music industry. This model can be used to inform future business decisions, as well as furthering our understanding of industry trends in Europe.

Analyzing the data on revenue per country and type of label or publisher, to optimize marketing and promotional strategizing across Europe for record labels and music publishers.

Using geographic information from this dataset to create interactive visualizations that clearly illustrate regional differences in revenue production for record labels and/or music publishers in different countries or regions within Europe

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: trrp.csv

Column name	Description
dataset_code	The code for the dataset. (String)
time	The time period for the data. (String)
geo	The geographic region for the data. (String)
value	The numerical value of the data. (Number)
unit	The unit of measurement for the data. (String)
obs_status	The status of the observation. (String)
method	The method used to collect the data. (String)

File: codebook_trrp.csv

Column name	Description
dataset_code	The code for the dataset. (String)
var_name	The name of the variable. (String)
count	The number of records associated with the label or publisher. (Integer)
Description	A description of the data collected. (String)
RelatedItem	Any items linked with certain single observations. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Trrp

@kaggle.thedevastator_record_label_publishing_industry_in_europe.trrp

8.47 KB
570 rows
7 columns


CREATE TABLE trrp (
  "dataset_code" VARCHAR,
  "time" TIMESTAMP,
  "geo" VARCHAR,
  "value" DOUBLE,
  "unit" VARCHAR,
  "obs_status" VARCHAR,
  "method" VARCHAR
);