_:nef06b1660c754517810df7c97990d818xb0
<http://schema.org/abstract>
"In recent years we have seen an increase in the volume of data. Through the internet the information is infinite and the main thing now is that there is not only structured data. This makes it difficult to analyze them for the purposes that an organization or a business needs each time.\r\nFor this purpose, a variety of programming languages, applications and programs have been developed for their better and more detailed analysis. Even so, owning one is still beyond the reach of the average person.\r\nThe purpose of this dissertation is to highlight the Docker platform as the means for the proper operation of data analysis and visualization applications using appropriate commands to make these applications compatible with any operating system.\r\nWe focus on ways to use data visualization tools through Docker and specifically on four important tools for data scientists: Tableau, Dunbas BI, Zoho Reports and JupyterR\r\nWith this code through the Docker platform data analysts have developed a multitude of commands and the important thing is that everyone can contribute to make it even more effective and efficient since it is free and open source."@en
<https://apothesis.eap.gr/archive/item/169792?lang=el>