Data Visualization and Communication with Jupyter Notebook

Jupyter Notebook

Jupyter Notebook is a freely available open-source web-based application that is used in a browser or on platforms available on desktop post-installation process by the application of software such as Python's package or Anaconda manager or pip. It allows the users and developers for creating reports with the data and visualizations from code available live. The system offers support to approximately around 50 programming languages. Jupyter Notebook is also known as IPython Notebook formerly was developed for and programmed by the application of Python and permits the developers to assign the application of the broad range of packages available in Python for Visualizations and analytics. The tool has a broad range of community as a developer who uses multi other languages as well.

The Jupyter Notebook is known as an open-source application for web-based applications that permits to make and share reports and documents that includes equations, live code, narrative text and visualizations. The applications of Jupyter Notebook mainly includes transformation, cleaning of data, simulation numerically, visualization of data, data modelling statistically, machine learning etc. The installation of the Jupyter Notebook in Windows includes basic steps. This application allows the users to make and share documents further with its main contents. The Notebook document includes the application of Jupyter at first that includes both rich text elements and computer code. The contents found in Jupyter Notebook application has coding such as in python and in rich elements, it has equations, paragraph, links, figures, etc.

By default, Jupyter notebook’s kernel found in Python allows you to write several Python codes in a code cell provided. When the statement is found to run the output is viewed just below the code where it is written. The output presented in form of text, image, HTML, plots, tables etc.

Project Jupyter

Project Jupiter is a community and project that is developed to create and develop open standards, open-source software applications and interacting services for computing across many different types of programming languages. This project uses three main coding languages that are Python, R and Julia and it also has a homepage to Galileo's notebooks recordings that has information on the discovery of Jupiter's moons. Project Jupiter has also supported and developed several computing products for interactions such as JupyterHub, JupyterLab and Jupyter notebook.

Jupiter Notebook consists of a web-based interacting computation domain and environment for making jupyter notebook reliable and useful for the documents. The notebook terms are used and refer to several entities that majorly has Jupyter web application contents, Jupyter python web server or the document format depends on the context. A basic Jupiter notebook document is also known as a JSON report that follows a well-versioned schema that contains an ordered list of output/input cells that contain text, code, mathematics, media, plots etc.

The important feature includes the following parts:

Serial no.	Type	Description
	Query editor	1. It includes all the recent trends and standards that consist of snippets and auto-complete. 2. Exchanging and sharing of queries and results to both parties in support of an open and data-driven process in the organization.
	Visualization	1. Once the dataset is created, the selection of visualization tools is carried out for the query. 2. The user may export or embed the query anywhere as per his or her wish.
	Dashboard	1. It is the combination of various visualizations into a specific topic that is being targeted to a dashboard.
	Alerts	1. The notification is given by several online platforms such as email, hip chat, slack etc. when the query’s results are being out and need attention.

Basic programming languages involved

SQL (Structured Query Language)	R-Programming	Python
SQL is a domain-specific language that is applicable in designing and programming for the management of data that is being held in a database known as a relational database management system or it is also managed for the processing activities in a stream in a relational data stream management system. This application is specifically used in the handling of structures data that is termed as data acquiring relations among the variables and entities. SQL also offers many advantages amongst which the two most important are for writing APIs such as VSAM and ISAM.	R is a program based language and is freely available software developed by Robert Gentleman and Ross Ihaka in the year 1993. R processed is an extensive form of graphical and statistical processes. This language also includes linear regression, algorithms for machine learning, time series and statistical inference to name them. Many of the R libraries are written in R language despite heavy computational based tasks and activities such as the application of C, C++ and other codes are preferred. Data analysis with R in different series of steps that includes transforming, programming, modelling, discovering and communicating the results.	Python is broadly applied for basic and general purposes and is a high-level programming language. Python permits programming in Procedural and Object-Oriented Paradigms. Python programs are on a general basis are smaller and short when compared with other programming languages such as Java. Python is run on a system that works as an interpreter which means the code can be further executed after it is formed or written. This part means that prototyping can be easier and quicker to access. Python is defined to be treated in a process-based approach such as functional and object-oriented way.

SQL (Structured Query Language)

R-Programming

Python

SQL is a domain-specific language that is applicable in designing and programming for the management of data that is being held in a database known as a relational database management system or it is also managed for the processing activities in a stream in a relational data stream management system.

This application is specifically used in the handling of structures data that is termed as data acquiring relations among the variables and entities.

SQL also offers many advantages amongst which the two most important are for writing APIs such as VSAM and ISAM.

R is a program based language and is freely available software developed by Robert Gentleman and Ross Ihaka in the year 1993.

R processed is an extensive form of graphical and statistical processes. This language also includes linear regression, algorithms for machine learning, time series and statistical inference to name them.

Many of the R libraries are written in R language despite heavy computational based tasks and activities such as the application of C, C++ and other codes are preferred.

Data analysis with R in different series of steps that includes transforming, programming, modelling, discovering and communicating the results.

Python is broadly applied for basic and general purposes and is a high-level programming language.

Python permits programming in Procedural and Object-Oriented Paradigms. Python programs are on a general basis are smaller and short when compared with other programming languages such as Java.

Python is run on a system that works as an interpreter which means the code can be further executed after it is formed or written.

This part means that prototyping can be easier and quicker to access.

Python is defined to be treated in a process-based approach such as functional and object-oriented way.

Conclusion

The Jupyter Notebook is known as an open-source application for web-based applications that permits to make and share reports and documents that includes equations, live code, narrative text and visualizations. The applications of jupyter Notebook mainly includes transformation, cleaning of data, simulation numerically, visualization of data, data modelling statistically, machine learning etc. The installation of the Jupyter Notebook in Windows includes basic steps. This application allows the users to make and share documents further with its main contents. The Notebook document includes the application of Jupyter at first that includes both rich text elements and computer code. The contents found in Jupyter Notebook application has coding such as in python and in rich elements, it has equations, paragraph, links, figures, etc.