Visualization of Real World Enterprise Data using Python Django Framework

In the meantime, startup companies are rising more and more. Companies want to track their prominence and their advancement. Basically, the whole data need to be found and stored in database. They need to check their company's turnout-catastrophe ratio and their expansion. The company obliged t...

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Veröffentlicht in:IOP conference series. Materials Science and Engineering Jg. 1042; H. 1; S. 12019 - 12024
Hauptverfasser: Vamsi, K. Manikanta, Lokesh, P., Reddy, K. Neha, Swetha, P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.01.2021
Schlagworte:
Data analysis
Django
Matplotlib
Modules
Scientific visualization
Visualization
Websites
ISSN:1757-8981, 1757-899X
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Abstract In the meantime, startup companies are rising more and more. Companies want to track their prominence and their advancement. Basically, the whole data need to be found and stored in database. They need to check their company's turnout-catastrophe ratio and their expansion. The company obliged to know how compact it is, with different companies. Since the data is in huge amount, estimating the data is almost difficult. Soon these terms, physically reckoning may become annoyed. Considering the plot, we have a proposal termed visualization. Visualization is the graphical depiction of data in the pattern of graphs, tabulations, charts by which we could know about company widening. Using data visualization, we could form an opinion on company's stand/rate. So to evolve and to develop web pages, the automations we used are html, css for the data analysis, python modules are used. Few of them are pandas, seaborn, matplotlib, plotly. Implementing the data visualization using IDE's like jupyter, Sublime Text makes the effort transparent. But integrating web pages with python modules will be the challenging load. So to carry out this, we use DJANGO Framework to visualize the data. DJANGO affords frontend, back-end and database This Data visualization is intended to evolve web pages and scrutinize the data.
AbstractList In the meantime, startup companies are rising more and more. Companies want to track their prominence and their advancement. Basically, the whole data need to be found and stored in database. They need to check their company’s turnout-catastrophe ratio and their expansion. The company obliged to know how compact it is, with different companies. Since the data is in huge amount, estimating the data is almost difficult. Soon these terms, physically reckoning may become annoyed. Considering the plot, we have a proposal termed visualization. Visualization is the graphical depiction of data in the pattern of graphs, tabulations, charts by which we could know about company widening. Using data visualization, we could form an opinion on company’s stand/rate. So to evolve and to develop web pages, the automations we used are html, css for the data analysis, python modules are used. Few of them are pandas, seaborn, matplotlib, plotly. Implementing the data visualization using IDE’s like jupyter, Sublime Text makes the effort transparent. But integrating web pages with python modules will be the challenging load. So to carry out this, we use DJANGO Framework to visualize the data. DJANGO affords frontend, back-end and database This Data visualization is intended to evolve web pages and scrutinize the data.
Author Swetha, P.
Lokesh, P.
Reddy, K. Neha
Vamsi, K. Manikanta
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  organization: Department of Computer science and Engineering, Vardhaman College of Engineering and Technology
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  givenname: P.
  surname: Lokesh
  fullname: Lokesh, P.
  email: pallepati17cse@vardhaman.org
  organization: Department of Computer science and Engineering, Vardhaman College of Engineering and Technology
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  givenname: K. Neha
  surname: Reddy
  fullname: Reddy, K. Neha
  email: nehareddy17cse@vardhaman.org
  organization: Department of Computer science and Engineering, Vardhaman College of Engineering and Technology
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  email: swethabharath27@gmail.com
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Cites_doi 10.1007/978-1-4842-4109-7
10.1016/j.envsoft.2016.07.013
10.1002/wics.89
10.1109/ACCESS.2018.2815030
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Scientific visualization
Visualization
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Title Visualization of Real World Enterprise Data using Python Django Framework
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