Air Quality Visual Analytics with Kibana

Petrova-Antonova, Dessislava; Baychev, Stefan; Pavlova, Irena; Павлов, Георги

doi:10.23919/splitech49282.2020.9243708

“…The organization also benefited from this study's increased efficiency and decision-making [40], particularly in sales and marketing, and it also looked at how well-prepared the field of communication is to deal with the effects of big data. This study established how big data can be used to analyze both conventional and unconventional data to generate revenue [41].…”

Section: Figure 5 Rating Affected By Productmentioning

confidence: 99%

Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods

Henderi,

Irawatia,

Indra

et al. 2023

HighTech. Innov. J.

0

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Big data collection involves enormous amounts of raw data. To boost the sustainability of corporate value and support business intelligence and decision-making systems, in-depth data analysis is necessary. The data storage, analysis, and visualization methods, as well as the discovery of patterns and linkages, all depend on extensive data analysis. This study aims to process datasets to learn things like how ratings impact market sales transactions and how much of an impact factor connected to consumers and items have on ratings. Elasticsearch and Kibana were used for the dataset processing. This study evaluated traits related to the test parameters using a variety of test procedures. The product is scored as a representation of the product types involved in the sales transaction, and the name is assessed as a reflection of the customer. Kibana and Elasticsearch, a full-text search engine, were used in this work to do extensive data analysis on data sets. It is a visualization tool that is employed in a controlled environment to evaluate how ratings impact market exchanges for electronic goods, and it offers suggestions. The study found a substantial relationship between electronic product sales on the Amazon marketplace from 2012 to 2018. It suggested the importance of buyer constituents as users and how different product categories relate to ratings in business transactions. Doi: 10.28991/HIJ-2023-04-03-09 Full Text: PDF

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“…Atta-ur-Rahman et al [30] used Tableau, which is not an open source, to visualize the disease in New York. Petrova-Antonova et al [31] used open-source Kibana to visualize the air quality in Europe. Moreover the last is Arif et al [20], who used open-source Apache Superset to visualize Indonesia's earthquake data; it also has open geoJSON, but the research does not have a region heatmap to cluster and get the value of each data.…”

Section: Comparisonmentioning

confidence: 99%

Implementation of Big Data Information System Using Open-Source Metabase for Civil Registration and Vital Statistics Data Visualization in Surabaya

Budiarti,

Sukaridhoto,

Zuhdi

et al. 2023

JOIV : Int. J. Inform. Visualization

0

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Civil registration involves the mandatory and continuous documentation of important life events of a country's population under local legal requirements. In many countries, these documents are required to access government services such as education, healthcare, social services, formal employment, insurance benefits, and inheritance rights. Indonesia should prioritize building a comprehensive Civil Registration and Vital Statistics (CRVS) using a big data information system to ensure every individual has a legal identity, can access government services, and collect accurate and reliable statistics on vital events through geospatial maps. Surabaya, a city in Indonesia, still needs a comprehensive Civil Registration and Vital Statistics (CRVS) system. We produce many informative visualizations from the query and modeling processes in Metabase. Based on the PIECES framework, this application's importance level is 4.56 or 91.25%, meaning the application is important, and the satisfaction level is 4.29 or 85.76%, meaning the application is satisfied for the respondents. This research provides a brief overview of how Metabase works and how it can be used to generate visualizations of job-type data. It demonstrates the ease with which visualizations can be changed and customized. It had a good affordability point, making its implementation easier and more beneficial. It also emphasizes the importance of having a powerful tool like Metabase for data analysis and decision-making, especially for the dispendukcapil as a civil registration agency.

show abstract

“…Atta-ur-Rahman et al [30] used Tableau, which is not an open source, to visualize the disease in New York. Petrova-Antonova et al [31] used open-source Kibana to visualize the air quality in Europe. Moreover the last is Arif et al [20], who used open-source Apache Superset to visualize Indonesia's earthquake data; it also has open geoJSON, but the research does not have a region heatmap to cluster and get the value of each data.…”

Section: Comparisonmentioning

confidence: 99%

Implementation of Big Data Information System Using Open-Source Metabase for Civil Registration and Vital Statistics Data Visualization in Surabaya

Budiarti,

Sukaridhoto,

Zuhdi

et al. 2023

JOIV : Int. J. Inform. Visualization

0

View full text Add to dashboard Cite

Civil registration involves the mandatory and continuous documentation of important life events of a country's population under local legal requirements. In many countries, these documents are required to access government services such as education, healthcare, social services, formal employment, insurance benefits, and inheritance rights. Indonesia should prioritize building a comprehensive Civil Registration and Vital Statistics (CRVS) using a big data information system to ensure every individual has a legal identity, can access government services, and collect accurate and reliable statistics on vital events through geospatial maps. Surabaya, a city in Indonesia, still needs a comprehensive Civil Registration and Vital Statistics (CRVS) system. We produce many informative visualizations from the query and modeling processes in Metabase. Based on the PIECES framework, this application's importance level is 4.56 or 91.25%, meaning the application is important, and the satisfaction level is 4.29 or 85.76%, meaning the application is satisfied for the respondents. This research provides a brief overview of how Metabase works and how it can be used to generate visualizations of job-type data. It demonstrates the ease with which visualizations can be changed and customized. It had a good affordability point, making its implementation easier and more beneficial. It also emphasizes the importance of having a powerful tool like Metabase for data analysis and decision-making, especially for the dispendukcapil as a civil registration agency.

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Air Quality Visual Analytics with Kibana

Cited by 4 publications

References 12 publications

Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods

Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods

Implementation of Big Data Information System Using Open-Source Metabase for Civil Registration and Vital Statistics Data Visualization in Surabaya

Implementation of Big Data Information System Using Open-Source Metabase for Civil Registration and Vital Statistics Data Visualization in Surabaya

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