科学研究可视化的现代手段

First International Conference "Open Science and Innovation in Ukraine 2022" Pub Date : 1900-01-01 DOI:10.35668/978-966-479-129-5-4-6

O. Kuzmenko

{"title":"科学研究可视化的现代手段","authors":"O. Kuzmenko","doi":"10.35668/978-966-479-129-5-4-6","DOIUrl":null,"url":null,"abstract":"The article proves that modern tools for data analysis and visualization can reduce resources for the study of scientific information. Software tools for Big Data processing and visualization (Google Data Studio, Power BI, ChartBlocks, Tableau, Plotly, Infogram, DataDeck) were analyzed, which will simplify and improve the processes of processing and visualization of scientific research results.","PeriodicalId":408270,"journal":{"name":"First International Conference \"Open Science and Innovation in Ukraine 2022\"","volume":"30 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modern means of visualization of scientific research\",\"authors\":\"O. Kuzmenko\",\"doi\":\"10.35668/978-966-479-129-5-4-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article proves that modern tools for data analysis and visualization can reduce resources for the study of scientific information. Software tools for Big Data processing and visualization (Google Data Studio, Power BI, ChartBlocks, Tableau, Plotly, Infogram, DataDeck) were analyzed, which will simplify and improve the processes of processing and visualization of scientific research results.\",\"PeriodicalId\":408270,\"journal\":{\"name\":\"First International Conference \\\"Open Science and Innovation in Ukraine 2022\\\"\",\"volume\":\"30 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Conference \\\"Open Science and Innovation in Ukraine 2022\\\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35668/978-966-479-129-5-4-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Conference \"Open Science and Innovation in Ukraine 2022\"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35668/978-966-479-129-5-4-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文证明，现代数据分析和可视化工具可以减少科学信息研究的资源。分析了大数据处理和可视化软件工具(Google Data Studio、Power BI、ChartBlocks、Tableau、Plotly、Infogram、DataDeck)，这些工具将简化和改进科研成果的处理和可视化过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Modern means of visualization of scientific research

The article proves that modern tools for data analysis and visualization can reduce resources for the study of scientific information. Software tools for Big Data processing and visualization (Google Data Studio, Power BI, ChartBlocks, Tableau, Plotly, Infogram, DataDeck) were analyzed, which will simplify and improve the processes of processing and visualization of scientific research results.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

First International Conference "Open Science and Innovation in Ukraine 2022"

自引率

0.00%

发文量