Data Visualization and Prediction Model Analysis

Data visualization plays an important role in the process of data analysis. It can transform complex data into intuitive charts, which helps us understand data more effectively. The purpose of this paper is to study the application of data visualization and compare different prediction models. In th...

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Main Author: Hua Ziyi
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03003.pdf
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author Hua Ziyi
author_facet Hua Ziyi
author_sort Hua Ziyi
collection DOAJ
description Data visualization plays an important role in the process of data analysis. It can transform complex data into intuitive charts, which helps us understand data more effectively. The purpose of this paper is to study the application of data visualization and compare different prediction models. In this work, I present three different prediction models and apply them on the US airline industry datasets by using Python as the programming language. Then these data sets are made into a bar graph and analy1zed through these three prediction models. Finally, this paper provides some suggestions on how to choose appropriate visualization tools based on data characteristics. This study not only enriches the application examples of data visualization, but also provides valuable reference for decision-making and predicting in data analysis.
format Article
id doaj-art-f918a5b041c7446aad91c7d193b90a86
institution Kabale University
issn 2271-2097
language English
publishDate 2025-01-01
publisher EDP Sciences
record_format Article
series ITM Web of Conferences
spelling doaj-art-f918a5b041c7446aad91c7d193b90a862025-02-07T08:21:11ZengEDP SciencesITM Web of Conferences2271-20972025-01-01700300310.1051/itmconf/20257003003itmconf_dai2024_03003Data Visualization and Prediction Model AnalysisHua Ziyi0University of Mount Saint VincentData visualization plays an important role in the process of data analysis. It can transform complex data into intuitive charts, which helps us understand data more effectively. The purpose of this paper is to study the application of data visualization and compare different prediction models. In this work, I present three different prediction models and apply them on the US airline industry datasets by using Python as the programming language. Then these data sets are made into a bar graph and analy1zed through these three prediction models. Finally, this paper provides some suggestions on how to choose appropriate visualization tools based on data characteristics. This study not only enriches the application examples of data visualization, but also provides valuable reference for decision-making and predicting in data analysis.https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03003.pdf
spellingShingle Hua Ziyi
Data Visualization and Prediction Model Analysis
ITM Web of Conferences
title Data Visualization and Prediction Model Analysis
title_full Data Visualization and Prediction Model Analysis
title_fullStr Data Visualization and Prediction Model Analysis
title_full_unstemmed Data Visualization and Prediction Model Analysis
title_short Data Visualization and Prediction Model Analysis
title_sort data visualization and prediction model analysis
url https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03003.pdf
work_keys_str_mv AT huaziyi datavisualizationandpredictionmodelanalysis