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...
Saved in:
Main Author: | |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1825206605633814528 |
---|---|
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 |