2023/07/20 by Tatiane Maria da Cruz, Fred Garcia Jimenez, Cruz, Torres +5
Computer Science · #Computational Physics and Python Applications #Data Analysis with R #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Other Statistics (stat.OT)
paper · pdf · doi:10.48550/arxiv.2307.11056
openalex publication_date 2023/07/20 · openalex created_date 2023/07/22 · openalex updated_date 2026/07/28
This article presents DataXploreFines, an innovative Shiny application that revolutionizes data exploration, analysis, and visualization. The application offers functionalities for data loading, management, summarization, basic graphs, advanced analysis, and contact. Users can upload their datasets in popular formats like CSV or Excel, explore the data structure, perform manipulations, and obtain statistical summaries. DataXploreFines provides a wide range of interactive visualizations, including histograms, scatter plots, bar charts, and line graphs, enabling users to identify patterns and trends. Additionally, the application offers statistical tools such as time series analysis using ARIMA and SARIMA models, forecasting, and Ljung-Box statistic. Its user-friendly interface empowers individuals from various domains, including beginners in statistics, to make informed decisions.