| Clear images and colors | Post date: 04/03/06 | |
Release Date: August 18, 2025 (1404/05/27)
Overview
The Graphical and Exploratory Data Analysis Web Application is an interactive educational platform designed to support the teaching and learning of introductory statistics and exploratory data analysis. It enables students, teachers, and other learners to investigate data through a variety of graphical and descriptive statistical methods using both built-in real-world datasets and user-generated data. By combining visualization with statistical analysis, the application promotes statistical literacy and strengthens data analysis skills.
Key Features
Interactive Data Analysis and Visualization
Users can explore data in real time through a variety of graphical displays, including histograms, box plots, scatter plots, and pie charts. The interactive environment encourages experimentation and facilitates a deeper understanding of statistical concepts.
Importing User Data
The application allows users to import datasets in CSV and TXT formats, making it easy to analyse their own data.
Real-World Datasets
In addition to several benchmark datasets commonly used in statistics and data science education, the application includes Iranian demographic data, such as annual birth statistics from 1965 to 2023 (Solar Hijri years 1344–1402). These datasets provide meaningful contexts for learning and help users explore real statistical and social phenomena.
Descriptive Statistical Analysis
The application automatically calculates and displays essential descriptive statistics for selected variables, including the mean, median, standard deviation, and other summary measures.
Interactive Data Editing
Users can edit or modify data and immediately observe the corresponding changes in numerical summaries and graphical displays. This real-time feedback helps learners understand how changes in the data affect statistical results.
Guidance on Data Visualization
The application provides practical guidance on selecting the most appropriate graphical display for different types of variables, helping users develop sound data visualization practices.
About the Developer
Developed by Dr. Mahdi Salehi, Associate Professor of Statistics, this web application provides an engaging environment for teaching and learning introductory statistics. By integrating interactive data exploration with graphical and numerical analysis, it helps learners build conceptual understanding while developing practical data analysis skills. The application encourages active learning and makes the study of statistics more engaging, accessible, and effective.
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