From Data to Insight: Data Analysis and Visualization with Orange

Orange Data Mining is an open-source and user-friendly software for data analysis and visualization. It offers an interactive, workflow-based interface that allows users to build data analysis processes by combining pre-developed widgets. These widgets can perform tasks such as data preprocessing, visualization, statistical analysis, and machine learning. Orange is particularly popular due to its ease of use, requiring no programming knowledge. At the same time, it supports both beginner and advanced users in data science. With various add-ons, users can also map geospatial information or easily analyze time series data. These features make Orange a suitable tool for citizen science, as it makes data analysis accessible and engaging for the general public. It helps them develop skills such as data literacy, problem-solving, and computational thinking. By simplifying complex data analysis, Orange enables citizen scientists to make meaningful contributions to research in areas such as ecology, public health, and environmental monitoring. During this workshop, participants will be introduced to Orange, explore its capabilities for data analysis and visualization, including mapping, and gain hands-on experience to demonstrate applications for citizen science activities.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-22
DOI
https://doi.org/10.5281/zenodo.14719273
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

From Data to Insight: Data Analysis and Visualization with Orange

Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

From Data to Insight: Data Analysis and Visualization with Orange

article en

Abstract

Orange Data Mining is an open-source and user-friendly software for data analysis and visualization. It offers an interactive, workflow-based interface that allows users to build data analysis processes by combining pre-developed widgets. These widgets can perform tasks such as data preprocessing, visualization, statistical analysis, and machine learning. Orange is particularly popular due to its ease of use, requiring no programming knowledge. At the same time, it supports both beginner and advanced users in data science. With various add-ons, users can also map geospatial information or easily analyze time series data. These features make Orange a suitable tool for citizen science, as it makes data analysis accessible and engaging for the general public. It helps them develop skills such as data literacy, problem-solving, and computational thinking. By simplifying complex data analysis, Orange enables citizen scientists to make meaningful contributions to research in areas such as ecology, public health, and environmental monitoring. During this workshop, participants will be introduced to Orange, explore its capabilities for data analysis and visualization, including mapping, and gain hands-on experience to demonstrate applications for citizen science activities.

Zenodo (CERN European Organization for Nuclear Research)
University of Twente (NL)
Quality Education
Openalex Percentile: Top 51%
Data Visualization and Analytics
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From Data to Insight: Data Analysis and Visualization with Orange · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS