29,167 results for Data

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What is Data Visualization? Definition, Tools, & Examples

Jan 2, 2026 · Data visualization is the process of making visuals like charts, maps, infographics, or graphs to organize data in a way that you can easily see and understand.

arxiv.org/abs/2210.11463v1

Breaking Bad: A Dataset for Geometric Fracture and Reassembly

We introduce Breaking Bad, a large-scale dataset of fractured objects. Our dataset consists of over one million fractured objects simulated from ten thousand base models. The fracture simulation is powered by a recent physically based algorithm that...

arxiv.org/abs/cs/0306047v1

Concrete uses of XML in software development and data analysis

XML is now becoming an industry standard for data description and exchange. Despite this there are still some questions about how or if this technology can be useful in High Energy Physics software development and data analysis. This paper aims to...

arxiv.org/abs/2301.03455v1

Datenkompetenz im Physikstudium -- ein Erfahrungsbericht

Do our physics curricula provide the appropriate data management competences in a world where data are considered a crucial resource and substantial funding is available for building a national research data infrastructure (German: Nationale Forschun...

arxiv.org/abs/1901.08406v2

Hybrid NER System for Multi-Source Offer Feeds

Data available across the web is largely unstructured. Offers published by multiple sources like banks, digital wallets, merchants, etc., are one of the most accessed advertising data in today's world. This data gets accessed by millions of people on...

arxiv.org/abs/1806.01504v1

Graph Compression Using Pattern Matching Techniques

Graphs can be used to represent a wide variety of data belonging to different domains. Graphs can capture the relationship among data in an efficient way, and have been widely used. In recent times, with the advent of Big Data, there has been a need...

arxiv.org/abs/2508.10866v2

Efficiently Verifiable Proofs of Data Attribution

Data attribution methods aim to answer useful counterfactual questions like "what would a ML model's prediction be if it were trained on a different dataset?" However, estimation of data attribution models through techniques like empirical influence...

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Graphics - Wikipedia

A graph or chart is a graphic that represents tabular or numeric data. Charts are often used to make it easier to understand large quantities of data and the relationships between different parts of the data.

github.com/noncent/instagram-data-scraper

noncent/instagram-data-scraper

Instagram Data Scraper, Instagram Web Scraper, Instagram Super Scraper is a PHP script which takes @user-name or #keywords as input and returns all information related to user or hash-tags e.g. likes, comments, post count, images, likes on images etc... You ca…

arxiv.org/abs/2008.09209v1

Addestramento con Dataset Sbilanciati

English. The following document pursues the objective of comparing some useful methods to balance a dataset and obtain a trained model. The dataset used for training is made up of short and medium length sentences, such as simple phrases or extracts...

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QUERY function - Google Docs Editors Help

QUERY(A2:E6,F2,FALSE) Syntax QUERY(data, query, [headers]) data - The range of cells to perform the query on. Each column of data can only hold boolean, numeric (including date/time types) or …