Abstract This article deals with the problem of translating statistical information given in other registers into the tabular register, from the following two objectives: 1) to study the performance of prospective teachers in translating information given in the other registers into the tabular register; and 2) to compare the performance of future teachers in the different translations. The study included 30 students, future teachers of the first school years, who were attending the 1st or 2nd year of the Degree in Basic Education, at a Higher Education School in the north of Portugal. The data of the present study were obtained through the answers given by the students to four questions, which required the translation of statistical information given in the graphic, numeric-verbal and simple data list register into the tabular register. In terms of results, it is noteworthy that students were more successful in building the simple frequency tables than in building the two two-way tables and the data table grouped into class intervals, the latter being the one that proved to be the most difficult. These results, related to the translation of different registers into the tabular register, are the main contribution of the study and imply that the prospective teachers must deepen their skills of tabular representation.

The tabular representation of the T2DM phenotype algorithm generated by PhenoMan using the T2DM ontology

Tables and charts have long been seen as effective ways to convey data. Much attention has been focused on improving charts, following ideas of human perception and brain function. Tables can also be viewed as two-dimensional representations of data, yet it is only fairly recently that we have begun to apply principles of design that aid the communication of information between the author and reader. In this study, we collated guidelines for the design of data and statistical tables. These guidelines fall under three principles: aiding comparisons, reducing visual clutter, and increasing readability. We surveyed tables published in recent issues of 43 journals in the fields of ecology and evolutionary biology for their adherence to these three principles, as well as author guidelines on journal publisher websites. We found that most of the over 1,000 tables we sampled had no heavy grid lines and little visual clutter. They were also easy to read, with clear headers and horizontal orientation. However, most tables did not aid the vertical comparison of numeric data. We suggest that authors could improve their tables by the right-flush alignment of numeric columns typeset with a tabular font, clearly identify statistical significance, and use clear titles and captions. Journal publishers could easily implement these formatting guidelines when typesetting manuscripts. Methods Once we had established the above principles of table design, we assessed their use in issues of 43 widely read ecology and evolution journals (SI 2). Between January and July 2022, we reviewed the tables in the most recent issue published by these journals. For journals without issues (such as Annual Review of Ecology, Evolution, and Systematics, or Biological Conservation), we examined the tables in issues published in a single month or in the entire most recent volume if few papers were published in that journal on a monthly basis. We reviewed only articles in a traditionally typeset format and published as a PDF or in print. We did not examine the tables in online versions of articles. Having identified all tables for review, we assessed whether these tables followed the above-described best practice principles for table design and, if not, we noted the way in which these tables failed to meet the outlined guidelines. We initially both reviewed the same 10 tables to ensure that we agreed in our assessment of whether these tables followed each of the principles. Having ensured agreement on how to classify tables, we proceeded to review all subsequent journals individually, while resolving any uncertainties collaboratively. These preliminary table evaluations also showed that assessing whether tables used long format or a tabular font was hard to evaluate objectively without knowing the data or the font used. Therefore, we did not systematically review the extent to which these two guidelines were adhered to.

WikiDBs-10k (https://wikidbs.github.io/) is a corpus of relational databases built from Wikidata (https://www.wikidata.org/). This is the preliminary 10k version, the newer version of 100k databases (https://zenodo.org/records/11559814) includes more coherent databases and more diverse table and column names.

The WikiDBs-10k corpus consists of 10,000 databases, for more details read our paper: https://ceur-ws.org/Vol-3462/TADA3.pdf (TaDA@VLDB'23)

Each database is saved in a sub-folder, the table files are provided as csv files and the database schema as a json file.

We thank Till Döhmen and Madelon Hulsebos for generously providing the table statistics from their GitSchemas dataset and Jan-Micha Bodensohn for converting the dataset to SQLite files. This work has been supported by the BMBF and the state of Hesse as part of the NHR Program and the BMBF project KompAKI (grant number 02L19C150), as well as the HMWK cluster project 3AI. Finally, we want to thank hessian.AI, and DFKI Darmstadt for their support.

WikiDBs is an open-source corpus of 100,000 relational databases. We aim to support research on tabular representation learning on multi-table data. The corpus is based on Wikidata and aims to follow certain characteristics of real-world databases.

WikiDBs was published as a spotlight paper at the Dataset & Benchmarks track at NeurIPS 2024.

WikiDBs contains the database schemas, as well as table contents. The database tables are provided as CSV files, and each database schema as JSON. The 100,000 databases are available in five splits, containing 20k databases each. In total, around 165 GB of disk space are needed for the full corpus. We also provide a script to convert the databases into SQLite.

This dataset was created by scraping match details from various sources, a major point to note is if there was a tag team match between teams like jey uso and kofi kingston vs ludwig kaiser and fabian aichner if jey uso's team has won the match in the table winner is jey uso loser is ludwig kaiser again in the next row winner is jey uso loser is fabian aichner the same repeats with kofi kingston winner is kofi kingston loser is ludwig kaiser winner is kofi and loser is fabian

This is the only thing that is complex about the data and more data sets of previous years are also coming soon please stay tuned

Tabular Representation of Soft set (F,E).

This word file contains the template for presentation of results in tabular format for mammalian toxicology studies, replacing the Appendix F of the EFSA administrative guidance on submission of dossiers and assessment reports for the peer‐review of pesticide active substances (EFSA, 2019; doi:10.2903/sp.efsa.2019.EN-1612). The filled-in template shall be used when compiling HTML tables or alternatively be uploaded in Attached (sanitised) documents for publication in the relevant endpoint study record.

If the information is added as a HTML table it can be included in the report generated, but it can not if it is attached.

PubTabNet

PubTabNet is a large dataset for image-based table recognition, containing 568k+ images of tabular data annotated with the corresponding HTML representation of the tables. The table images are extracted from the scientific publications included in the PubMed Central Open Access Subset (commercial use collection). Table regions are identified by matching the PDF format and the XML format of the articles in the PubMed Central Open Access Subset. More details are available in… See the full description on the dataset page: https://huggingface.co/datasets/ajimeno/PubTabNet.

BackgroundPeritonsillar abscess (PTA) is a prevalent infection for specialists in otorhinolaryngology and pediatric primary care providers, that has the potential to cause severe complications. The aim of this study is to investigate the surgical treatment of pediatric peritonsillar abscesses and to compare the risk profiles of bilateral surgery versus surgery on the affected side alone. In addition, the evaluation of the microbiological smears obtained intraoperatively should provide information on whether the calculated antibiotic therapy adequately covers the microbial spectrum.MethodsWe conducted a retrospective analysis of pediatric patients (n = 150), who were treated for PTA between 2009 and 2024 by unilateral tonsillectomy (UTE) or bilateral tonsillectomy (BTE). Patient charts were analyzed regarding risk of bleeding, occurrence of other complications, recurrence rates in case of UTE as well as microbiological flora and antibiotic treatment.ResultsPostoperative bleeding did not differ significantly between both groups. In 4.4% of the patients treated by UTE a recurrent PTA was found. No other severe complications after surgical treatment were found. Antibiotic treatment mainly relied on Cefuroxime and Ampicillin-Sulbactam, which is in accordance with the detected microbiological flora.ConclusionsNo relevant differences were found with regard to the complication rate between UTE und BTE in pediatric patients. Broad-spectrum antibiotics were used in accordance with the detected microbiological flora. Since 2019, calculated antibiotic therapy with Ampicillin-Sulbactam has been the treatment of choice for pediatric PTA.

Tabular presentation of the logarithms of the observed incidence rates, (), in the frame of the LLAPC model.

The Oakland Police Department provides crime data to the public through the City of Oakland’s Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

This dataset contains results of two controlled experiments with students in TU Delft on the comprehensibility of tabular and graphical risk model representations. The dataset contains the raw data collected with Qualtics survey platform, the dataset processed with responses validated against a baseline of correct responses. The dataset is related to the following publication: Labunets, K. (2018). No search allowed: what risk modeling notation to choose?. In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (p. 20). ACM.

Abstract: This study analyzes the responses given by 332 8th grade Portuguese students to two questions, one with data set defined by a frequency table and the other defined by a bar graph. The goal is the evaluation of the effect of the data representation on the calculation of the median. Using a combined methodology, a frequency analysis of students' response types and a semiotic analysis of responses, based on onto-semiotic approach of knowledge and mathematics education, were applied. The semiotic analysis' main goal was the identification of objects and mathematical processes, which can characterize semiotic conflicts implied from the student responses. Generally, students revealed greater tendency to not respond to the graphic determination of the median, however, those who do answer, tend to obtain the median with less difficulty in a graphic context. Semiotic conflicts seem not to depend on the presentation of the data set, although there are more answers that are incorrect in the tabular context than in the graphic context.

The Oakland Police Department provides crime data to the public through the City of Oakland’s Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

The dataset is comprised of 1.4 million procedurally-generated bicycle designs which are represented parametrically, as JSON files, and as rasterized images. The dataset is created through the use of a rendering engine which harnesses the BikeCAD software to generate vector graphics from parametric designs. This rendering engine is discussed in the paper and also released publicly alongside the dataset. Though this dataset has numerous applications, a principal motivation is the need to train cross-modal predictive models between parametric and image-based design representations. For example, we demonstrate that a predictive model can be trained to accurately estimate Contrastive Language-Image Pretraining (CLIP) embeddings from a parametric representation directly. This allows similarity relations to be established between parametric bicycle designs and text strings or reference images. Trained predictive models are also made public. The dataset joins the BIKED dataset family which includes thousands of mixed-representation human-designed bicycle models and several datasets quantifying design performance.

Number and proportion of persons elected to national Parliament and of ministers appointed to federal Cabinet by gender, Canada, provinces and territories.

Table of class and type representation in spatial units.

Original excel files of tabular data that have been used to generate the visual presentation using graphs and charts of the techniques for the current research trends within 6 years (from years 2013 to 2018).

A tabular representation of road safety engineering countermeasures installed in HRM, including the number of installations targeted per year and the total completed each year.The data was compiled to support the online Road Safety Dashboard which tracks road safety progress. Metadata