Students' self-assessment of the data visualization process.

Archived collection of interactive charts included in the manuscript "Charts as Metadata—FAIR, Interactive Data Graphics from a Materials Science Knowledge Graph"Each chart includes the SPARQL query used to retrieve the data for the chart (.txt), the data itself (JSON), and the Vega-Lite specification for transforming the data into an interactive chart (JSON).Interactive versions hosted on Observable notebooks and accessible from https://observablehq.com/@mdeagen/archival-interactive-charts

A set of guidelines to help us all at the GLA understand the basic principles of data visualisation, provide some examples of good practice, working processes and links to tools we can all use. See blog for more details https://data.london.gov.uk/blog/city-intelligence-data-design-guidelines/

This repository contains supplementary materials for our study on Large Vision Language Models (LVLMs) and their effectiveness in evaluating data visualizations. The dataset includes student-created visualizations, expert annotations, model evaluations, and training data used for Retrieval-Augmented Generation (RAG).The repository is organized into the following folders:📁 Data VisualizationsContains 11 student-created data visualizations used in the study.Each visualization serves as input for LVLM evaluations.📁 Evaluation ResultsIncludes annotations for each visualization from:Expert evaluation ("ground truth").10 LVLMs (both base and RAG variants).Evaluations assess alignment with visualization principles, interpretability, and coherence.📁 Training DataContains Tufte & Wilkinson’s books used for Retrieval-Augmented Generation (RAG).These texts provide background knowledge for models incorporating retrieval-based improvements to the base models.

A set of guidelines to help us all at the GLA understand the basic principles of data visualisation, provide some examples of good practice, working processes and links to tools we can all use. See blog for more details https://data.london.gov.uk/blog/city-intelligence-data-design-guidelines/

Interactive data visualization has become a staple of modern data presentation. Yet, despite its growing popularity, we still lack a general framework for turning raw data into summary statistics that can be displayed by interactive graphics. This gap may stem from a subtle yet profound issue: while we would often like to treat graphics, statistics, and interaction in our plots as independent, they are in fact deeply connected. This article examines this interdependence in light of two fundamental concepts from category theory: groups and monoids. We argue that the knowledge of these algebraic structures can help us design sensible interactive graphics. Specifically, if we want our graphics to support interactive features which split our data into parts and then combine these parts back together (such as linked selection), then the statistics underlying our plots need to possess certain properties. By grounding our thinking in these algebraic concepts, we may be able to build more flexible and expressive interactive data visualization systems. Supplementary materials for this article are available online.

This article discusses how to make statistical graphics a more prominent element of the undergraduate statistics curricula. The focus is on several different types of assignments that exemplify how to incorporate graphics into a course in a pedagogically meaningful way. These assignments include having students deconstruct and reconstruct plots, copy masterful graphs, create one-minute visual revelations, convert tables into “pictures,” and develop interactive visualizations, for example, with the virtual earth as a plotting canvas. In addition to describing the goals and details of each assignment, we also discuss the broader topic of graphics and key concepts that we think warrant inclusion in the statistics curricula. We advocate that more attention needs to be paid to this fundamental field of statistics at all levels, from introductory undergraduate through graduate level courses. With the rapid rise of tools to visualize data, for example, Google trends, GapMinder, ManyEyes, and Tableau, and the increased use of graphics in the media, understanding the principles of good statistical graphics, and having the ability to create informative visualizations is an ever more important aspect of statistics education. Supplementary materials containing code and data for the assignments are available online.

Data analytics as a field is currently at a crucial point in its development, as a commoditization takes place in the context of increasing amounts of data, more user diversity, and automated analysis solutions, the latter potentially eliminating the need for expert analysts. A central hypothesis of the present paper is that data visualizations should be adapted to both the user and the context. This idea was initially addressed in Study 1, which demonstrated substantial interindividual variability among a group of experts when freely choosing an option to visualize data sets. To lay the theoretical groundwork for a systematic, taxonomic approach, a user model combining user traits, states, strategies, and actions was proposed and further evaluated empirically in Studies 2 and 3. The results implied that for adapting to user traits, statistical expertise is a relevant dimension that should be considered. Additionally, for adapting to user states different user intentions such as monitoring and analysis should be accounted for. These results were used to develop a taxonomy which adapts visualization recommendations to these (and other) factors. A preliminary attempt to validate the taxonomy in Study 4 tested its visualization recommendations with a group of experts. While the corresponding results were somewhat ambiguous overall, some aspects nevertheless supported the claim that a user-adaptive data visualization approach based on the principles outlined in the taxonomy can indeed be useful. While the present approach to user adaptivity is still in its infancy and should be extended (e.g., by testing more participants), the general approach appears to be very promising.

SQL Create Context

Uncovering Implications and Insights

By Huggingface Hub [source]

About this dataset

This dataset contains a collection of questions and answers that have been contextualized to reveal subtle implications and insights. It is focused on helping researchers gain a deeper understanding of how semantics, context, and other factors affect how people interpret and respond to various conversations about different topics. By exploring this dataset, researchers will be able to uncover the underlying principles governing conversation styles, which can then be applied to better understand attitudes among different groups. With its comprehensive coverage of questions from a variety of sources around the web, this dataset offers an invaluable resource for those looking to sleep analyze discourse in terms of sentiment analysis or opinion mining

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

How to Use This Dataset

This dataset contains a collection of contextualized questions and answers extracted from various sources around the web, which can be useful for exploring implications and insights. To get started with the dataset:

• Read through the headings on each column in order to understand the data that has been collected - this will help you identify which pieces of information are relevant for your research project.
• Explore each column and view what types of responses have been given in response to particular questions or topics - this will give you an idea as to how people interpret specific topics differently when presented with different contexts or circumstances.
• Next, analyze the responses looking for any patterns or correlations between responses on different topics or contexts - this can help reveal implications and insights previously unknown to you about a particular subject matter. You can also use any data visualization tools such as Tableau or PowerBI to gain deeper understanding into the results and trends within your data set!
• Finally, use these findings to better inform your project by tailoring future questions around any patterns discovered within your analysis!

Research Ideas

• To understand the nature of public debates and how people express their opinions in different contexts.
• To better comprehend the implicit attitudes and assumptions inherent in language use, providing insight into discourse norms on a range of issues.
• To gain insight into the use of rhetorical devices, such as exaggeration and deceptive tactics, used to influence public opinion on important topics

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv | Column name | Description | |:--------------|:-----------------------------------------------------------------------------| | context | The context in which the question was asked and the answer was given. (Text) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Huggingface Hub.

The Places dataset is designed following principles of human visual cognition. Our goal is to build a core of visual knowledge that can be used to train artificial systems for high-level visual understanding tasks, such as scene context, object recognition, action and event prediction, and theory-of-mind inference.

The semantic categories of Places are defined by their function: the labels represent the entry-level of an environment. To illustrate, the dataset has different categories of bedrooms, or streets, etc, as one does not act the same way, and does not make the same predictions of what can happen next, in a home bedroom, an hotel bedroom or a nursery. In total, Places contains more than 10 million images comprising 400+ unique scene categories. The dataset features 5000 to 30,000 training images per class, consistent with real-world frequencies of occurrence. Using convolutional neural networks (CNN), Places dataset allows learning of deep scene features for various scene recognition tasks, with the goal to establish new state-of-the-art performances on scene-centric benchmarks.

Here we provide the Places Database and the trained CNNs for academic research and education purposes.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('placesfull', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

https://storage.googleapis.com/tfds-data/visualization/fig/placesfull-1.0.0.png" alt="Visualization" width="500px">

Title: Real Estate Data UAE
Subtitle: UAE Studio Listings 2024

Description:

Dataset Overview: This dataset offers a comprehensive snapshot of studio apartment listings available for sale across the United Arab Emirates as of 2024. It encompasses a variety of properties, presenting a unique opportunity for market analysis, trend identification, and investment evaluation within the UAE real estate sector. The collection meticulously compiles data from various listings, presenting attributes such as unique identifiers, property titles, display addresses, the number of bathrooms, bedrooms, listing addition dates, regulatory details, property types, and pricing. This dataset is particularly tailored for those interested in the dynamics of the UAE's studio apartment market.

Data Science Applications: Despite its compact size, this dataset is ripe for various data science explorations. Analysts can leverage it for predictive modeling of property prices, trend analysis over time, geographical market segmentation, and feature importance studies to understand price determinants. It's a valuable resource for academic research, market analysis, and portfolio management, providing insights into the burgeoning real estate market of the UAE.

Column Descriptors: - id: Unique property listing identifier. - title: Descriptive title of the property listing. - displayAddress: Location information including community and city. - bathrooms: Count of bathrooms in the property. - bedrooms: Count of bedrooms in the property, noting the studio nature. - addedOn: Timestamp marking the listing's addition to the dataset. - type: Denotes the transaction nature, focused here on sales. - rera: Real Estate Regulatory Agency number for regulatory compliance. - propertyType: Categorized as 'apartment' for all entries. - price: Listed price of the property.

Ethically Mined Data: This dataset is curated with a strong commitment to ethical data practices. Sensitive information, such as agent contacts, has been diligently excluded to respect privacy and confidentiality. The compilation process adhered to fair use principles, ensuring data integrity and compliance with legal standards.

Acknowledgements: Special appreciation is extended to Property Finder and other platforms that serve as primary sources for real estate listings. Their dedication to maintaining up-to-date and accessible property information has been instrumental in the creation of this dataset.

This dataset is intended for educational and informational purposes, aiming to contribute to the broader understanding of the UAE real estate landscape. It encourages responsible use and further exploration within the data science community.

The touchscreen data logger market, valued at $1711 million in 2025, is projected to experience steady growth, driven by increasing demand across diverse sectors. The Compound Annual Growth Rate (CAGR) of 3.6% from 2025 to 2033 indicates a consistent expansion, primarily fueled by the rising adoption of advanced monitoring and data acquisition systems in industries like pharmaceuticals, food processing, and environmental monitoring. The preference for user-friendly interfaces, enhanced data visualization capabilities, and robust data security features offered by touchscreen data loggers are key market drivers. Furthermore, technological advancements leading to smaller, more portable, and energy-efficient devices are contributing to market growth. The integration of wireless connectivity and cloud-based data management further enhances the appeal of these loggers, enabling real-time data access and remote monitoring, which is vital for efficient operations and improved decision-making. Competitive landscape analysis reveals several key players like Dickson, Fluke, and ABB, each striving to differentiate through innovative features and targeted applications. The market segmentation, although not explicitly provided, can be reasonably inferred to include segments based on logger type (temperature, pressure, humidity, etc.), application (industrial, scientific, healthcare), and connectivity (wired, wireless). Factors potentially restraining market growth include the high initial investment costs associated with sophisticated touchscreen data loggers and the potential for obsolescence due to rapid technological advancements. However, the long-term benefits in terms of improved efficiency, reduced operational costs, and enhanced data management are expected to outweigh these challenges. Future growth will be influenced by factors like the increasing adoption of Industry 4.0 principles, the growing demand for data-driven insights, and stricter regulations related to data logging in various industries. This consistent, albeit moderate, growth will continue to attract new players and drive innovation within the touchscreen data logger market.

Fractional anisotropy (FA) is the most commonly used quantitative measure of diffusion in the brain. Changes in FA have been reported in many neurological disorders, but the implementation of diffusion tensor imaging (DTI) in daily clinical practice remains challenging. We propose a novel color look-up table (LUT) based on normative data as a tool for screening FA changes. FA was calculated for 76 healthy volunteers using 12 motion-probing gradient directions (MPG), a subset of 59 subjects was additionally scanned using 30 MPG. Population means and 95% prediction intervals for FA in the corpus callosum, frontal gray matter, thalamus and basal ganglia were used to create the LUT. Unique colors were assigned to inflection points with continuous ramps between them. Clinical use was demonstrated on 17 multiple system atrophy (MSA) patients compared to 13 patients with Parkinson disease (PD) and 17 healthy subjects. Four blinded radiologists classified subjects as MSA/non-MSA. Using only the LUT, high sensitivity (80%) and specificity (84%) were achieved in differentiating MSA subjects from PD subjects and controls. The LUTs generated from 12 and 30 MPG were comparable and accentuate FA abnormalities.

A user experience book can forever change the way you experience and interact with your physical environment, open your eyes to the desirability of bad design and the desirability of good design, and raise your expectations of how design should be done.

If you're looking to take a UX course, nothing can help you like buying a UX book. These books act like a user experience class and provide you with the content you need. The style and tone of the user experience training book is such that it encourages the reader to learn the content and continue reading the book. This issue makes the reader have a deeper understanding of the content.

User experience tutorials define, identify, and analyze UX practices for XR environments, and explore techniques and tools for prototyping and designing XR user interactions. By reading the user experience book and using UX key performance indicators, you will get closer to individual perceptions of the system.

User experience textbooks also focus on case studies and UX design principles to illustrate the relationship between UX design and the growth of immersive technologies. Practical examples in these books show how to apply UX design principles. By reading the user experience pdf book, you will even be able to research user-friendly components so that you can create attractive and effective designs.

The best way to start designing software, website or to get more information in this field is to download the design experience book. Fortunately, today, more than hundreds of user experience training books have been written by expert authors in this field, which can make your steps in this direction more solid.

We have compiled a list of the best selling and best user experience books at Kitabarah to help you learn quickly. Buying user experience book pdf is not for beginners. Managers, marketers, programmers, and even salespeople who want to increase their knowledge in the field of UX can use these resources. Just start reading the user experience book to become a professional designer step by step.

Overview: This dataset comprises 1,000 guest reviews from the TripAdvisor webpage dedicated to the Four Seasons Hotel George V, Paris, a symbol of luxury within the French hospitality industry. The collection represents a broad spectrum of guest experiences, articulated through detailed narratives and ratings, and is ethically sourced in compliance with privacy standards, acknowledging the essential role of TripAdvisor in promoting transparency in the travel sector.

Data Science/ML Applications: Designed for advanced data science and machine learning applications, this dataset is suitable for conducting sentiment analysis, predictive modeling, and customer satisfaction evaluations. The analysis of rich textual content in conjunction with quantitative ratings can reveal underlying trends, guest preferences, and opportunities for service improvement, providing valuable insights for enhancing the quality of guest experiences in luxury hospitality settings.

Column Descriptors: - publishedDate: Records the date when each review was published, providing a temporal context for the feedback. - title: Summarizes the essence of the guest's experience in a concise headline. - text: Contains the detailed account of the guest's stay, offering comprehensive insights into their observations and impressions. - ownerResponse/publishedDate: Indicates the date when the hotel management responded to a review, reflecting their commitment to guest engagement and feedback resolution. - ownerResponse/responder: Identifies the hotel management representative or department that addressed the guest's feedback, adding a personal dimension to the hotel's guest interaction. - ownerResponse: Details the hotel management's response to guest feedback, highlighting their approach to maintaining and improving service quality. - rating: Provides a numerical score assigned by the guest, ranging from 1 to 5, serving as a direct measure of their overall satisfaction with their stay.

Ethically Mined Data: The dataset is assembled with adherence to ethical principles, utilizing publicly shared information while respecting individual privacy.

Gratitude is extended to Tripadvisor for its role in facilitating informed travel decisions and serving as a valuable source of data for ongoing enhancements in the hospitality industry. Image credits: Four Seasons Hotel George V, Paris.

The year 2023 is the first year to fully implement the guiding principles of the 20th National Congress of the Communist Party of China (CPC) and a year for economic recovery and development following three years of COVID-19 prevention and control. Faced with complex and grave international environment as well as arduous tasks to advance reform, promote development and maintain stability at home, under the strong leadership of the CPC Central Committee with Comrade Xi Jinping at its core, all regions and departments took Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era as the guideline, fully implemented the guiding principles of the 20th CPC National Congress and the Second Plenary Session of the 20th CPC Central Committee, followed the decisions and arrangements made by the CPC Central Committee and the State Council, adhered to the general working guideline of making progress while maintaining stability, fully and faithfully applied the new development philosophy on all fronts, accelerated efforts to foster a new pattern of development, strove to promote high-quality development, comprehensively deepened reform and opening up, strengthened macro control, and redoubled efforts to expand domestic demand, optimize structure, boost confidence and prevent and defuse risks. As a result, the national economy witnessed the momentum of recovery. The high-quality development was pursued with solid steps, important advancement was achieved in the building of a modern industrial system, new breakthroughs were made in scientific and technological innovation, reform and opening-up was deepened, the foundation for security and development was consolidated, people’s wellbeing was strongly and effectively guaranteed, social harmony and stability was achieved, and solid strides were taken in building a modern socialist country in all respects.

This visualization shows how Early Modern science attempted to tackle real-life problems with applied mathematics. Starting from the fortification principles set out in Simon Stevin's Sterctenbouwing (1594), it summarizes the key factors that eventually dictated highly specialized fortification designs. Finally, the compromise between military and civic functions in the design of fortified cities is visualized by means of 3D renderings.

✅ Dataset Description:

📊 Dataset Overview:

• 📌 Position Name
• 🏢 Company
• 📍 Location
• ⭐ Company Rating
• 💼 Job Type (e.g., Full-time, Internship)
• 💰 Salary (if available)
• 🔗 External Application Links
• 🧾 Full Job Descriptions

🧠 Use Cases / Applications:

• 📈 Job Market Analytics Dashboards
• 🧠 NLP Projects
• 🤖 Job Recommender Systems
• 💬 AI Resume Analyzers
• 📚 Career Path Analysis Tools
• 💼 Mock Interview/Job Prep Tools

👤 Ideal For:

• Students & job seekers in AI/Data fields
• Data science learners building real-world portfolio projects
• Educators & mentors preparing career-focused workshops
• Researchers studying hiring trends or labor economics

⚠️ Disclaimer:

This dataset was collected for educational and research purposes only. The data comes from publicly available job listings and is not affiliated with or endorsed by any job portal or company mentioned. All scraping adhered to fair use principles.

FAIR data and reproducible results are important objectives of NFDI4Culture. This data publication contains a set of statistics, data, and visualisations of key aspects of the consortium for the period 10/2020 to 09/2023. These findings are a result of the work on the progress report that NFDI4Culture submitted to the German Research Foundation (DFG) in September 2023. In terms of utility for our partners and communities, these visualisations and data sets possess a broader significance beyond the report. Adhering to the principles of Open Science, that is the reason we offer them as a data publication of its own, to be used in presentations, workshops, and other formats.

A web version of this data publication is available at https://nfdi4culture.de/go/E5165

Phase stability, defect formation energies, and carrier concentrations are closely interrelated features of semiconductors. Due to their joint dependence on the multidimensional chemical potential space, it is challenging to quantitatively establish patterns between these quantities in a given semiconductor, especially when the semiconductor is comprised of multiple elements. To enable synchronous visualization and analysis of these complementary material properties and their interdependence, we developed the Visualization Toolkit for Analyzing Defects in Materials (VTAnDeM). This python-based toolkit allows users to interactively explore how defect formation energies and carrier concentrations vary across the composition and chemical potential spaces of multicomponent semiconductors. Here, we illustrate the computational workflow that employs VTAnDeM as a post-processing tool for first-principles calculations and describe the data organization and theory underlying the visualization scheme. We believe that this software will serve as a useful tool for simultaneously visualizing the often complex and non-intuitive chemical potential – defect – carrier concentration phase space of semiconductors.