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.

Employment statistics on the Graphic Design Activities industry in the UK

Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion) has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, for selected one- and two-factorial within-subject designs as well as for selected two-factorial mixed designs and, with some creativity, even beyond (e.g., three-factorial mixed-designs). Depending on graph type (e.g., pure dot plot, box plot, and line plot), raw data can be displayed along with standard measures of central tendency (arithmetic mean and median) and dispersion (95% CI and SD). The free-to-use syntax can also be modified to match with individual needs. A variety of example applications of syntax are illustrated in a tutorial-like fashion along with fictitious datasets accompanying this contribution. The syntax collection is hoped to provide researchers, students, teachers, and others working with SPSS a valuable tool to move towards more transparency in data visualization.

Market Size statistics on the Graphic Design Activities industry in the UK

This dataset is structured as a graph, where nodes represent users and edges capture their interactions, including tweets, retweets, replies, and mentions. Each node provides detailed user attributes, such as unique ID, follower and following counts, and verification status, offering insights into each user's identity, role, and influence in the mental health discourse. The edges illustrate user interactions, highlighting engagement patterns and types of content that drive responses, such as tweet impressions. This interconnected structure enables sentiment analysis and public reaction studies, allowing researchers to explore engagement trends and identify the mental health topics that resonate most with users.

The dataset consists of three files: 1. Edges Data: Contains graph data essential for social network analysis, including fields for UserID (Source), UserID (Destination), Post/Tweet ID, and Date of Relationship. This file enables analysis of user connections without including tweet content, maintaining compliance with Twitter/X’s data-sharing policies. 2. Nodes Data: Offers user-specific details relevant to network analysis, including UserID, Account Creation Date, Follower and Following counts, Verified Status, and Date Joined Twitter. This file allows researchers to examine user behavior (e.g., identifying influential users or spam-like accounts) without direct reference to tweet content. 3. Twitter/X Content Data: This file contains only the raw tweet text as a single-column dataset, without associated user identifiers or metadata. By isolating the text, we ensure alignment with anonymization standards observed in similar published datasets, safeguarding user privacy in compliance with Twitter/X's data guidelines. This content is crucial for addressing the research focus on mental health discourse in social media. (References to prior Data in Brief publications involving Twitter/X data informed the dataset's structure.)

Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

Context

Data-driven models help mobile app designers understand best practices and trends, and can be used to make predictions about design performance and support the creation of adaptive UIs. This paper presents Rico, the largest repository of mobile app designs to date, created to support five classes of data-driven applications: design search, UI layout generation, UI code generation, user interaction modeling, and user perception prediction. To create Rico, we built a system that combines crowdsourcing and automation to scalably mine design and interaction data from Android apps at runtime. The Rico dataset contains design data from more than 9.3k Android apps spanning 27 categories. It exposes visual, textual, structural, and interactive design properties of more than 66k unique UI screens. To demonstrate the kinds of applications that Rico enables, we present results from training an autoencoder for UI layout similarity, which supports query-by-example search over UIs.

Content

Rico was built by mining Android apps at runtime via human-powered and programmatic exploration. Like its predecessor ERICA, Rico’s app mining infrastructure requires no access to — or modification of — an app’s source code. Apps are downloaded from the Google Play Store and served to crowd workers through a web interface. When crowd workers use an app, the system records a user interaction trace that captures the UIs visited and the interactions performed on them. Then, an automated agent replays the trace to warm up a new copy of the app and continues the exploration programmatically, leveraging a content-agnostic similarity heuristic to efficiently discover new UI states. By combining crowdsourcing and automation, Rico can achieve higher coverage over an app’s UI states than either crawling strategy alone. In total, 13 workers recruited on UpWork spent 2,450 hours using apps on the platform over five months, producing 10,811 user interaction traces. After collecting a user trace for an app, we ran the automated crawler on the app for one hour.

Acknowledgements

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN https://interactionmining.org/rico

Inspiration

The Rico dataset is large enough to support deep learning applications. We trained an autoencoder to learn an embedding for UI layouts, and used it to annotate each UI with a 64-dimensional vector representation encoding visual layout. This vector representation can be used to compute structurally — and often semantically — similar UIs, supporting example-based search over the dataset. To create training inputs for the autoencoder that embed layout information, we constructed a new image for each UI capturing the bounding box regions of all leaf elements in its view hierarchy, differentiating between text and non-text elements. Rico’s view hierarchies obviate the need for noisy image processing or OCR techniques to create these inputs.

The Graphic Design Software Product market has witnessed significant growth over the past years, evolving into a crucial component for various industries including advertising, marketing, and digital media. This market encompasses a wide range of tools and applications designed to turn creative ideas into visual rep

Snapshot img

Generative Design Market Size 2024-2028

The generative design market size is forecast to increase by USD 195.2 million, at a CAGR of 18.54% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing availability of trial versions and free tools that enable businesses to experiment with the technology. This trend is particularly prominent in industries such as architecture, engineering, and manufacturing, where generative design is being adopted to optimize complex designs and streamline the product development process. Artificial intelligence (AI) is a key enabler of generative design, allowing systems to learn from data and generate innovative solutions. For instance, Autodesk Dreamcatcher uses machine learning algorithms to generate design alternatives, while Frustum's generative design software uses AI to optimize product designs based on specific performance requirements.
However, the adoption of generative design is not without challenges. Interoperability issues with other software and legacy systems pose a significant obstacle, preventing seamless integration and collaboration between teams. Additionally, the complexity of generative design solutions can make it difficult for organizations to implement and manage the technology effectively. Despite these challenges, the potential benefits of generative design are significant. By automating the design process and enabling the exploration of multiple design options, companies can reduce development time, improve product performance, and gain a competitive edge. As such, it is essential for organizations to invest in the necessary resources and expertise to effectively implement and leverage generative design technologies.

What will be the Size of the Generative Design Market during the forecast period?

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The market continues to evolve, integrating various design disciplines and technologies to streamline processes and enhance innovation. Entities such as engineering design, structural analysis, finite element analysis, and computational fluid dynamics seamlessly collaborate to optimize product design and manufacturing. Design for reuse and recycling gain momentum with the integration of cloud computing and digital twins, enabling real-time data analytics and efficient product lifecycle management. Design exploration and optimization are revolutionized through artificial intelligence and machine learning, allowing for iterative design and design decision making. Design collaboration tools facilitate seamless communication and collaboration among teams, enabling faster prototyping and design validation.

Design standards and regulations adapt to accommodate emerging technologies, with parametric modeling and topology optimization becoming essential design tools. Design for assembly and disassembly, as well as design sustainability, are increasingly prioritized to minimize waste and promote circular economy principles. Design ethics and user experience design gain importance in the generative design landscape, with human-centered design approaches becoming the norm. Design for repair and reverse engineering also gain traction, as companies seek to extend the life cycle of their products and reduce waste. The market continues to unfold, with ongoing innovation in automotive, aerospace, industrial, fashion, and architectural design sectors, among others.

Design licenses and design space exploration enable designers to access a vast array of design options and optimize their designs for specific applications. Design objectives are continuously redefined, with lattice structures, material selection, and design constraints shaping the design process. Design verification and validation tools ensure that designs meet the required standards and specifications, while design sensitivity analysis provides valuable insights into design performance. The market is a dynamic and ever-evolving landscape, with continuous innovation and integration of technologies and design disciplines shaping its future.

How is this Generative Design Industry segmented?

The generative design industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Software
  Service


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Rest of World (ROW)

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

Generative design software is a cutting-edge technology that enables enterprises to automate and optimize product design processes. The software utilizes artificial intelligence, machine learning, and computational fluid dynamics to generate designs based on specifi

Healthcare Cost and Utilization Project (HCUP) Fast Stats provides easy access to the latest HCUP-based statistics for health care information topics. HCUP Fast Stats uses visual statistical displays in stand-alone graphs, trend figures, or simple tables to convey complex information at a glance. Fast Stats is updated regularly for timely, topic-specific national and State-level statistics. Fast Stats topics and graphics on hospital stays and emergency department visits, including information at the national, and state levels, trends over time, and selected priority topics such as: State Trends in Hospital User by Payer National Hospital Utilization and Costs Hurricane Impact on Hospital Use Opioids & Neonatal Abstinence Syndrome Severe Maternal Morbidity

As of January 2024, #love was the most used hashtag on Instagram, being included in over two billion posts on the social media platform. #Instagood and #instagram were used over one billion times as of early 2024.

Other-Cashflows-From-Financing-Activities Time Series for Quad Graphics Inc. Quad/Graphics, Inc. provides marketing solutions in North America, Mexico, Central America, the Caribbean, Europe, the Middle East, Africa, South America, and Asia. The company operates through United States Print and Related Services, and International segments. It offers printing services, such as retail inserts, publications, catalogs, special interest publications, journals, direct mail, directories, in-store marketing and promotion, packaging, newspapers, custom print products, and other commercial and specialty printed products; paper procurement services; and manufactures ink. The company also provides marketing and other services, including data intelligence and analytics, technology solutions, media planning, placement and optimization, creative strategy, and content creation, as well as execution in non-print digital and broadcast channels; and imaging and medical services. It serves blue-chip companies that operate in various industries and serve businesses and consumers across various industry verticals, including retail, consumer packaged goods and direct-to-consumer, financial services, and health. Quad/Graphics, Inc. was founded in 1971 and is headquartered in Sussex, Wisconsin.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Graph and download economic data for All Employees, Support Activities for Transportation (CES4348800001) from Jan 1990 to Jul 2025 about support activities, warehousing, transportation, establishment survey, employment, and USA.

Open access dataset from the IDEA challenge 2021.

The generation of this dataset has been undertaken as part of the ProtoTwin project (Improving the product development process through integrated revision control and twinning of digital-physical models during prototyping). The work was conducted at the University of Bristol in the Design and Manufacturing Futures Lab (http://www.dmf-lab.co.uk) and is funded by the Engineering and Physical Sciences Research Council (EPSRC), Grant reference EP/R032696/1. The dataset was generated in collaboration with the Norwegian Technical University (NTNU), University of Zagreb and University of Twente.

For more information please contact Mark (mark.goudswaard @ bristol.ac.uk) or James ( james.gopsill @ bristol.ac.uk)

Explore detailed Coir import data of Design Ideas Limited in the USA—product details, price, quantity, origin countries, and US ports.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Statistics illustrates the import value of Printed matter; pictures, designs and photographs, n.e.s. in item no. 4911.10 in Free Zones from 2007 to 2024 by trade partner.

The website eBiz Facts is a marketplace for crawled data that aims to provide users with a curated collection of online business ideas, resources, and success stories. The website features a clean and modern design, with a focus on showcasing inspiring stories of entrepreneurs who have achieved success online. The website's content is categorized into various topics, such as affiliate marketing, e-commerce, and online business ideas, and includes detailed summaries and reviews of various products and services.

The website's content is informative, engaging, and easy to read, with a conversational tone that makes it feel like readers are getting insider information from someone who has been in the trenches themselves. The website also includes a section for online business tips and insights, which sends out a weekly newsletter to subscribers with fresh ideas and resources for building a successful online business. Overall, eBiz Facts appears to be a valuable resource for anyone looking to start or grow an online business, and its focus on inspiring stories and success stories makes it a great place to learn from others and get motivated to take action.

This statistic shows the revenue of the industry “specialized design activities“ in the Philippines from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of specialized design activities in the Philippines will amount to approximately **** million U.S. Dollars by 2024.