[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-670925-105":59,"doc-detail-670925-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","deepeye-creating-good-data-visualizations-by-keyword-search","DeepEye - Creating Good Data Visualizations by Keyword Search","","Creating good visualizations for ordinary users is difficult even with advanced interactive tools like Tableau or Qlik, because it requires strong understanding of data meaning, distributions, attribute combinations, and suitable chart types. DeepEye is a visualization system that supports keyword-driven creation: it interprets query intent, generates and ranks candidate visualizations, and enables faceted navigation from a chosen result. The demonstration covers recommendation, keyword search, and click-based refinement to explore relevant alternatives.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/deepeye-creating-good-data-visualizations-by-keyword-search/670925/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/deepeye-creating-good-data-visualizations-by-keyword-search/670925.png","ImageObject",300,407,{"name":92,"@type":93},"Elsa","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-02","2026-11-01",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is DeepEye designed to help users do?","Question",{"text":112,"@type":113},"DeepEye helps users create good data visualizations by keyword search, generating and ranking meaningful visualization candidates from a dataset and a query.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does DeepEye interpret a user’s request?",{"text":117,"@type":113},"DeepEye converts the user’s text keyword query into an internal visualization language to generate candidate visualizations matching the intended focus.",{"name":119,"@type":110,"acceptedAnswer":120},"What features are highlighted in the demonstration?",{"text":121,"@type":113},"The demo focuses on visualization recommendation, keyword search, and faceted navigation for refining and exploring other relevant visualizations.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},670925,1793572726,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":19,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":52},137455077381,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","DeepEye: Creating Good Data Visualizations by Keyword Search  \nYuyu Luo†, Xuedi Qin†, Nan Tang‡, Guoliang Li†, Xinran Wang†  \n†Department of Computer Science, Tsinghua University ‡Qatar Computing Research Institute, HBKU  \n{luoyuyu@mail., qxd17@mails., liguoliang@, [wangxr14@mails.}tsinghua.edu.cn](wangxr14@mails.}tsinghua.edu.cn), [ntang@hbku.edu.qa](ntang@hbku.edu.qa)  \nABSTRACT  \nCreating good visualizations for ordinary users is hard, even with the help of the state-of-the-art interactive data visualization tools, such as Tableau, Qlik, because they require the users to understand the data and visualizations very well. DeepEye is an innovative visualization system that aims at helping everyone create good visualizations simply like a Google search. Given a dataset and a keyword query, DeepEye understands the query intent, generatesand ranks good visualizations. The user can pick the one she likesand do a further faceted navigation to easily navigate the candidate visualizations. In this demonstration, the attendees will have the opportunity to experience the following features: (1) visualization recommendation – Our system can automatically recommends meaningful visualizations by learning from existing known datasets and good visualizations; (2) keyword search – The attendee can pose text queries for specifying what visualizations she wants (e.g., trends) without specifying how to generate them; (3) faceted navigation – One can further re􀀛ne the results by a click-based faceted navigation to 􀀛nd other relevant and interesting visualizations.  \nACM Reference Format:  \nYuyu Luo†, Xuedi Qin†, Nan Tang‡, Guoliang Li†, Xinran Wang† . 2018. DeepEye: Creating Good Data Visualizations by Keyword Search. In SIGMOD’18: 2018 International Conference on Management of Data, June 10– 15, 2018, Houston, TX, USA. ACM, New York, NY, USA, 4 pages. [https:](https:)//[doi.org/10.1145/3183713.3193545](doi.org/10.1145/3183713.3193545)  \n1 INTRODUCTION  \nNowadays, the ability to create good visualizations has shifted from a nice-to-have skill to a must-have skill for all data analysts. However, the overwhelming choices of interactive data visualization tools (e.g., Tableau, Qlik and D3 [2]) only allow experts to create good visualizations, assuming that the experts know many details: the meaning and the distribution of the data, the right combination of attributes, and the right type of charts – these requirements are apparently not easy, even for experts.  \nChallenges. Not surprisedly, creating good data visualization is hard in practice. From the user perspective, there are many possible ways of visualizations for a given dataset (for example, di􀀝erent attribute combinations and visualization types), and many ways  \nPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for pro􀀛t or commercial advantage and that copies bear this notice and the full citation on the 􀀛rst page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior speci􀀛c permission and/or a fee. Request permissions [from permissions@acm.org](from permissions@acm.org).  \nSIGMOD’18, June 10–15, 2018, Houston, TX, USA © 2018 Association for Computing Machinery.  \nACM ISBN 978-1-4503-4703-7/18/06. . . $15.00 [https://doi.org/10.1145/3183713.3193545](https://doi.org/10.1145/3183713.3193545)  \nFigure 1: The architecture of DeepEye of transforming data (for example, grouping, binning, sorting, anda combination thereof)– these make it infeasible for the user toenumerate all possible visualizations and select the ones she needs. From the system perspective, among numerous problems, no consensus has emerged to quantify the “goodness” of a visualization. What makes it much harder is when the system does not even know","cbCaiuC3HjTjfRzv","https://ap.wps.com/l/cbCaiuC3HjTjfRzv","pdf",2565600,"English","# Abstract\n# Introduction\n## Challenges\n## DeepEye’s Approach and Methodology\n## Demo Scope and Features","[{\"question\":\"What is DeepEye designed to help users do?\",\"answer\":\"DeepEye helps users create good data visualizations by keyword search, generating and ranking meaningful visualization candidates from a dataset and a query.\"},{\"question\":\"How does DeepEye interpret a user’s request?\",\"answer\":\"DeepEye converts the user’s text keyword query into an internal visualization language to generate candidate visualizations matching the intended focus.\"},{\"question\":\"What features are highlighted in the demonstration?\",\"answer\":\"The demo focuses on visualization recommendation, keyword search, and faceted navigation for refining and exploring other relevant visualizations.\"}]","DeepEye - Creating Good Data Visualizations by Keyword Search | PDF"]