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Marketing Attribution Software Market Analysis, Segments Of The Tech World, Key Vendors Trends, Opportunity and Forecast 2027, Market Research Future Market Synopsis The analysis conducted by the data experts of Market Research Future Reports informs that the Marketing Attribution Software Market Analysis is speculated to display a promising CAGR of 15.3% during the assessment period. The increasing demand for optimizing the marketing expenditure of organizations is the most significant factor influencing the global marketing attribution software market 2020. Besides, the increasing adoption of developed technologies like AI is estimated to be a substantial element driving the global market. Moreover, the need for tracking customer behaviour for targeted marketing initiatives is another significant factor leading to market growth. In addition, the software also provides insights to review ROI and gives details with respect to the lead generation. Therefore, demand is estimated to increase swiftly during the review period. However, the security threats related to sensitive data of the organizations is estimated to be a major hindrance in market growth. Also, the expansion of the global marketing attribution software market is projected to be affected significantly due to the outbreak of COVID-19. The daily operations in various regions were put to a halt which immensely affected the manufacturing cycle of the product. Market Segmentation The worldwide marketing attribution software market can be classified on the basis of attribution, component, type, organization size, deployment mode, vertical, and region. Based on attribution type, the global marketing attribution software market can be classified into single-source attribution, multi-source attribution, and probabilistic or algorithmic attribution Based on component, the global marketing attribution software market can be classified into software and services. Based on organization size, the global marketing attribution software market can be classified into large enterprises and small and medium-sized enterprises. Based on deployment mode, the global marketing attribution software market can be classified into the cloud and on-premise. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/7475 Based on vertical, the global marketing attribution software market can be classified into retail, FMCG and consumer packaged goods, consumer electronics, IT telecom, BFSI, healthcare, travel and hospitality, media and entertainment, and others. Based on the region, the global marketing attribution software market can be classified into North America, Europe, Asia-Pacific, Middle East Africa, and South America. Regional Analysis Thorough research has been carried out for North America, Europe, Asia-Pacific, Middle East Africa, and South America. As per the evaluation, the market is projected to expand significantly during the assessment period. Among all regions, the global market is speculated to be dominated by North America. Among all nations in North America, the US and Canada are likely to make the most significant participation during the assessment period. Besides, it also consists of the nations that are technically well-equipped and adopt innovative digital technologies fast. The growing demand for tracking consumer behaviour and preference has resulted in the enlargement of regional market size. Besides, most of the established manufacturers are based out of the US and has a strong customer base. On the other hand, the European market is speculated to expand at the maximum CAGR during the assessment period from 2018 to 2023. The APAC region is speculated to augment substantially during the assessment period due to the presence of various startups which are acting as a market catalyst. Key Players The distinguished market competitors of the worldwide marketing attribution software market are Adobe Inc. (US), Google (US), Visual IQ – A Nielsen Company (US), SAP SE (Germany), Oracle Corporation (US), Analytic Partners, Inc. (US), Calibermind (US), Attribution LLC (US), Engagio (US), Singular (US), Wizaly (France), Rockerbox, Inc. (the US), Neustar, Inc. (the US), OptiMine (US), and Merkle Group Inc. (US), and a few others. Browse Complete Report @ https //www.marketresearchfuture.com/reports/marketing-attribution-software-market-7475 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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Research Analysis The market research report profiles well-balanced information with previous as well as future results with an aim to offer a better understanding of the Recycled Thermoplastic Market. The market report further offers an in-depth view of the leading factors that are related to increasing the demand growth for Recycled Thermoplastic Market. Not only this but also in this study the readers can get an in-depth report of the possibilities in combination with the latest trends in the targeted market. It is also a detailed combination of 10 years old qualitative and quantitative analysis of the industry that has been presented in the report with an aim to help the market players to increase maximum profit in the sector. The market research report also provides information on the record of individual sales records that are made with the expected revenue over the forecast period. This research report provides an extensive examination of all the related segments present in the industry. Moreover, it throws light on the recent development as well as the opportunity is that is going on in the Recycled Thermoplastic Market. Get a Sample PDF File@ https //www.quincemarketinsights.com/request-sample-88267?pu Market Report Features Overview Of The Market Report The market research report offers a detailed quantitative as well as qualitative overview of the market for Recycled Thermoplastic Market on the basis of area, category, product, competitors, and application. In terms of expanded coverage, the market report is further extended in terms of end-user market analysis and the comprehensive producer profile. Market Segmentation Of Recycled Thermoplastic Market Market The market segmentation of the Recycled Thermoplastic Market is done on the basis of technology, product type, application, distribution channel, and end-user. Geographical segmentation is also being done to get valuable insights into the Recycled Thermoplastic Market. Geographical Analysis Doing the geographical analysis is very important to know about the broad feature of the market. In this section, the readers can get a comprehensive analysis of the Recycled Thermoplastic Market based on the geographical location. This section throws light on the demand and sales output for the Recycled Thermoplastic Market at the national and international levels. The study is being done taking into account some of the major geographic regions such as North America, Europe, Asia Pacific, South America, Middle East, and Africa. Make an Enquiry for purchasing this Report @ https //www.quincemarketinsights.com/enquiry-before-buying/enquiry-before-buying-88267?pu Market Key Highlights The market report on the Recycled Thermoplastic Market is a summary of the current market situation for the Recycled Thermoplastic Market. Moreover, the analysis provides information regarding the newly launched product and also the products that are to be launched during the forecast period. The study also includes minute details regarding market share, segment, trends, growth and forecast W Plastics, Plastipak Holdings, Inc., PARC Corporation, Clear Path Recycling, B. Schoenberg and Co., Custom Polymers Inc., RJM International Inc., Suez SA, Merlin Plastics Alberta Inc., Ricova International Inc. Quince Market Insights Top Trending Research Report* https //qmi189135117.wordpress.com/2022/09/16/cumene-sulfonic-acid-market-size-industry-growth-rate-global-share-upcoming-trends-leading-players-products-and-services-overview-forecast-to-2032/ https //qmi189135117.wordpress.com/2022/09/16/3-hexenyl-salicylate-market-key-findings-growth-prospects-and-size-by-country-top-manufacturer-expansion-plans-and-business-strategy-forecast-to-2032/ https //qmi189135117.wordpress.com/2022/09/16/ethylene-glycol-monostearate-market-trends-growth-size-swot-analysis-opportunity-assessment-by-forecast-to-2021-drivers-and-applications-are-pertinent-for-sustenance-during-the-forecast-period-20/ Details Contained In The Recycled Thermoplastic Market Report 2021 Market Overview 1.1 Market Introduction 1.2 Market Analysis By Type 1.2.1 Type 1 1.2.2 Type 2 1.3 Market Analysis By Applications 1.3.1 Application 1 1.3.2 Application 2 1.4 Market Analysis by Regions 1.4.1 North America 1.4.2 Europe 1.4.3 Asia Pacific 1.4.4 South America 1.4.5 the Middle East and Africa Market Scope Market Segmentation by type, application, end-users and regions Market Size estimation Market Competition Key Market Leaders Conclusions The market research report offers a detailed study of the Recycled Thermoplastic Market which include market shares, size and growth opportunities by applications, product types and geographic regions. Not only this but also the report also contains a detailed summary of the leading market players. The experts have also mentioned the market growth, threats, opportunities and risks. About Us QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the world’s most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns. Contact us Quince Market Insights Phone +1 208 405 2835 Email sales@quincemarketinsights.com Website https //www.quincemarketinsights.com/
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Market Scenario Logistic Software Market enables associations to organize complex activities and techniques from the purpose in starting to the place of utilization. Operations incorporates the board of the progression of data, material dealing with, stock, creation, bundling, warehousing, transportation, and conveyance. The calculated programming market assists associations with taking care of their coordinated operations, armada the executives, request arranging, ERP suites, stockroom the board, and transportation the executives. Also, it gives scanner tag programming and stock control instruments. Such components benefit clients to productively oversee tremendous volumes of stock and synchronizes processes across various offices and workers. This multitude of benefits push the calculated programming market development way higher. As per the calculated programming market examination, the expense effective and efficient elements of the planned operations programming are supporting the market potential throughout the long term. The presence of a competitive scene is additionally inciting to bring out better arrangements which thusly prompts the advancement of the strategic programming industry. A few grounded worldwide brands, just as new participants, are making vital consolidations and acquisitions to give clients a superior stage to overseeing strategies. Moreover, these sellers are chipping away at advancements and a more financially savvy programming portfolio that prompts advancing the strategic programming deals in the impending occasions. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/4420 Competitive Outlook The key players in the global logistic software market include- Digilogistics, Advantech Corporation, UTI Worldwide Inc., IBM Corporation, Hexaware Technologies, JDA Software, Oracle, Samsung Electronics Co, SAP AG, and Tech Mahindra, among others. The market for logistics software is highly competitive globally. Segmentation By Software Type The calculated programming market section based on programming type contains different administration apparatuses that can back out errands of associations. The section is bifurcated in the process of childbirth the executives, information the board, transportation the executives, and distribution centre administration. By Region In this section, the strategic programming market incorporates various areas like North America, Asia-Pacific, Europe, and the excess regions of the planet. The significant nations that add to the development of the market in the North American district are Canada, Mexico, the US. The Asia-Pacific district is bifurcated into Japan, China, India, and the remainder of the Asia Pacific area. Additionally, Europe is divided into France, Germany, the UK, and the remainder of Europe. By End-Users The end-client portion comprises of areas like telecom and IT, government and protection, medical care, car, oil and gas, modern, designing, and fabricating, and numerous others. Regional Analysis The calculated programming market examination is done on numerous topographies like North America, Asia-Pacific, Europe, and the leftover regions of the planet. The Asia-Pacific district represents the greatest strategic programming piece of the pie attributable to the expanding interest for very good quality innovation reception and taking off up hardware industry in the area. The nations like China, India, and Japan contribute the most to the development of the market size. Fast industrialization and digitalization will help the market development in Asia-Pacific in the gauge time frame. The developing medical services and IT area in the North American locale assist it with developing the operations programming interest in the district. It will advance the calculated programming market development of the district to the greatest potential sooner rather than later. Industry News Mechanization of distribution centres with advanced mechanics and coordinated operations programming will turn into an extraordinary pattern in the impending occasions. It will improve observing, getting just as dispatching of the items present in the stockroom. Inserted joining capacities will give programming as-an assistance organizations in the strategic space for offering esteem added administrations related with inventory network and planned operations information. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/logistic-software-market-4420 Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure Continued…. View Similar Report Internet of Things (IoT) Market By Software (Data Management, Network Management), By Hardware(Sensors, camera), By Services (Manage Services, Professional Services), By Organization Type (Small and Medium Scale Business, Large Scale Business) Read More** https //www.marketresearchfuture.com/reports/logistic-software-market-4420 Voice Assistant Market** https //mrfrinformation.tistory.com/615 Network-Attached Storage Market** https //telescope.ac/information-technology-Lc1XMRDqL/5WlKY9Kx4 About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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Market Analysis The Email Marketing Industry is predicted to grow at a healthy 15.2% CAGR between 2020- 2027, states the recent Market Research Future (MRFR) analysis. Email marketing is more than merely sending mails. It has various features like reporting and analytics, campaign automation, scheduling, email builders, and design tools that allows enterprises in streamlining their marketing efforts. The key benefits of email market solution is in building customer loyalty, increasing the number of leads, and increasing sales. Various factors are fuelling the global email marketing market share. As per the recent MRFR market estimates, such factors include increasing digitalization worldwide, growing number of internet users, increasing trend of digital marketing, surge in the acceptance of smartphones and tablets, growing internet penetration even in remote or distant locations, increasing use during COVID-19 pandemic, launch of 5G network facility, rise in hosted service and email marketing providers, growing acceptance of digital literacy and awareness, and cheapening of tariff rates. On the contrary, budget constraints, lack of awareness among SMEs in developing economies, lack of infrastructure in emerging economies, growing security issues, and stringent regulations related to user data privacy may limit the global email marketing market growth over the forecast period. Get a Free Sample @ https //www.marketresearchfuture.com/sample_request/7426 Market Segmentation The MRFR report throws light on an inclusive segmental analysis of the global email marketing market based on industry vertical, deployment mode, organization size, and component. By component, the global email marketing market is segmented into services and solutions. By deployment mode, the global email marketing market is segmented into on-premises and cloud. By organization size, the global email marketing market is segmented into small enterprises, medium-sized enterprises, and large enterprises. Of these, the small and medium sized enterprises will lead the market over the forecast period. By industry vertical, the global email marketing market is segmented into IT and telecom, BFSI, media and entertainment, transportation and logistics, education, food and beverages, travel and hospitality, retail and consumer goods, and others. Regional Analysis By region, the global email marketing market covers the recent trends and growth opportunity across North America, Europe, the Asia Pacific (APAC), and Rest of the World (RoW). Of these, North America will dominate the market over the forecast period. The presence of large number of enterprises, high degree of digitalization, the increase in the application of convenient marketing, and the growing inclination of start-ups towards email marketing are adding to the global email marketing market growth in the region. In Europe, the global email marketing market is predicted to hold the second-largest share over the forecast period for the rise in the number of startups and the penetration of email marketing in different enterprises in the UK. In the APAC region, the global email marketing market is predicted to grow at a fast pace over the forecast period. Rapidly increasing number of enterprises, growing adoption of digital marketing solutions, presence of largest population of email users, the presence of several reputed companies, rapid globalization, the emergence of new companies, fast growing enterprises, and the increasing adoption of various digital marketing solutions by emerging companies are adding to the global email marketing market growth in the region. In RoW, the global email marketing market is predicted to have sound growth over the forecast period. Key Players The leading players profiled in the email marketing market report include Ontraport (US), Mailjet inc. (France), Constant Contact, Inc. (US), AWeber Communications (US), Pinpointe On-Demand, Inc. (US), Kevy (US), Adobe (US), SendinBlue (France), Salesforce.com, inc. (US), ActiveCampaign, LLC (US), Klaviyo (US), HubSpot, Inc. (US), Campaign Monitor (US), Zoho Campaigns (India), and GetResponse (Poland), among others. The global email marketing market is fragmented and also competitive with the presence of many domestic as well as international industry players. They have incorporated assorted strategies to stay at the forefront and also cater to the surging needs of the customers, including collaborations, partnerships, contracts, geographic expansions, new product launches, joint ventures, and more. Additionally, these players are also making heavy investments in research and development activities for strengthening their portfolios and also creating a hold in the market. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/email-marketing-market-7426 Industry Updates April 2021- Amazon is offering email marketing tool to its sellers. Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Markets Structure 3 Market Research Methodology 3.1 Research Process 3.2 Secondary Research 3.3 Primary Research 3.4 Forecast Model Continued… Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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CSS3 【CSS3】これはやばい!覚えなくてもすぐに使える便利なCSS3ジェネレータまとめ。 - NAVER まとめ http //matome.naver.jp/odai/2132750704946539001 手間ひまかけずcss3だけでデザインしたい人のためのチュートリアル集22選 | Webデザインのレシピ http //www.so-network.biz/css/css3_ui/ 画像もFlashも無し! スタイルシートでローディング時のスピナーを生成する -CSS load.net | コリス http //coliss.com/articles/web-services/online-cssload-net.html [CSS]iPadの横向きと縦向きでレイアウトを変更するスタイルシート | コリス http //coliss.com/articles/build-websites/operation/css/css-ipad-layout-with-landscape-portrait-modes-by-matthewjamestaylor.html その他 ブログやウェブサイトですぐに役立つ「.htaccess」の設定のまとめ | コリス http //coliss.com/articles/build-websites/operations/htaccess-files-for-the-rest-of-us-by-net-tutsplus.html
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Market Synopsis The analysis conducted by the data experts of Market Research Future Reports informs that the Marketing Attribution Software Market Analysis is speculated to display a promising CAGR of 15.3% during the assessment period. The increasing demand for optimizing the marketing expenditure of organizations is the most significant factor influencing the global marketing attribution software market 2020. Besides, the increasing adoption of developed technologies like AI is estimated to be a substantial element driving the global market. Moreover, the need for tracking customer behaviour for targeted marketing initiatives is another significant factor leading to market growth. In addition, the software also provides insights to review ROI and gives details with respect to the lead generation. Therefore, demand is estimated to increase swiftly during the review period. However, the security threats related to sensitive data of the organizations is estimated to be a major hindrance in market growth. Also, the expansion of the global marketing attribution software market is projected to be affected significantly due to the outbreak of COVID-19. The daily operations in various regions were put to a halt which immensely affected the manufacturing cycle of the product. Market Segmentation The worldwide marketing attribution software market can be classified on the basis of attribution, component, type, organization size, deployment mode, vertical, and region. Based on attribution type, the global marketing attribution software market can be classified into single-source attribution, multi-source attribution, and probabilistic or algorithmic attribution Based on component, the global marketing attribution software market can be classified into software and services. Based on organization size, the global marketing attribution software market can be classified into large enterprises and small and medium-sized enterprises. Based on deployment mode, the global marketing attribution software market can be classified into the cloud and on-premise. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/7475 Based on vertical, the global marketing attribution software market can be classified into retail, FMCG and consumer packaged goods, consumer electronics, IT telecom, BFSI, healthcare, travel and hospitality, media and entertainment, and others. Based on the region, the global marketing attribution software market can be classified into North America, Europe, Asia-Pacific, Middle East Africa, and South America. Regional Analysis Thorough research has been carried out for North America, Europe, Asia-Pacific, Middle East Africa, and South America. As per the evaluation, the market is projected to expand significantly during the assessment period. Among all regions, the global market is speculated to be dominated by North America. Among all nations in North America, the US and Canada are likely to make the most significant participation during the assessment period. Besides, it also consists of the nations that are technically well-equipped and adopt innovative digital technologies fast. The growing demand for tracking consumer behaviour and preference has resulted in the enlargement of regional market size. Besides, most of the established manufacturers are based out of the US and has a strong customer base. On the other hand, the European market is speculated to expand at the maximum CAGR during the assessment period from 2018 to 2023. The APAC region is speculated to augment substantially during the assessment period due to the presence of various startups which are acting as a market catalyst. Key Players The distinguished market competitors of the worldwide marketing attribution software market are Adobe Inc. (US), Google (US), Visual IQ – A Nielsen Company (US), SAP SE (Germany), Oracle Corporation (US), Analytic Partners, Inc. (US), Calibermind (US), Attribution LLC (US), Engagio (US), Singular (US), Wizaly (France), Rockerbox, Inc. (the US), Neustar, Inc. (the US), OptiMine (US), and Merkle Group Inc. (US), and a few others. Browse Complete Report @ https //www.marketresearchfuture.com/reports/marketing-attribution-software-market-7475 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. 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!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "DTD/xhtml1-transitional.dtd" !-- Japanese Translated by Testing Engineer s Forum (TEF) in Japan, Working Group of TestLink Japanese Translation Project -- html xmlns="http //www.w3.org/1999/xhtml" lang="jp" head !--20070421 - franciscom - using basehref smarty var to build right URLs BUGID 93 - 20050910 - fm--- meta http-equiv="Content-Type" content="text/html; charset=UTF-8" / meta http-equiv="Content-language" content="jp" / meta name="author" content="Martin Havlat" / meta name="copyright" content="GNU" / meta name="robots" content="NOFOLLOW" / title TestLink Help Content /title link rel="stylesheet" type="text/css" href="{$basehref}{$smarty.const.TL_THEME_CSS_DIR}tl_docs.css" / /head body {assign var="dummy" value="lib/general/show_help.php?locale=$locale help="}{assign var="help_launcher" value="$basehref$dummy"} h1 Help 目次 /h1 div id="menu" a href="javascript window.close();" class="tlButton" 閉じる /a a href="javascript history.back();" class="tlButton" 戻る /a /div ul li a href="{$help_launcher}glosary" 用語集 /a /li li a href="{$help_launcher}testproject" テストプロジェクト /a /li li a href="{$help_launcher}metrics" 結果とメトリクス /a /li li a href="{$help_launcher}shortcuts" ショートカット /a /li li a href="{$help_launcher}execMain" テスト実行 /a /li li a href="{$help_launcher}execFilter" テスト実行 - フィルター /a /li li a href="{$help_launcher}printFilter" テスト仕様フィルター /a /li li a href="{$help_launcher}testPlan" テスト計画 /a /li li a href="{$help_launcher}userRights" ユーザ権限 /a /li /ul h1 Instruction pages /h1 ul li a href="{$help_launcher}keywordsAssign" キーワード割り当て /a /li li a href="{$help_launcher}executeTest" テスト実行 /a /li li a href="{$help_launcher}planTesters" テスト計画 - テスター追加 /a /li li a href="{$help_launcher}planAddTC" テスト計画 - テストスイートにテストケース追加 /a /li li a href="{$help_launcher}planOwnerAndPriority" テスト計画 - 優先度 /a /li li a href="{$help_launcher}testSetRemove" テスト計画 - テストスイートからテストケース削除 /a /li li a href="{$help_launcher}planOwnerAndPriority" テスト計画 - 所有権 /a /li li a href="{$help_launcher}browseResults" テストレポートとメトリクス /a /li li a href="{$help_launcher}tcEdit" テスト仕様 - 編集 /a /li li a href="{$help_launcher}tcPrint" テスト仕様 - 印刷 /a /li li a href="{$help_launcher}tcSearch" テスト仕様 - 検索 /a /li /ul /body /html
https://w.atwiki.jp/eriax/pages/121.html
制限 セクション構造からのアウトライン抽出は HTML 4.4.11.1 に準拠。効率は考慮外。 Microdata アイテム抽出は HTML 5.2.5, 5.5.1 に準拠。ただし絶対 URI のチェックはしない。 どちらも抽出するだけ。 使用例 アウトライン var hapi = HTML_Outlines_and_Microdata_for_HTML_Browsers; // 文字列として確認 alert(hapi.createOutlineString(document)); // ul 要素を生成 var toc = hapi.createOutlineList(document); Microdata var hapi = HTML_Outlines_and_Microdata_for_HTML_Browsers; // 文書内のアイテムを JSON で抽出 var items = hapi.findAllItems(document); var jsonData = JSON.stringify(items); ソースコード if ( undefined === typeof Array.prototype.map) { Array.prototype.map = function (callbackfn) { var thisArg = arguments[1]; var result; var count; var i; if ( function !== typeof callbackfn) { throw new Error; } count = this.length; result = new Array(count); for (i = 0; i count; i++) { if (i in this) { result[i] = callbackfn.call(thisArg, this[i], i, this); } } return result; }; } if ( undefined === typeof Array.prototype.indexOf) { Array.prototype.indexOf = function (ceil, floor) { return function (searchElement) { var fromIndex = arguments[1]; var count = this.length; var i = Number(fromIndex) || 0; i = (i 0) ? ceil(i) floor(i); if (i 0) { i += count; } for (; i count; i++) { if (i in this) { if (this[i] === searchElement) { return i; } } } return -1; }; }(Math.ceil, Math.floor); } if ( undefined === typeof Array.prototype.filter) { Array.prototype.filter = function (callbackfn) { var thisArg = arguments[1]; var result; var count; var i; var v; if ( function !== typeof callbackfn) { throw new Error; } count = this.length; result = new Array; for (i = 0; i count; i++) { if (i in this) { if (callbackfn.call(thisArg, v = this[i], i, this)) { result[result.length] = v; } } } return result; }; } //////////////////////////////////////////////////////////////////////// var HTML_Outlines_and_Microdata_for_HTML_Browsers = new function () { /*@cc_on@*/ ////////////////////// // Outlines // var isSectioningContent = function () { var Names = /^(? section|nav|article|aside)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isSectioningRoot = function () { var Names = /^(? body|blockquote|details|fieldset|figure|td)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isHeadingContent = function () { var Names = /^(? h[1-6]|hgroup)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isHeadingGroupContent = function () { var Names = /^hgroup$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var getLevel = function (elt) { if (isHeadingGroupContent(elt)) { return getHeadingGroupLevel(elt); } return getSingleHeadingLevel(elt); }; var getSingleHeadingLevel = function (elt) { return parseInt(elt.tagName.slice(-1)); }; var getHeadingGroupLevel = function (elt) { var maxLevel = Infinity; var currentLevel; var nodes = elt.childNodes; var node; var i; for (i = 0; node = nodes[i++];) { if (isHeadingContent(node)) { currentLevel = getSingleHeadingLevel(node); if (currentLevel maxLevel) { maxLevel = currentLevel; } } } return maxLevel; }; // function HTMLOutlinee(arg) { if (arguments.length 0) { if (arg) { var p; for (p in arg) { if (arg.hasOwnProperty(p)) { this[p] = arg[p]; } } } } } HTMLOutlinee.create = function (element) { return new HTMLOutlinee({ element element, sections [], parent null }); }; HTMLOutlinee.prototype = new function () { this.element = null; this.sections = null; this.parent = null; this.type = #outlinee ; this.addSection = function (section) { this.sections.push(section); section.outlinee = this; return section; }; this.getFirstSection = function () { return this.sections[0]; }; this.getLastSection = function () { var sections = this.sections; return sections[sections.length - 1]; }; this.toString = function () { return [object HTMLOutlinee] ; }; }; function HTMLSection(arg) { if (arguments.length 0) { if (arg) { var p; for (p in arg) { if (arg.hasOwnProperty(p)) { this[p] = arg[p]; } } } } } HTMLSection.create = function (heading, parent, outlinee) { return new HTMLSection({ heading heading, parent parent, children [], outlinee outlinee, associated [] }); }; (function () { this.heading = null; this.parent = null; this.children = null; this.outlinee = null; this.associated = null; this.type = #section ; this.appendChild = function (div) { this.children.push(div); div.parent = this; return div; }; this.hasChildSections = function () { var nodes = this.children; var nodeCount = nodes.length; var i; for (i = 0; i nodeCount; i++) { if (nodes[i] instanceof HTMLSection) { return true; } } return false; }; this.getLastSection = function () { var nodes = this.children; var nodeCount = nodes.length; var node; var i; for (i = nodeCount; i 0;) { node = nodes[i -= 1]; if (node instanceof HTMLSection) { return node; } } return null; }; this.associate = function (node) { this.associated.push(node); return node; }; this.toString = function () { return [object HTMLSection] ; }; }).call(HTMLSection.prototype); function createOutlinee(root) { var currentOutlinee = null; var currentSection = null; var stack = []; (function (root, callbackfn) { var node = root; var n; while (node) { callbackfn(node, enter ); if ((n = node.firstChild)) { node = n; continue; } do { callbackfn(node, exit ); if (node == root) { node = null; break; } if ((n = node.nextSibling)) { node = n; break; } } while ((node = node.parentNode)) } })(root, function (node, mode) { var top = stack[stack.length - 1]; if (top === node mode === exit ) { stack.pop(); } else if (isHeadingContent(top)) { ; } else if (mode === enter (isSectioningContent(node) || isSectioningRoot(node))) { if (currentOutlinee !== null currentSection.heading === null) { currentSection.heading = undefined; } if (currentOutlinee !== null) { stack.push(currentOutlinee); } currentOutlinee = HTMLOutlinee.create(node); currentSection = HTMLSection.create(null, currentSection, currentOutlinee); currentOutlinee.addSection(currentSection); } else if (mode === exit (isSectioningContent(node) stack.length 0)) { var outlinee = currentOutlinee; currentOutlinee = stack.pop(); currentSection = currentOutlinee.getLastSection(); currentSection.appendChild(outlinee); } else if (mode === exit (isSectioningRoot(node) stack.length 0)) { var outlinee = currentOutlinee; currentOutlinee = stack.pop(); currentSection = currentOutlinee.getLastSection(); while (currentSection.hasChildSections()) { currentSection = currentSection.getLastSection(); } currentSection.appendChild(outlinee); } else if (mode === exit (isSectioningContent(node) || isSectioningRoot(node))) { currentSection = currentOutlinee.getFirstSection(); } else if (currentOutlinee === null) {} else if (mode === enter isHeadingContent(node)) { if (currentSection.heading == null) { currentSection.heading = node; } else if (getLevel(node) = getLevel(currentOutlinee.getLastSection().heading)) { currentSection = currentOutlinee.addSection(HTMLSection.create(node, currentSection.parent, currentOutlinee)); } else { var candidateSection = currentSection; while (true) { if (getLevel(node) getLevel(candidateSection.heading)) { currentSection = candidateSection.appendChild(HTMLSection.create(node, candidateSection.parent, currentOutlinee)); break; } var newCandidateSection = candidateSection.parent; candidateSection = newCandidateSection; } } stack.push(node); } else {} if (mode === exit currentSection !== null) { currentSection.associate(node); } }); if (currentOutlinee === null) { return null; } return currentOutlinee; } var getTextContent = function (n) { switch (n.nodeType) { case 1 if (/^img$/i.test(n.nodeName)) { return n.alt; } if (/^input$/i.test(n.nodeName)) { return n.value; } return Array.prototype.concat.apply([], Array.prototype.map.call(n.childNodes, arguments.callee)).join( ); case 3 case 4 return n.data; default return ; } }; (function () { this.isSectioningRoot = function () { return isSectioningRoot(this.element); }; this.hasEffectiveSections = function () { var sections = this.sections; var section; switch (sections.length) { case 0 return false; case 1 return sections[0].isEffectiveSection(); default return true; } }; this.toJSON = function (internal) { var children = []; var sections = this.sections; var sectionCount = sections.length; var i; for (i = 0; i sectionCount; i++) { children = children.concat(sections[i].toJSON(true)); } if (internal !this.isSectioningRoot()) { return children; } return { type #root , context this.element.tagName, children children }; }; }).call(HTMLOutlinee.prototype); (function () { this.isEffectiveSection = function () { return isSectioningContent(this.outlinee.element) || this.hasChildSections() || this.heading !== null; }; this.toJSON = function () { var heading = this.heading; var tagName = this.outlinee.element.tagName; var id; var label; if (heading) { id = heading.id; label = getTextContent(heading); } else { if (heading === null) { label = (anonymous\x20 + tagName + ) ; } else { label = (undefined\x20 + tagName + ) ; } } var children = this.children; var childCount = children.length; var result = []; var i; for (i = 0; i childCount; i++) { result = result.concat(children[i].toJSON(true)); } return { context tagName, type #section , id id, label label, children result }; }; }).call(HTMLSection.prototype); // var outlineToList = function (jsonData, params) { var doc = params.ownerDocument; var list0 = doc.createElement(params.tagName || ul ); var item0 = doc.createElement( li ); var frag0 = doc.createDocumentFragment(); item0.appendChild(doc.createElement( a )).appendChild(doc.createTextNode( _ )); return (function (data) { var list; var item; var frag = frag0.cloneNode(false); var children = data.children; var childCount = children.length; var child; var i; var n; var s; if (childCount 0) { for (i = 0; i childCount; i++) { child = children[i]; item = item0.cloneNode(true); n = item.firstChild; if (child.type === #section ) { if ((s = child.id)) { n.href = # + encodeURIComponent(s); } n.firstChild.data = child.label; frag.appendChild(item); frag.appendChild(arguments.callee(child)); } } list = list0.cloneNode(false); list.appendChild(frag); } else { list = frag; } return list; })(jsonData); }; this.createOutlineList = function (root, doc) { var outlinee = createOutlinee(root); if (!doc) { doc = (root.nodeType === 9) ? root root.ownerDocument; } return outlineToList(outlinee.toJSON(), { ownerDocument doc, tagName ul }); }; var outlineToString = function (jsonData, level) { var tab = 2; if (!level) { level = 1; } var padding; var result = []; if (jsonData.type === #root ) { padding = new Array(level).join( \x20\x20 ) + = ; result.push(padding + [ + jsonData.context + ] ); level += tab; } var children = jsonData.children; var childCount = children.length; var child; var i; var c; if (childCount 0) { padding = new Array(level).join( \x20\x20 ) + + ; for (i = 0; i childCount; i++) { child = children[i]; if (child.type === #section ) { result.push(padding + [ + child.context + ] + child.label.replace(/^\s+|\s+$/g, ).replace(/(? \r\n|\r|\n)+/g, -- ).replace(/\s{2,}/g, \x20 )); } if ((c = arguments.callee(child, level + tab))) { result.push(c); } } } return result.join( \n ); }; this.createOutlineString = function (root) { var outlinee = createOutlinee(root); return outlineToString (outlinee.toJSON()); }; ////////////////////// // Microdata // var findItemProperties = function (root) { var push = Array.prototype.push; var filter = Array.prototype.filter; var isElement = function (n) { return n.nodeType === 1; }; var results = []; var memory = []; var pending = []; results.push(root); push.apply(pending, filter.call(root.childNodes, isElement)); /*@if(1)var a;if((a=root.getAttributeNode( itemref )) a.specified){@else@*/ if (root.hasAttribute( itemref )) { /*@end@*/ var refs; var TrailWS = /^\s+|\s+$/g; var WS = /\s+/; if ((refs = root.getAttribute( itemref /*@,0@*/)) (refs = refs.replace(TrailWS, ))) { refs = refs.split(WS); var refCount = refs.length; var doc = root.ownerDocument; var m; var i; for (i = 0; i refCount; i++) { if ((m = doc.getElementById(refs[i]))) { pending.push(m); } } } } while (pending.length 0) { var current = pending.shift(); if (memory.indexOf(current) = 0) { continue; } memory.push(current); /*@if(1)var a;if(!(a=current.getAttributeNode( itemscope ))||!a.specified){@else@*/ if (!current.hasAttribute( itemscope )) { /*@end@*/ push.apply(pending, filter.call(current.childNodes, isElement)); } /*@if(1)var a;if((a=current.getAttributeNode( itemprop )) a.specified){@else@*/ if (current.hasAttribute( itemprop )) { /*@end@*/ results.push(current); } } if ( undefined !== typeof root.compareDocumentPosition) { results.sort(function (e1, e2) { if (e1.isSameNode(e2)) { return 0; } if (0 !== (e1.compareDocumentPosition(e2) Node.DOCUMENT_POSITION_FOLLOWING)) { return -1; } return 1; }); } else { /*@if(1)results.sort(function(e1,e2){return e1.sourceIndex-e2.sourceIndex});@else@*/ var r1 = root.ownerDocument.createRange(); var r2 = root.ownerDocument.createRange(); results.sort(function (e1, e2) { r1.selectNode(e1); r2.selectNode(e2); return r1.compareBoundaryPoints(Range.START_TO_START, r2); }); /*@end@*/ } return results; }; var findAllItems_JSON = function (root) { var result = {}; var items = []; var elems = root.getElementsByTagName( * ); var elemCount = elems.length; var elem; var i; for (i = 0; i elemCount; i++) { elem = elems[i]; /*@if(1)var a;if(elem.nodeType===1 (a=elem.getAttributeNode( itemscope )) a.specified){@else@*/ if (elem.hasAttribute( itemscope )) { /*@end@*/ items.push(getObject_JSON(elem, [])); } } result[ items ] = items; return result; }; var getObject_JSON = function (item, memory) { var result = {}; memory.push(item); /*@if(1)var a;if((a=item.getAttributeNode( itemtype )) a.specified){@else@*/ if (item.hasAttribute( itemtype )) { /*@end@*/ result[ type ] = item.getAttribute( itemtype /*@,0@*/ ); } /*@if(1)var a;if((a=item.getAttributeNode( itemid )) a.specified){@else@*/ if (item.hasAttribute( itemid )) { /*@end@*/ result[ id ] = item.getAttribute( itemid /*@,0@*/ ); } var properties = {}; var elems = findItemProperties(item); var elemCount = elems.length; var elem; var i; var TrailWS = /^\s+|\s+$/g; var WS = /\s+/; for (i = 0; i elemCount; i++) { elem = elems[i]; /*@if(1)var a;if(!(a=elem.getAttributeNode( itemprop ))||!a.specified){@else@*/ if (!elem.hasAttribute( itemprop )) { /*@end@*/ continue; } var names = elem.getAttribute( itemprop /*@,0@*/ ).replace(TrailWS, ); if (!names) { continue; } names = names.split(WS); var value; /*@if(1)var a;if((a=elem.getAttributeNode( itemscope )) a.specified){@else@*/ if (elem.hasAttribute( itemscope )) { /*@end@*/ if (memory.indexOf(elem) 0) { value = getObject_JSON(elem, memory); } else { value = ERROR ; } } else { switch (elem.tagName.toUpperCase()) { case META value = elem.content || ; break; case EMBED case IFRAME case IMG value = elem.src || ; break; case AUDIO case SOURCE case TRACK case VIDEO value = elem.src; if ( undefined === typeof value) { value = elem.getAttribute( src /*@,0@*/ ) || ; } break; case A case AREA case LINK value = elem.href; break; case OBJECT value = elem.data; break; case TIME value = elem.dateTime; if ( undefined === typeof value) { value = elem.getAttribute( datetime /*@,0@*/ ) || ; } break; default /*@if(1)var s;if( undefined !==typeof(s=elem.innerText)){value=s}@else@*/ value = elem.textContent; /*@end@*/ break; } } var nameCount = names.length; var name; var j; for (j = 0; j nameCount; j++) { name = names[j]; if (properties.hasOwnProperty(name)) { properties[name].push(value); } else { properties[name] = [value]; } } } result[ properties ] = properties; return result; }; this.findAllItems = findAllItems_JSON; }; 初出 2011-09-04/05 修正 2012-03-05
https://w.atwiki.jp/nicepaper/pages/70.html
HTMLとCSSについての記事一覧です。 目次 HTML5とCSS3とは HTML5の宣言文 html5+css3で基本的なページをつくってみよう!① html5+css3で基本的なページをつくってみよう!② headに入れる要素について HTML5で登場する新タグ(新要素) header margin、border、paddingの違いについて CSSのリセット 擬似要素before,afterの使い方 各ブラウザにおけるcss内のfont-familyの挙動 文中の文字の一部のみを指定する場合 HTML5でのタグ使用の注意点 インライン要素とブロックレベル要素(ブロック要素) CSSでmarginプロパティが効かない時の対策 boxの配置方法 divのboxの上にさらにboxを追加し、回転させる tableとlistについて レスポンシブWebデザインについて HTMLとCSSで使う数字の単位の関係 HTMLの細かい文法事項 CSS3の基本 テキストに影を付けるtext-shadow ベンダープレフィックスとは CSSで角丸にするborder-radius URLを使って特定のファイル閲覧(絶対パスと相対パス) CSSで見出しデザイン1 CSSで見出しデザイン2 Googleマップ、YouTube、電話番号(スマートフォン用)を埋め込む方法 表(table)の作り方 背景画像をブラウザいっぱいに表示しているCSS記述方法 CSSでグラデーションその1 CSSデザインのための色の基礎知識 CSSでページを常に中央に表示させて、拡大縮小しても崩れないようにする。 CSS3で画像をフェードインさせたりする。 画像(ボタンの画像)を使用したメニューの作成 font-family(フォントの種類) CSSのline-heightで単位を指定してはいけないのか? 疑似要素 まとめ CSS3で画像を領域内に上下中央でフィットさせる方法 CSSで文字やテキストを上下中央の中心揃えにする方法 vertical-alignが効かないときの対策 CSSを確実に読み込む方法 ふんわりと色を変えることができるtransitionプロパティ transformプロパティ 段組みに関するCSSプロパティ CSSでのid名やclass名の付け方 レスポンシブデザインとスマホで確認した時の落とし穴 簡単なformの作り方 CSSで直下の子要素のみに適用させたい場合の記述方法 liタグの中にddが複数ある際の改行処理~インデントを1つ目のddに揃えたい~ シマシマのテーブルを作る。 CSSでフォントを指定する CSSでフォントをちょっとした工夫をして見やすくするver1 CSSでフォントをちょっとした工夫をして見やすくするver2 CSSでフォントをちょっとした工夫をして見やすくするver3 黄金比でフォントサイズをデザインする リスト横並びデザイン1 sectionタグで読み込むCSSを限定する 今風のfont-familyをあつめてみた CSSでclearfix CSSで隣接セレクタを使い、見出しタグ(h1)タグとpタグの間を設定する CSS3のarticleタグと隣接セレクターを使って間隔を調整 HTMLで文字を実体参照する。 TwitterをHTMLに埋め込む方法 レスポンシブWEBデザインテンプレート(スタイルシートで複数記述編) HTMLとCSSで進捗バーを作る1 HTMLとCSSで進捗バーを作る2 HTMLタグをデバイスごとに、javascriptとjQueryで振り分け WEB制作のためのIE対策1~バージョンごとの表示を確認する~ CSSで縦書き開発1 CSSで縦書き開発2~PHPとHTML5とCSS3で漢字学習システムのレイアウト作り~ 他カテゴリと混在のもの WEBの画像をラスターデータからベクターデータにする HTMLタグをデバイスごとに、javascriptとjQueryで振り分け