Data Visualisation with D3 & Rickshaw - Berlin Expert Days

Apr 3, 20145 likes3,472 views

How to visualisae data with D3 & Rickshaw. In this talk I share my experience of building Server Density's time series graphs usng the javascript libraries: D3 & Rickshaw. I Cover: * Why I think Data Visualisation is important * How to get started with D3 & Rickshaw * Why I think D3 and Rickshaw are fantastic libraries * The mistakes I made and how to avoid them.

Data Visualisation with D3 & Rickshaw - Berlin Expert Days

30 TB of data per month!
2 billion documents a day
http://bit.ly/30TB-pm

1. D3!
2. Rickshaw!
3. Rickshaw ++!
4. The BIG Lesson!

jsbin.com/gola?ye/1/edit?
html,js,output

https://github.com/mbostock/d3/wiki/Layouts
Layouts

alignedleft.com/tutorials/d3/!
!
github.com/mbostock/d3/wiki/Gallery!
!
github.com/mbostock/d3/wiki/Tutorials!
!
@mbostock

“Above all else !
show the data”
Edward Rolf Tufte, 1983

Tick Every No of Ticks Date Format
30 minutes 2 minutes 15 HH:mm
1 hour 5 minutes 12 HH:mm
24 hours 2 Hours 12 HH:mm
> 24 hours Dynamic 15 D MMM YYY

“A state of joy, creativity !
and total involvement !
in which problems !
seem to disappear”
Mihaly Csikszentmihalyi

1. Intuitive interfaces!
2. Forgiving work?ows!
3. Attractive designs!
4. Personality!
5. And avoiding…

1. Missing X & Y Data!
2. Badly ordered dates!
3. Duplicate X Values!
4. X Values too close!
5. Missing Series Names

@serverdensity
@byrichardpowell
Monitor servers & websites
Con?gure Alerts
Manage your infrastructure

Why is writing React.JS code so simple? Why had writing Backbone.JS code become difficult for us at Server Density. What does this say us about good code vs great code? In this presentation I cover 3 important concepts: * Code simplicity vs complexity * Code predictability * Composability Using real-world example I'll share what our 16 month journey migrating a large Backbone codebase, to a large React codebase has taught us.

Designing user on-boardingRichard Powell

Real-time collaborative drawingRichard Powell

This document describes how to build a real-time collaborative drawing application using Node.js, Express.js, Socket.io, and Paper.js. It explains that Express serves the HTML canvas, Paper.js intercepts draw events and draws locally, Socket.io passes draw data to Express which broadcasts it to other users, and Paper.js uses sessionIds to draw other users' paths and maintain separate drawings. It also provides instructions for deploying the application to Nodejitsu.

Draw stuff at @jsnortheastRichard Powell

The document describes how to create a real-time collaborative drawing application using Node.js, Express, Socket.io, and Paper.js. It explains how to install and set up the necessary technologies, handle mouse events to draw on a canvas, send drawing data to other users via Socket.io events, and receive and render drawings from other users in real-time. Key aspects covered include setting up an Express server, connecting Socket.io for real-time functionality, serializing drawing paths to JSON, and processing incoming events to update drawings across clients.

Real time metrics with rickshaw and nodejsHakka Labs

Rickshaw is a JavaScript toolkit for creating interactive time series graphs. Rickshaw allows you to build interactive time series d3.js charts. ntf is a suite of components to make it easy to test and monitor the state of your network services and applications. ntf is a network testing framework written in Node.js. lil-brother helps Shutterstock understand how their customers are interacting with their site. Written in Node.js Lil-Brother tracks clicks on web pages, without blocking any interaction.

Data Science with SparkKrishna Sankar

Data Tactics Analytics Brown Bag (November 2013)Rich Heimann

This document summarizes a brown bag presentation on analytics by Data Tactics Corporation. It introduces new analytic tools from the company including work on cyber intelligence and detection, the open source RAccumulo library, and Data Science for Program Managers. Case studies on discontinuities analysis and data science in Afghanistan are also mentioned. The document concludes by discussing the Shiny tool for building interactive web apps in R and providing contact information.

Spingy campRob Nunez

The document discusses Marquette University's customization of their LibCal reservation system over multiple versions. It describes how they built on a Bootstrap CSS framework and added jQuery plugins to create a responsive design with social media integration. Code snippets show how they used CSS gradients and responsive resizing. Future plans include expanding the "kiosk mode" and making additional improvements. The summary outlines the topic, key aspects of the multiple versions created, and a mention of future planned work.

Python + NoSQL in AnimationsShuen-Huei Guan

This document discusses using Python in the animation industry. It describes how one person learned Python while working in animation. It also discusses using Python in Maya for animation work. The document then talks about building an animation pipeline using Python and ideas like version control, asset management databases, and behavior logging to analyze user interactions. It considers options like CouchDB and MongoDB for managing asset data and user behavior logs. Finally, it emphasizes that version control, databases, and cloud techniques can benefit many creative roles beyond just programmers.

Linked data in actionRurik Thomas Greenall

Real-time Semantic Web with Twitter AnnotationsJoshua Shinavier

This document discusses adding semantic structure to real-time social data from Twitter through Twitter Annotations. It describes how Annotations can be mapped to existing Semantic Web vocabularies and linked to datasets to enable real-time semantic search over social and linked data. A system called TwitLogic is presented that captures Twitter data, converts it to RDF, and publishes it as linked streams to allow for continuous querying and integration with the live Semantic Web.

Docker & Containers for Big Data, Data Science, Machine Learning & Deep LearningRui Quintino

PortoData Meetup http://www.portodata.net/xxxi-evento-porto-data-25-maio-2017-uptec/ Docker e Containers s?o das tecnologias atuais com maior crescimento e aceita??o. Depois de um breve refresh ao Docker e vantagens dos containers, vamos ver casos práticos de como o Docker pode ajudar em workloads de desenvolvimento, testes ou mesmo produ??o para Big Data, Data Science, Machine Learning ou mesmo Deep Learning. Seja no posto de trabalho, on-prem ou Azure. Por último a facilidade de cria??o de clusters com Docker Swarm.

Visdjango presentation django_boston_oct_2014jlbaldwin

Buildingplatformscodebits

HTML5 and the web of tomorrow!Christian Heilmann

Economies of Scaling SoftwareJoshua Long

The document discusses strategies for building scalable applications. It introduces the concept of a "scale cube" with three axes: horizontal duplication for scaling stateless apps, data partitioning, and bounded contexts. It provides examples of using various technologies like RabbitMQ, Redis, MongoDB, Neo4j, Couchbase, Hadoop, and Spring XD to address different areas of the scale cube. The document emphasizes that building adaptive, scalable applications is challenging and recommends approaches like microservices and separating applications into bounded contexts.

Schema.org extension for biological database @ Biohackathon2013Maori Ito

Making sense out of things on the webPradeep Varadaraja Banavara

This document provides an overview of the evolution of information and technology over time. It begins with ancient symbols and manuscripts, then discusses the development of the telegraph, telephone, radio, and early computers. It outlines the creation of the internet and the world wide web, and how they led to an explosion of information sharing. The document discusses challenges of information overload and different search technologies and services that have been developed to help users find relevant information. It promotes the use of the BOSS API and other tools to build custom search applications and solutions.

AIC x PyLadies TW Python Data Vis - 2: Plot packagesYi-Chih Tsai

All Mashed Up - A HTML5 Mashup StoryNazrul Kamaruddin

Troubleshooting SEO for JS Frameworks - Patrick Stox - DTD 2018patrickstox

Ontologies & linked open dataJo?o Rocha da Silva

This document provides an overview of ontologies and linked open data, including some real-world applications. It discusses how ontologies add semantics to data storage and querying by defining types of entities and their relationships. Popular ontologies like DCTerms and FOAF are mentioned. Examples of linked open data in the Facebook API and DBpedia are provided. The differences between relational and graph databases are outlined. SPARQL is introduced as the query language for graph databases, and Virtuoso is presented as an example of a non-relational, graph database.

Distributed Deep Learning At Scale On Apache Spark With BigDLYulia Tell

This document provides an agenda and details for a co-hosted meetup between Intel and Databricks on March 23, 2017 about BigDL. The agenda includes opening remarks, two tech talks (one from Intel and one from Databricks), and a mingling session. It also provides WiFi access details and background on Intel's Big Data Technologies group and BigDL. BigDL is an open-source distributed deep learning library for Apache Spark that allows users to run deep learning applications on Spark.

LeapMotion for Web with React and FluxLaura Moore

Stefan Judis "Did we(b development) lose the right direction?"Fwdays

Keeping up with the state of web technology is one of the biggest challenges for us developers today. We invent new tools; we define new best practices, everything’s new, always... And we do all that for good user experience! We do all that to build the best possible web – it’s all about our users. But is it, really? Or do developers like to play with technology secretly loving the new and shiny? Or do we only pretend that it’s about users, and behind closed doors, it’s developer experience that matters to us? Did we lose direction? Is it time for a critical look at the state of the web and the role JavaScript plays in it?

CODE BLUE 2014 : マイクロソフトの脆弱性調査 : ベンダーでありながら発見者となるために by デイヴィッド?シードマン David Se...CODE BLUE

当マイクロソフトでは、社員がしばしば他のベンダー製品のセキュリティ上の問題を発見しており、その原因となるバグの修正のためには、製品のベンダーと一緒に解決を図る協調的な取り組みが必要であることを訴えている。マイクロソフト脆弱性調査 (MSVR) は、企業や研究者が脆弱性を発見し報告する際、マイクロソフトの対応方法を参考としてもらうことを支援するために制定された。MSVRは、この事前対策プログラムのライフタイムの間に重要なソフトウェア中の多数の脆弱性を修正する社内のバグハンターと協力するために重要な役割を演じてきている。我々のやり方を知れば、貴社で同様の脆弱性コーディネーションプログラムをどのように始めればよいか分かるだろう。この講演では、MSVRの立ち上げ時の詳細な過程と、MSVRと同様の集中型プログラムを制定したい組織のための方法を取りあげる。弊社の技術者が発見しMSVRを通し報告したいくつかの脆弱性を技術的な点からベンダーと協力して脆弱性を修正し、その後、脆弱性に関するアドバイザリーを発行するまでを通しで説明する。

Valkey 101 - SCaLE 22x March 2025 Stokes.pdfDave Stokes

Class 3-Workforce profile updated P.pptxangelananalucky

More Related Content

Similar to Data Visualisation with D3 & Rickshaw - Berlin Expert Days (20)

Data Tactics Analytics Brown Bag (November 2013)Rich Heimann

Spingy campRob Nunez

Python + NoSQL in AnimationsShuen-Huei Guan

Linked data in actionRurik Thomas Greenall

Real-time Semantic Web with Twitter AnnotationsJoshua Shinavier

Docker & Containers for Big Data, Data Science, Machine Learning & Deep LearningRui Quintino

Visdjango presentation django_boston_oct_2014jlbaldwin

Buildingplatformscodebits

HTML5 and the web of tomorrow!Christian Heilmann

Economies of Scaling SoftwareJoshua Long

Schema.org extension for biological database @ Biohackathon2013Maori Ito

Making sense out of things on the webPradeep Varadaraja Banavara

AIC x PyLadies TW Python Data Vis - 2: Plot packagesYi-Chih Tsai

All Mashed Up - A HTML5 Mashup StoryNazrul Kamaruddin

Troubleshooting SEO for JS Frameworks - Patrick Stox - DTD 2018patrickstox

Ontologies & linked open dataJo?o Rocha da Silva

Distributed Deep Learning At Scale On Apache Spark With BigDLYulia Tell

LeapMotion for Web with React and FluxLaura Moore

Stefan Judis "Did we(b development) lose the right direction?"Fwdays

CODE BLUE 2014 : マイクロソフトの脆弱性調査 : ベンダーでありながら発見者となるために by デイヴィッド?シードマン David Se...CODE BLUE

Data Tactics Analytics Brown Bag (November 2013)Rich Heimann

Spingy campRob Nunez

Python + NoSQL in AnimationsShuen-Huei Guan

Linked data in actionRurik Thomas Greenall

Real-time Semantic Web with Twitter AnnotationsJoshua Shinavier

Docker & Containers for Big Data, Data Science, Machine Learning & Deep LearningRui Quintino

Visdjango presentation django_boston_oct_2014jlbaldwin

Buildingplatformscodebits

HTML5 and the web of tomorrow!Christian Heilmann

Economies of Scaling SoftwareJoshua Long

Schema.org extension for biological database @ Biohackathon2013Maori Ito

Making sense out of things on the webPradeep Varadaraja Banavara

AIC x PyLadies TW Python Data Vis - 2: Plot packagesYi-Chih Tsai

All Mashed Up - A HTML5 Mashup StoryNazrul Kamaruddin

Troubleshooting SEO for JS Frameworks - Patrick Stox - DTD 2018patrickstox

Ontologies & linked open dataJo?o Rocha da Silva

Distributed Deep Learning At Scale On Apache Spark With BigDLYulia Tell

LeapMotion for Web with React and FluxLaura Moore

Stefan Judis "Did we(b development) lose the right direction?"Fwdays

CODE BLUE 2014 : マイクロソフトの脆弱性調査 : ベンダーでありながら発見者となるために by デイヴィッド?シードマン David Se...CODE BLUE

Recently uploaded (20)

Valkey 101 - SCaLE 22x March 2025 Stokes.pdfDave Stokes

Class 3-Workforce profile updated P.pptxangelananalucky

Hire Android App Developers in India with Cerebraixcerebraixs

Presentation.2 .reversal. reversal. pptxsiliaselim87

Optimizing Common Table Expressions in Apache Hive with CalciteStamatis Zampetakis

In many real-world queries, certain expressions may appear multiple times, requiring repeated computations to construct the final result. These recurring computations, known as common table expressions (CTEs), can be explicitly defined in SQL queries using the WITH clause or implicitly derived through transformation rules. Identifying and leveraging CTEs is essential for reducing the cost of executing complex queries and is a critical component of modern data management systems. Apache Hive, a SQL-based data management system, provides powerful mechanisms to detect and exploit CTEs through heuristic and cost-based optimization techniques. This talk delves into the internals of Hive's planner, focusing on its integration with Apache Calcite for CTE optimization. We will begin with a high-level overview of Hive's planner architecture and its reliance on Calcite in various planning phases. The discussion will then shift to the CTE rewriting phase, highlighting key Calcite concepts and demonstrating how they are employed to optimize CTEs effectively.

Data-Models-in-DBMS-An-Overview.pptx.pptxhfebxtveyjxavhx

The Marketability of Rice Straw Yarn Among Selected Customers of Gantsilyo Gurukenyoncenteno12

2024-07-eb-big-book-of-data-engineering-3rd-edition.pdfAlexandreMacedo50

Media Audiogahwhwhjwjwjwjjwjwjwhwhwjwhwhwcarbsmichael

[aon_presentation EN] global_job_leveling .pdfssuser87c19a

加拿大成绩单购买原版(鲍颁毕业证书)卡尔加里大学毕业证文凭taqyed

官方办理文凭加拿大文凭购买，加拿大文凭定制，加拿大卡尔加里大学文凭补办【q薇1954292140】专业在线定制加拿大大学文凭可查文凭定购，定做加拿大本科文凭，【q薇1954292140】复制加拿大The University of Calgary completion letter。在线快速补办加拿大本科毕业证、硕士文凭证书，购买加拿大学位证、卡尔加里大学Offer，加拿大大学文凭在线购买。高仿真还原加拿大文凭证书和外壳，定制加拿大卡尔加里大学成绩单和信封。学历认证购买UC毕业证【q薇1954292140】办理加拿大卡尔加里大学毕业证(UC毕业证书)【q薇1954292140】毕业证书电子版卡尔加里大学offer/学位证毕业证样本、留信官方学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作。帮你解决卡尔加里大学学历学位认证难题。特殊原因导致无法毕业，也可以联系我们帮您办理相关材料：１：在卡尔加里大学挂科了，不想读了，成绩不理想怎么办？？？ 2：打算回国了，找工作的时候，需要提供认证《UC成绩单购买办理卡尔加里大学毕业证书范本》【Q/WeChat：1954292140】Buy The University of Calgary Diploma《正式成绩单论文没过》有文凭却得不到认证。又该怎么办？？？加拿大毕业证购买，加拿大文凭购买， 3：回国了找工作没有卡尔加里大学文凭怎么办？有本科却要求硕士又怎么办？帮您解决在加拿大卡尔加里大学未毕业难题（The University of Calgary）文凭购买、毕业证购买、大学文凭购买、大学毕业证购买、买文凭、日韩文凭、英国大学文凭、美国大学文凭、澳洲大学文凭、加拿大大学文凭（q薇1954292140）新加坡大学文凭、新西兰大学文凭、爱尔兰文凭、西班牙文凭、德国文凭、教育部认证，买毕业证，毕业证购买，买大学文凭，购买日韩毕业证、英国大学毕业证、美国大学毕业证、澳洲大学毕业证、加拿大大学毕业证（q薇1954292140）新加坡大学毕业证、新西兰大学毕业证、爱尔兰毕业证、西班牙毕业证、德国毕业证，回国证明，留信网认证，留信认证办理，学历认证。从而完成就业。如果您在英、加、美、澳、欧洲等留学过程中或回国后： 1、在校期间因各种原因未能顺利毕业《UC成绩单工艺详解》【Q/WeChat：1954292140】《Buy The University of Calgary Transcript快速办理卡尔加里大学教育部学历认证书毕业文凭证书》，拿不到官方毕业证； 2、面对父母的压力，希望尽快拿到； 3、不清楚认证流程以及材料该如何准备； 4、回国时间很长，忘记办理； 5、回国马上就要找工作《正式成绩单卡尔加里大学成绩单COPY》【q薇1954292140】《毕业证如何办理UC毕业证如何办理》办给用人单位看；　　 6、企事业单位必须要求办理的； 7、需要报考公务员、购买免税车、落转户口、申请留学生创业基金。加拿大文凭卡尔加里大学成绩单，UC毕业证【q薇1954292140】办理加拿大卡尔加里大学毕业证(UC毕业证书)【q薇1954292140】国外本科offer在线制作卡尔加里大学offer/学位证学历认证证书电子版、留信官方学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作。帮你解决卡尔加里大学学历学位认证难题。【q薇1954292140】办理卡尔加里大学毕业证(UC毕业证书)学位证书成绩单代办服务【q薇1954292140】卡尔加里大学offer/学位证、留信官方学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作加拿大卡尔加里大学毕业证(UC毕业证书)学位证书成绩单代办服务主营项目： 1、真实教育部国外学历学位认证《加拿大毕业文凭证书快速办理卡尔加里大学文凭样本》【q薇1954292140】《论文没过卡尔加里大学正式成绩单》，教育部存档，教育部留服网站100%可查. 2、办理UC毕业证，改成绩单《UC毕业证明办理卡尔加里大学留学生学历学位认证书》【Q/WeChat：1954292140】Buy The University of Calgary Certificates《正式成绩单论文没过》，卡尔加里大学Offer、在读证明、学生卡、信封、证明信等全套材料，从防伪到印刷，从水印到钢印烫金，高精仿度跟学校原版100%相同. 3、真实使馆认证（即留学人员回国证明），使馆存档可通过大使馆查询确认. 4、留信网认证，国家专业人才认证中心颁发入库证书，留信网存档可查. 《卡尔加里大学揭秘加拿大毕业证书办理UC成绩单温感光标》【q薇1954292140】学位证1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。毕业证办理的详细过程加拿大文凭卡尔加里大学成绩单【q薇1954292140】复刻成绩单加拿大卡尔加里大学毕业证(UC毕业证书)毕业证详解细节卡尔加里大学毕业证办理，极速办加拿大卡尔加里大学文凭办理，加拿大卡尔加里大学成绩单办理和真实留信认证、留服认证、卡尔加里大学学历认证。学院文凭定制，卡尔加里大学原版文凭补办，扫描件文凭定做，100%文凭复刻。【q薇1954292140】Buy The University of Calgary Diploma购买美国毕业证，购买英国毕业证，购买澳洲毕业证，购买加拿大毕业证，以及德国毕业证，购买法国毕业证（q薇1954292140）购买荷兰毕业证、购买瑞士毕业证、购买日本毕业证、购买韩国毕业证、购买新西兰毕业证、购买新加坡毕业证、购买西班牙毕业证、购买马来西亚毕业证等。包括了本科毕业证，硕士毕业证。留信认证的作用： 1. 身份认证：留信认证可以证明你的留学经历是真实的，且你获得的学历或学位是正规且经过认证的。这对于一些用人单位来说，尤其是对留学经历有高度要求的公司（如跨国公司或国内高端公司），这是非常重要的一个凭证。专业评定：留信认证不仅认证你的学位证书，还会对你的所学专业进行评定。这有助于展示你的学术背景，特别是对于国内公司而言，能够清楚了解你所学专业的水平和价值。国家人才库入库：认证后，你的信息将被纳入国家人才库，并且可以在国家人才网等平台上展示，供包括500强公司等大型公司挑选和聘用人才。这对于回国找工作特别是进入大公司，具有非常积极的作用。 2. 留信认证对就业的好处提高竞争力：通过留信认证，尤其是对你所学专业的认证，可以大大提高你在国内求职时的竞争力。许多公司对留学生背景和所学专业有很高的要求，认证后的信息能够帮助公司快速识别符合条件的候选人。增强信任度：公司往往会对没有认证的学历背景产生疑虑，而留信认证为你的学历背景提供了第三方权威机构的背书，增强了雇主的信任。对接高端岗位：通过认证后，留学生的个人信息被纳入国家人才库，这也意味着你可以被更多的高端岗位、国有大公司和跨国公司注意到，特别是那些招聘具有国际化背景的人才的公司。

Rosa_Ivelisse_PublishingCompanyPitch(1).docxirramos8843

Luis Berrios Nieves, known in the music industry as Nérol El Rey de la Melodia, is an independent composer, songwriter, and producer from Puerto Rico. With extensive experience collaborating with prominent Latin artists, he specializes in reggaeton, salsa, and Latin pop. Nérol’s compositions have been featured in hit songs such as “Porque Les Mientes” by Tito “El Bambino” and Marc Anthony. In this proposal, we will explore why Rimas Music Publishing is the perfect fit for Nérol’s continued success and growth.

Presentation1.pptx for data and table analysisvatsalsingla4

RAGing Against the Literature: LLM-Powered Dataset Mention Extraction-present...suchanadatta3

Dataset Mention Extraction (DME) is a critical task in the field of scientific information extraction, aiming to identify references to datasets within research papers. In this paper, we explore two advanced methods for DME from research papers, utilizing the capabilities of Large Language Models (LLMs). The first method employs a language model with a prompt-based framework to ex- tract dataset names from text chunks, utilizing patterns of dataset mentions as guidance. The second method integrates the Retrieval-Augmented Generation (RAG) framework, which enhances dataset extraction through a combination of keyword-based filtering, semantic retrieval, and iterative refinement.

Introduction to database and analysis software’s suitable for.pptxnabinparajuli9

Stasiun kernel pengolahan kelapa sawit indonesiafikrimanurung1

2025-03-03-Philly-AAAI-GoodData-Build Secure RAG Apps With Open LLMTimothy Spann

MLecture 1 Introduction to AI . The basics.pptxFaizaKhan720183

Machine learning and artificial intelligence introduction. Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.Machine learning and artificial intelligence introduction.

原版复刻加拿大多伦多大学成绩单(UTSG毕业证书) 文凭taqyed

毕业证书加拿大文凭多伦多大学成绩单？【q薇1954292140】复刻成绩单加拿大多伦多大学毕业证(UTSG毕业证书)成绩单定购多伦多大学毕业证办理，毕业证文凭样本加拿大多伦多大学文凭办理，加拿大多伦多大学成绩单办理和真实留信认证、留服认证、多伦多大学学历认证。学院文凭定制，多伦多大学原版文凭补办，扫描件文凭定做，100%文凭复刻。【q薇1954292140】Buy St. George campus Diploma购买美国毕业证，购买英国毕业证，购买澳洲毕业证，购买加拿大毕业证，以及德国毕业证，购买法国毕业证（q薇1954292140）购买荷兰毕业证、购买瑞士毕业证、购买日本毕业证、购买韩国毕业证、购买新西兰毕业证、购买新加坡毕业证、购买西班牙毕业证、购买马来西亚毕业证等。包括了本科毕业证，硕士毕业证。如果您在英、加、美、澳、欧洲等留学过程中或回国后： 1、在校期间因各种原因未能顺利毕业《UTSG成绩单工艺详解》【Q/WeChat：1954292140】《Buy St. George campus Transcript快速办理多伦多大学教育部学历认证书毕业文凭证书》，拿不到官方毕业证； 2、面对父母的压力，希望尽快拿到； 3、不清楚认证流程以及材料该如何准备； 4、回国时间很长，忘记办理； 5、回国马上就要找工作《正式成绩单多伦多大学毕业证书》【q薇1954292140】《购买毕业证UTSG成绩单定购》办给用人单位看；　　 6、企事业单位必须要求办理的； 7、需要报考公务员、购买免税车、落转户口、申请留学生创业基金。加拿大文凭多伦多大学成绩单，UTSG毕业证【q薇1954292140】办理加拿大多伦多大学毕业证(UTSG毕业证书)【q薇1954292140】成绩单影本多伦多大学offer/学位证研究生学历信息、留信官方学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作。帮你解决多伦多大学学历学位认证难题。加拿大文凭购买，加拿大文凭定制，加拿大文凭补办。专业在线定制加拿大大学文凭，定做加拿大本科文凭，【q薇1954292140】复制加拿大St. George campus completion letter。在线快速补办加拿大本科毕业证、硕士文凭证书，购买加拿大学位证、多伦多大学Offer，加拿大大学文凭在线购买。高仿真还原加拿大文凭证书和外壳，定制加拿大多伦多大学成绩单和信封。办硕士学位证UTSG毕业证【q薇1954292140】办理加拿大多伦多大学毕业证(UTSG毕业证书)【q薇1954292140】成绩单定制多伦多大学offer/学位证学历认证报告怎么弄、留信官方学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作。帮你解决多伦多大学学历学位认证难题。特殊原因导致无法毕业，也可以联系我们帮您办理相关材料：１：在多伦多大学挂科了，不想读了，成绩不理想怎么办？？？ 2：打算回国了，找工作的时候，需要提供认证《UTSG成绩单购买办理多伦多大学毕业证书范本》【Q/WeChat：1954292140】Buy St. George campus Diploma《正式成绩单论文没过》有文凭却得不到认证。又该怎么办？？？加拿大毕业证购买，加拿大文凭购买， 3：回国了找工作没有多伦多大学文凭怎么办？有本科却要求硕士又怎么办？帮您解决在加拿大多伦多大学未毕业难题（St. George campus）文凭购买、毕业证购买、大学文凭购买、大学毕业证购买、买文凭、日韩文凭、英国大学文凭、美国大学文凭、澳洲大学文凭、加拿大大学文凭（q薇1954292140）新加坡大学文凭、新西兰大学文凭、爱尔兰文凭、西班牙文凭、德国文凭、教育部认证，买毕业证，毕业证购买，买大学文凭，购买日韩毕业证、英国大学毕业证、美国大学毕业证、澳洲大学毕业证、加拿大大学毕业证（q薇1954292140）新加坡大学毕业证、新西兰大学毕业证、爱尔兰毕业证、西班牙毕业证、德国毕业证，回国证明，留信网认证，留信认证办理，学历认证。从而完成就业。主营项目： 1、真实教育部国外学历学位认证《加拿大毕业文凭证书快速办理多伦多大学成绩单GPA修改》【q薇1954292140】《论文没过多伦多大学正式成绩单》，教育部存档，教育部留服网站100%可查. 2、办理UTSG毕业证，改成绩单《UTSG毕业证明办理多伦多大学学校原版文凭补办》【Q/WeChat：1954292140】Buy St. George campus Certificates《正式成绩单论文没过》，多伦多大学Offer、在读证明、学生卡、信封、证明信等全套材料，从防伪到印刷，从水印到钢印烫金，高精仿度跟学校原版100%相同. 3、真实使馆认证（即留学人员回国证明），使馆存档可通过大使馆查询确认. 4、留信网认证，国家专业人才认证中心颁发入库证书，留信网存档可查. 《多伦多大学扫描件文凭定做加拿大毕业证书办理UTSG文凭定制您的学术成就》【q薇1954292140】学位证1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。【q薇1954292140】办理多伦多大学毕业证(UTSG毕业证书)仿造在线制作本科文凭【q薇1954292140】多伦多大学offer/学位证、留信官方学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作加拿大多伦多大学毕业证(UTSG毕业证书)学位证书样本留信认证的作用： 1. 身份认证：留信认证可以证明你的留学经历是真实的，且你获得的学历或学位是正规且经过认证的。这对于一些用人单位来说，尤其是对留学经历有高度要求的公司（如跨国公司或国内高端公司），这是非常重要的一个凭证。专业评定：留信认证不仅认证你的学位证书，还会对你的所学专业进行评定。这有助于展示你的学术背景，特别是对于国内公司而言，能够清楚了解你所学专业的水平和价值。国家人才库入库：认证后，你的信息将被纳入国家人才库，并且可以在国家人才网等平台上展示，供包括500强公司等大型公司挑选和聘用人才。这对于回国找工作特别是进入大公司，具有非常积极的作用。

The Role of Christopher Campos Orlando in Sustainability Analyticschristophercamposus1

Valkey 101 - SCaLE 22x March 2025 Stokes.pdfDave Stokes

Class 3-Workforce profile updated P.pptxangelananalucky

Hire Android App Developers in India with Cerebraixcerebraixs

Presentation.2 .reversal. reversal. pptxsiliaselim87

Optimizing Common Table Expressions in Apache Hive with CalciteStamatis Zampetakis

Data-Models-in-DBMS-An-Overview.pptx.pptxhfebxtveyjxavhx

The Marketability of Rice Straw Yarn Among Selected Customers of Gantsilyo Gurukenyoncenteno12

2024-07-eb-big-book-of-data-engineering-3rd-edition.pdfAlexandreMacedo50

Media Audiogahwhwhjwjwjwjjwjwjwhwhwjwhwhwcarbsmichael

[aon_presentation EN] global_job_leveling .pdfssuser87c19a

加拿大成绩单购买原版(鲍颁毕业证书)卡尔加里大学毕业证文凭taqyed

Rosa_Ivelisse_PublishingCompanyPitch(1).docxirramos8843

Presentation1.pptx for data and table analysisvatsalsingla4

RAGing Against the Literature: LLM-Powered Dataset Mention Extraction-present...suchanadatta3

Introduction to database and analysis software’s suitable for.pptxnabinparajuli9

Stasiun kernel pengolahan kelapa sawit indonesiafikrimanurung1

2025-03-03-Philly-AAAI-GoodData-Build Secure RAG Apps With Open LLMTimothy Spann

MLecture 1 Introduction to AI . The basics.pptxFaizaKhan720183

原版复刻加拿大多伦多大学成绩单(UTSG毕业证书) 文凭taqyed

The Role of Christopher Campos Orlando in Sustainability Analyticschristophercamposus1