This document discusses data visualization and provides examples related to Egyptian elections. It defines data visualization as visually communicating information clearly and effectively. It also outlines the elements of an effective infographic. Several examples are presented that visualize Egyptian political party maps, election results, and presidential election results. Tools for creating visualizations like Infogr.am, Visual.ly, and Gephi are also mentioned. Finally, it describes the data visualization lifecycle from data collection to analysis to creating visualizations.
Introduction on Data Visualization. Importance of Data Visualization. Data Representation Criteria. Groundwork for data visualization. Some Data Visualization tools to start with
Introduction on Data Visualization. Importance of Data Visualization. Data Representation Criteria. Groundwork for data visualization. Some Data Visualization tools to start with
This is a presentation I gave on Data Visualization at a General Assembly event in Singapore, on January 22, 2016. The presso provides a brief history of dataviz as well as examples of common chart and visualization formatting mistakes that you should never make.
This presentation have the concept of Big data.
Why Big data is important to the present world.
How to visualize big data.
Steps for perfect visualization.
Visualization and design principle.
Also It had a number of visualization method for big data and traditional data.
Advantage of Visualization in Big Data
Data visualizations make huge amounts of data more accessible and understandable. Data visualization, or "data viz," is becoming largely important as the amount of data generated is increasing and big data tools are helping to create meaning behind all of that data.
This SlideShare presentation takes you through more details around data visualization and includes examples of some great data visualization pieces.
North Raleigh Rotarian Katie Turnbull gave a great presentation at our Friday morning extension meeting about data visualization. Katie is a consultant at research and advisory firm, Gartner, Inc.
Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools.
Data is only useful when your audience can understand it. One of the best ways to decipher a jumble of figures and statistics is to turn it into a visual representation. Learn how to become a data visualization pro.
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
The Future Of Data Visualization
with Gert Franke
OVERVIEW
Data visualization has become increasingly popular over the last few years. Many tools nowadays include some kind of data visualization which gives you insight in usage, the best possible way to travel, the best product offering, etc. Data visualization seems to be a powerful solution for summarising information in a world where the amount of information targeted towards us is increasing every day. But is this the holy grail for processing information? What new possibilities does visualising data provide us? What is the best possible way to present and interact with these data visualizations?
In this talk Gert Franke will briefly show where data visualization comes from, how it now influences our daily life, what the potential of data visualization is and what the future of data visualization might look like.
OBJECTIVE
Show the history, potential and future of data visualization.
TARGET AUDIENCE
People that want to understand the possibilities of interactive data visualizations.
FIVE THINGS AUDIENCE MEMBERS WILL LEARN
The history of data visualization
The reasons why data visualization became so hot the last few years
The potential of data visualization
The things we have to be aware of when creating (interactive) data visualizations
What might the future look like with the use of data visualization
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns
This is a presentation I gave on Data Visualization at a General Assembly event in Singapore, on January 22, 2016. The presso provides a brief history of dataviz as well as examples of common chart and visualization formatting mistakes that you should never make.
This presentation have the concept of Big data.
Why Big data is important to the present world.
How to visualize big data.
Steps for perfect visualization.
Visualization and design principle.
Also It had a number of visualization method for big data and traditional data.
Advantage of Visualization in Big Data
Data visualizations make huge amounts of data more accessible and understandable. Data visualization, or "data viz," is becoming largely important as the amount of data generated is increasing and big data tools are helping to create meaning behind all of that data.
This SlideShare presentation takes you through more details around data visualization and includes examples of some great data visualization pieces.
North Raleigh Rotarian Katie Turnbull gave a great presentation at our Friday morning extension meeting about data visualization. Katie is a consultant at research and advisory firm, Gartner, Inc.
Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools.
Data is only useful when your audience can understand it. One of the best ways to decipher a jumble of figures and statistics is to turn it into a visual representation. Learn how to become a data visualization pro.
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
The Future Of Data Visualization
with Gert Franke
OVERVIEW
Data visualization has become increasingly popular over the last few years. Many tools nowadays include some kind of data visualization which gives you insight in usage, the best possible way to travel, the best product offering, etc. Data visualization seems to be a powerful solution for summarising information in a world where the amount of information targeted towards us is increasing every day. But is this the holy grail for processing information? What new possibilities does visualising data provide us? What is the best possible way to present and interact with these data visualizations?
In this talk Gert Franke will briefly show where data visualization comes from, how it now influences our daily life, what the potential of data visualization is and what the future of data visualization might look like.
OBJECTIVE
Show the history, potential and future of data visualization.
TARGET AUDIENCE
People that want to understand the possibilities of interactive data visualizations.
FIVE THINGS AUDIENCE MEMBERS WILL LEARN
The history of data visualization
The reasons why data visualization became so hot the last few years
The potential of data visualization
The things we have to be aware of when creating (interactive) data visualizations
What might the future look like with the use of data visualization
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns
Explore Data: Data Science + VisualizationRoelof Pieters
Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/
Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84
[Srijan Wednesday Webinar] Leveraging the OGD Platform and Visualization EngineSrijan Technologies
Data is one of the most valuable resources of modern digitized governance, but raw data alone can not provide the decision makers valuable insights. To turn the numbers into knowledge, we need to separate noise from the data. We also need to choose the right way to present the data, so that it’s easily interpreted.
There Open Government Data Platform India makes a lot of valuable open government datasets available from different sectors. And you are free to leverage these for creating visualizations and info-graphics using the in-house visualization engine.
Watch the webinar and learn how the OGD platform can help you create data-driven products and solutions.
Key Takeaways:
- Understand the importance of visualizations to showcase valuable insights
- Learn how to use open government data in decision making
- Know how to choose your format of visualization according to the data
- Learn how to create and share maps and charts using the Data Visualization Engine of the OGD Platform
Exploratory Data Analysis and Feature Selection for Social Media Hackers Pred...CSEIJJournal
In machine learning, the intelligence of a developed model is greatly influenced by the dataset used for the
target domain on which the developed model will be deployed. Social media platform has experienced
more of hackers’ attacks on the platform in recent time. To identify a hacker on the platform, there are two
possible ways. The first is to use the activities of the user while the second is to use the supplied details the
user registered the account with. To adequately identify a social media user as hacker proactively, there
are relevant user details called features that can be used to determine whether a social media user is a
hacker or not. In this paper, an exploratory data analysis was carried out to determine the best features
that can be used by a predictive model to proactively identify hackers on the social media platform. A web
crawler was developed to mine the user dataset on which exploratory data analysis was carried out to
select the best features for the dataset which could be used to correctly identify a hacker on a social media
platform.
EXPLORATORY DATA ANALYSIS AND FEATURE SELECTION FOR SOCIAL MEDIA HACKERS PRED...CSEIJJournal
In machine learning, the intelligence of a developed model is greatly influenced by the dataset used for the
target domain on which the developed model will be deployed. Social media platform has experienced
more of hackers’ attacks on the platform in recent time. To identify a hacker on the platform, there are two
possible ways. The first is to use the activities of the user while the second is to use the supplied details the
user registered the account with. To adequately identify a social media user as hacker proactively, there
are relevant user details called features that can be used to determine whether a social media user is a
hacker or not. In this paper, an exploratory data analysis was carried out to determine the best features
that can be used by a predictive model to proactively identify hackers on the social media platform. A web
crawler was developed to mine the user dataset on which exploratory data analysis was carried out to
select the best features for the dataset which could be used to correctly identify a hacker on a social media
platform.
Data visualization trends in Business Intelligence: Allison Sapka at Analytic...Fitzgerald Analytics, Inc.
Allison Sapka's presentation at the Analytics and Data in Financial Services Meetup in Dec 2012. Alison discusses trends in Data Visualization, including why visualization is so powerful when implemented well, and confusing or misleading when done badly
With EOfactory.ai, domain experts can
focus on their domain-related workflows and use automation for some of the other repeatable tasks
such as downloading imagery and
preprocessing.
Making the invisible visible. Managing the digital footprint of development p...UNDP Eurasia
Thanks to new technologies, now accessible also in remote places, development work - and development workers - have an increasing digital footprint. Quite litterally, what was invisible can now become visible, with major implications for aid effectiveness, transparency and fundraising. Being able to manage such footprint effectively and analyse it to identify emerging trends is going to be a differentiating skill in the Development 2.0 world. This presentations illustrates some key concepts, examples and tools that development organisations can use ti analyse and manager their digital footprint.
Throughout the months of November and December, we are organizing six global in-person ‘meetups’ led and facilitated by Global Voices members, who live and know those local communities.
As a part of my Information Retrieval module in the University of East Anglia, we had to build classifier to detect deceptive review spam. Review spam was described by Nitin Jindal as follows: "It is now a common practice for e-commerce Web sites to enable their customers to write reviews of products that they have purchased. Such reviews provide valuable sources of information on these products .. Unfortunately, this importance of reviews also gives good incentive for spam, which contains false positive or malicious negative opinions". This is my poster presentation where I implemented 3 classification algorithms using Python, as well as feature selection and preprocessor modules.
My graduation project in BSc. Electronics & Communications in 2002. Linux Based DiffServ. Router, a software to classify the network traffic, DSCP Mark, Shape and Prioritize it according to those classes.
My presentation in Networked Revolts session held in Athens, Greece, May 2011. The session was discussing the uprisings spreading across North Africa and the Middle East and its relation to Social Media. It was organisers by the Greek newspapers Konteiner and Re-public.
http://www.re-public.gr/en/?p=4218#more-4218
And finally this is a video for the presentation
http://www.youtube.com/watch?v=A5_0qdNPY6A
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. One Slideshow
Introduction Examples
The Egyptian Political Spectrum (Just Sketch, not even parties, GIMP)
What is Data Visualization? http://www.tarekamr.com/2011/08/egyptian-political-spectrum.html
The main goal of data visualization is its ability to visualize data, communicating information Political Parties Map made by Arabist (Parties added)
clearly and effectively, Vitaly Friedman http://www.arabist.net/storage/uploads/Map%20of%20EG%20Political%20Parties%2012.11.2011.pdf
OR
Egypt Parliamentary Elections Results
"What Is Data Visualization", visually explained, http://ffctn.com/whatisdataviz Done by Paul Van Slembrouck (@ptvan)
I work with startups to turn data into beautiful and simple infographics, visualizations, interactive applications,
and presentations. I have a business degree from the University of Michigan
Visual.ly: What are the elements that make up an infographic? http://visual.ly/egypt-parliamentary-elections, http://www.paulvanslembrouck.com/2012/test-3/
Visualizations that present complex information quickly and clearly Morsi vs Shafik (Clustered Governorates)
Visualizations that integrate words and graphics to reveal information, patterns or trends Morsi's campaign has produced an electoral map showing results.
http://www.guardian.co.uk/world/middle-east-live/2012/jun/18/egypt-election-muslim-brotherhood-claims-victory-live
Visualizations that are easier to understand than words alone Tool used: results-gadget.js
Visualizations that are beautiful and engaging By Michael Geary, http://mg.to/, http://dr-morsy.appspot.com/results/results-map.html
The Egyptian Uprising According to Twitter
Tools http://visual.ly/egyptian-uprising-according-twitter, http://blog.hootsuite.com/egypt/
Infogr.am is the simplest way to create infographics.
Data Lifecycle
http://infogr.am/
Different Data Sources
We’re building a tool that will allow everyone to quickly and easily create Data acquisition is the process of sampling signals that measure real world physical conditions and converting the
resulting samples into digital numeric values that can be manipulated by a computer.
professional quality designs with their own data. And when you’re ready to show Parties Agents, Indipendant Monitoring, TV, Social Media, etc.
your work to the world, publish it on your Visual.ly profile, your own personal
showcase. Collaborative Data Collection and Analysis
Google Documents was used as a platform for different users to collaborate in entering data, validating and doing
http://visual.ly/ simple summation on such data
Data Visualization
Gephi is an interactive visualization and exploration platform for all kinds of networks and Data was turned into visual maps (Michael Geary's Results Gadget) or Infographs (Paul Van Slembrouck
complex systems, dynamic and hierarchical graphs. Infograph)
http://gephi.org/
Links
Data Collection Analyzing the Top 30 Infographics on Visually, http://www.paulvanslembrouck.com/2012/analyzing-top-30-viral/
Google Docs in Elections Results 10 Awesome Data Visualization Tools for the Web,
Collaboration http://digitalanalog.in/2012/05/15/10-awesome-data-visualization-tools-for-the-web/
3. What is Data Visualization?
The main goal of data visualization is its ability to visualize data,
communicating information clearly and effectively, Vitaly Friedman
4. What are the elements that make up
an Infographic?
• Visualizations that …
o present complex information quickly and
clearly
o integrate words and graphics to reveal
information, patterns or trends
o are easier to understand than words alone
o are beautiful and engaging
Source: Visual.ly
8. The Egyptian Presidential Elections
Morsi vs Shafik Morsi's percentages
Publish on Morsi’s site. Done using Michael Done by Eric Schewe, American PhD
Geary’s results-gadget.js student in History living in Egypt
9. Morsi Meter
http://www.morsimeter.com/
Data Visualization can be as simple as a progress bar!
10. DataViz Lifecycle
• Different Data Sources: Data acquisition is the
process of sampling signals that measure real
world physical conditions and converting the
resulting samples into digital numeric values that
can be manipulated by a computer.
– Parties Agents,
– Independent Monitoring
– TV
– Social Media
– Etc.
11. DataViz Lifecycle
• Collaborative Data Collection and Analysis:
Google Documents was used as a platform for
different users to collaborate in entering data,
validating and doing simple summation on
such data
12. DataViz Lifecycle
• Data Visualization:
Data was turned into visual maps (Michael
Geary's Results Gadget) or Infographs (Paul
Van Slembrouck Infograph)
13. Tools
• Infogr.am is the simplest way to create infographics,
http://infogr.am/
• Visual.ly is a tool that will allow everyone to quickly and
easily create professional quality designs with their own
data. And when you’re ready to show your work to the
world, publish it on your Visual.ly profile, your own
personal showcase, http://visual.ly/
• Gephi is an interactive visualization and exploration
platform for all kinds of networks and complex systems,
dynamic and hierarchical graphs, http://gephi.org/
Editor's Notes
Can you read this!? All data is here, but you still need better way for the data to be presented for you to understand it.
A Data Visualization describing what is Data Visualization by Vitaly Friedman
Visual.ly’s elements of an Infograph
Just Sketch, no actual representation for sizes, not even parties, done with GIMP in August 2011 http://www.tarekamr.com/2011/08/egyptian-political-spectrum.html
Parties added, based on their programs, still no actual sizes, Jacopo Carbonari, The Arabist http://www.arabist.net/storage/uploads/Map%20of%20EG%20Political%20Parties%2012.11.2011.pdf
Now we can see parties, sizes, affiliation, and may be trends as well Done by Paul Van Slembrouck (@ptvan) http://visual.ly/egypt-parliamentary-elections http://www.paulvanslembrouck.com/2012/test-3/
Different data for the elections results, it’s all about the data
A Data Visualization doesn’t have to be visually complex, it can be as simple as a progress bar yet useful and representative
How Data was collected for the Elections Results in Egypt, and how Mulsim Brotherhood’s number were quicker and as accurate as those of the official Election Committee
A tool as simple as Google Docs can be used to collect, validate and analyze data in a collaborative way