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.
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.
A deep dive in data visualization covering some handful tools like Advance excel, Tableau, Qliksense etc.
You can add more content like discussing Google API, Perception and cognition theory,some more readable formats for data visualization and its framework.
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.
A deep dive in data visualization covering some handful tools like Advance excel, Tableau, Qliksense etc.
You can add more content like discussing Google API, Perception and cognition theory,some more readable formats for data visualization and its framework.
Best Practices for Killer Data VisualizationQualtrics
There’s something special about simple, powerful visualizations that tell a story. In fact, 65% of people are visual learners.
Join Qualtrics and Sasha Pasulka from Tableau as we illuminate the world of data visualization and give you clear takeaways to help you tell a better story with data. Getting executive buy-in or that seat at the table may come down to who can visualize data in a way that excites and enlightens the audience.
Data Visualization Design Best Practices WorkshopJSI
This introduction was presented as part of a workshop at the Measurement and Accountability for Results in Health Summit at the World Bank (June 2015). The workshop focused on simple ways anyone working with data can improve their presentations, and included visualization redesign activity to put these principles in practice.
Introduction on Data Visualization. Importance of Data Visualization. Data Representation Criteria. Groundwork for data visualization. Some Data Visualization tools to start with
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.
This slide deck gives a general overview of Data Visualization, with inspiring examples, the strength and weaknesses of the human visual system, a few technical frameworks that may be used for creating your own visualizations and some design concepts from the data visualization field.
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 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
Best Practices for Killer Data VisualizationQualtrics
There’s something special about simple, powerful visualizations that tell a story. In fact, 65% of people are visual learners.
Join Qualtrics and Sasha Pasulka from Tableau as we illuminate the world of data visualization and give you clear takeaways to help you tell a better story with data. Getting executive buy-in or that seat at the table may come down to who can visualize data in a way that excites and enlightens the audience.
Data Visualization Design Best Practices WorkshopJSI
This introduction was presented as part of a workshop at the Measurement and Accountability for Results in Health Summit at the World Bank (June 2015). The workshop focused on simple ways anyone working with data can improve their presentations, and included visualization redesign activity to put these principles in practice.
Introduction on Data Visualization. Importance of Data Visualization. Data Representation Criteria. Groundwork for data visualization. Some Data Visualization tools to start with
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.
This slide deck gives a general overview of Data Visualization, with inspiring examples, the strength and weaknesses of the human visual system, a few technical frameworks that may be used for creating your own visualizations and some design concepts from the data visualization field.
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 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
The visualization of data and analytics leads to business growth and transformation. An effective data visualization helps in proper decision making and analyses its best of the inputs.
Telling Stories with Data_ The Art of Creating Powerful Visuals.docxSannidhiShetty19
Unleash the true potential of your data-driven narratives! Join us on a captivating blog journey to master the art of creating powerful visuals. Learn key principles, tools, and techniques to transform raw data into compelling stories that inspire action. Elevate your data visualization game today!
Telling Stories with Data_ The Art of Creating Powerful Visuals.docxSannidhiShetty19
Unleash the true potential of your data-driven narratives! Join us on a captivating blog journey to master the art of creating powerful visuals. Learn key principles, tools, and techniques to transform raw data into compelling stories that inspire action. Elevate your data visualization game today!
Big Data is a concept that has become popular since 2012 to
express the exponential growth of the data to be processed.
These big data go beyond intuition and human analytical abilities. They require new tools to store, query, process and view information.
What is Data Visualization: A Comprehensive GuideLucy Zeniffer
What is Data Visualization: A Comprehensive Guide" offers a concise exploration of the fundamental concepts and techniques behind visualizing data. From charts and graphs to interactive dashboards, this guide illuminates how data visualization enhances understanding and decision-making across various domains. Dive into the art and science of transforming raw data into insightful visuals.
What Is Data Visualization, and Why Is It Important?Edology
Data visualization allows business users to gain insight into their vast amounts of data. It benefits them to recognize new patterns and errors in the data.
10 POPULAR DATA SCIENCE TOOLS TO CONSIDER EXPLORINGUSDSI
Get maximum competence in top data science tools to power creative data visualization. Explore the variety of data science tools that can enable high-end data optimization for business amplification.
The SpotDy City Pulse™ is built on top of cutting edge big data technologies along with deep data science and AI algorithms, for Governments to deliver right actions at right place at right time.
SpotDy BigAITM introduce a completely new model for building operational intelligence, giving companies a competitive edge by put all their data to work to uncover new insights in timely fashion without friction.
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
What is big data ? | Big Data ApplicationsShilpaKrishna6
Big data is similar to ‘small data’ but bigger in size. It is a term that describes the large volume of data both structured and unstructured. Big data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques
Similar to The Importance of Data Visualization (20)
As a UX designer, Joe Bond is interested in using peer-to-peer mentorship as a primer for creating inclusive, active local design communities. He talks about his own experiences in creating communities to meet and learn from people that are solving meaningful problems in a variety of design disciplines and methodologies.
The marketing persona is a powerful tool, but many organizations struggle to translate their personas into actual, customer-centric content. Centerline's simple workshop will help you run a rapid persona development session in-house, so you can implement your research and create personas your marketing team can actually use.
Content Strategy Spectrum - Cait Vlastakis Smith - Centerline DigitalCenterline Digital
The Content Marketing Institute describes two types of content strategists:
- Front-end content strategists are more focused on marketing goals, the customer-facing experience, and content messaging.
- Back-end content strategists are more focused on content structure, scalability and platform.
However, these types of content strategists should be seen as a dichotomy of roles. They’re intimately connected and ultimately working toward the same goal: bringing clarity to information, delivering value to users and creating cognitive ease.
In this presentation, we break down the roles and then show how they only exist in combination.
Learn more: http://www.centerline.net
Measuring Share of Voice - Centerline Digital - March 2016Centerline Digital
Share of Voice measures how often a brand is potentially noticed across public-facing channels and can be simplistically calculated by impressions (owned / total competitive brand).
When measuring Share of Voice, it’s important to consider how heavily each data point may be measured based on brand or campaign objectives. Our goal is to determine which KPIs/metrics are not only most important, but have the highest correlation to performance and ROI. This weighting system is contingent on brand objectives.
Learn more at: http://www.centerline.net
Maximizing Value and Consistency of Experiences with Design Systems - Centerl...Centerline Digital
A convergence of design and marketing has become a necessary means for managing a brand and its offering to consumers. It takes a combined effort to continually provide quality output while also delivering responsiveness at scale at a time when channels, screens, and constant interaction demand more from us as teams. By looking at the convergence through a systematic lens you can expose potential in your efforts, both creatively and organizationally. This presentation explores how a design system can benefit you, and where to get started in building your own design system.
Learn more at http://www.centerline.net
Creating an Agile Marketing Framework - Centerline Digital - Version 1 - Marc...Centerline Digital
Marketers must become more agile to keep up with the speed of communication. Creating an Agile Marketing Framework is a methodology for brands to operate more like media companies – to pursue stories of value to their audiences like journalists.
While foundational elements of marketing solutions—like brand goals, audience understanding and measurement—will remain, the mediums, channels, contributors and pace must be constantly adjusted and optimized to reach audiences with valuable content.
Learn more: http://www.centerline.net
At the Next Gen Customer Experience (CX) in Financial Services conference, Centerline's Marketing Change Management team presents two hypotheses on the importance of organizational balance and elevating your CX using data and innovation. As a key takeaway, the presentation included a CX Maturity Program to gauge your organizational CX maturity as well as helps identify goals and where to focus your efforts moving forward.
Marketing automation is powerful technology, but how do you build a business case for it in your company? This presentation highlights key features of marketing automation platforms, and shares tips for planning and implementing your new system.
Learn how marketing automation can grow your pipeline, make your customers happy and close the gap between marketing and sales.
Content Moments, Not Content Marketing. By John Lane - Centerline DigitalCenterline Digital
I propose we replace "content marketing" with "content moments." Because people don't want to be sold to. But they do want value from brands. If we start thinking about creating moments that have meaning — experiences that connect, that spark emotion, that illicit action (or reaction) — we'll make a better connection with our audience.
This presentation was delivered on May 19, 2015 at the Raleigh Chamber of Commerce BizCon.
How to Build a Customer-Focused Information ArchitectureCenterline Digital
What is information architecture? Is it just about card sorting? What IS card sorting?
This presentation will take you through the basics of information architecture (IA) and how you can create a customer-centric information architecture. Just as design isn't only for the designer, IA isn't just for the information architecture. Business people should care about it, too. We'll tell you why.
The High Five Conference is an annual event hosted by the Triangle AMA that brings creative and marketing together in the Triangle.
This year, Centerline Digital was tasked with managing all social content for the High Five Conference handles on Twitter and Instagram.
Going into the conference, we wanted to be as organized as possible to ensure the channels were populated with engaging content in a timely manner. We divided the tasks to ensure we made the most of our small team:
• Monitoring and responding on Twitter
• Generating original social copy related to sessions and announcements for Twitter
• Taking pictures and creating captions to post on Instagram
• Interacting with attendees
After the event, there was so much activity on the hashtag #High5Conf that we wanted to compile some of the highlightable moments from social content that was shared at the event. Utilizing tools such as Sysomos and Simply Measured, we were able to capture some of those moments and put together a simple and fun recap.
Ten Things to Consider When Completing your Interactive Media DegreeCenterline Digital
Centerliners Brenna Mickey and Cait Smith spoke at their alma mater Elon University to students completing their Master of Arts in Interactive Media. This presentation provides helpful tips and things to think about when venturing out (or back) into the real world.
A customer experience framework is a fancy name for a set of tools designed to help you create viable customer experience maps. By creating a framework, you can make sure your deliverable is telling a true story and ensure your thinking maintains a customer-centric focus. Learn about what goes into building a CX framework and how you can put it to use in your next project in this presentation.
At its core, User Experience Design is about people. It’s about truly getting to know them, whether they’re stakeholders or end-users. The more you know about someone’s digital preferences and behaviors, the better you’ll be able to design for them. In this post you’ll find a high-level blueprint for executing good UX strategy. Not every process will look identical, but this will help you see how UX design fits into the digital experience design process.
How would you go about changing customer perceptions while celebrating an anniversary AND driving sales? That was the challenge IBM approached Centerline with prior to the 50th Anniversary of the mainframe.
See more of Centerline Digital's work at centerline.net.
The Experience Score: A Tool for Evaluating Digital Experiences - Centerline ...Centerline Digital
The Experience Score: A Tool for Evaluating Digital Experiences
The Experience Score for a particular web page is based on 5 dimensions of a digital experience: Clarity, Flow, Relevance, Utility, and Trustworthiness. A page is graded on a scale from 0 to 5 for each of the 5 dimensions and those scores are averaged. The result is The Experience Score for that page. Run this evaluation on every page of a web site and average all the scores to get a simple indicator of how delightful a site is to use. We've been using it in client projects for a couple months now with fantastic results.
Read more about The Experience Score here:
http://cdig.co/1mMYQ7n
Download the Experience Score Table and Rubric here:
http://cdig.co/1nYuOLN
How Humans Think - UX and Content Marketing - Cait Vlastakis Smith - Centerli...Centerline Digital
UX & Content Marketing: Navigating How Humans Think
Humans are strange, complex, fickle creatures. That said, it's our job as designers, content creators and marketers to deeply understand our audience as humans, not just "users" or "buyers." Why? So we stop making content people don't need, want or care about, and start delivering greater value.
The biggest challenge we face is putting aside our own personal preferences and biases. The best way tackle this challenge is by diving head first into audience research to understand who we're talking to. In essence: We have to think less like marketers and more like our audience.
This presentation given at DMFB explores action-based methods to begin untangling how people think. Throughout the presentation, we explored:
1) How the brain is structured to process information
2) Key questions to ask ourselves during content and design planning to help us think more like our audience
3) User experience (UX) research methods to apply throughout content marketing efforts, such as interviews and contextual inquiries
4) How to synthesize varying depths of customer insights into strategic outputs to guide content creation, and
5) A step-by-step "audience first" content planning guide that serves as a jumpstart tool for building content marketing programs around humans
Uncovering what motivates people, surfacing unknown needs and gathering insights will ultimately help us figure out how we can serve them better. Unpacking the answers to “Why” fuels user experience research. And when applied to content marketing, it paints a clearer picture of our audience and helps us create meaningful content and user-centered experiences that win attention, respect and loyalty.
For more information, please visit http://www.centerline.net or find me on Twitter at @caitvsmith.
John Lane - Centerline Digital - DMFB Conference 2014 - How To Walk On The Se...Centerline Digital
How To Walk On The Sea Of Content.
There are two really big things that keep content marketing from working as well as it could for you:
1. Too much focus on quantity, rather than quality.
2. Not truly understanding your audience.
And they are related. I think that most people revert to creating more rather than "more valuable" because they don't understand their audience well enough to know what more valuable means.
So on quantity... we are in our own way. We're content hoarders. We think if a piece of content gets 1 view per month it must be good and worth keeping. That simply isn't true. Be willing the edit – promote more, iterate or replace. And we'll never be able to stop the quantity problem completely. Because even if we only put out the best quality content around a topic, we'll still be competing with all the content made be everyone else in the space.
And that's where audience understanding comes in. The better we know our audience — as humans, not canned personas — the better we can create the content they crave, and the better optimized it will be for the right audience to find it, engage with it, and share it. That type of understanding is an ongoing process, not a moment in time.
This presentation given at the Digital Marketing For Business conference covers those two points, and provides strategies on overcoming both challenges.
For more info, please visit http://www.centerline.net or contact me (John Lane) via Twitter: @johnvlane
Thanks!
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
3. Big data is a broad term for data sets so large or complex that
traditional data processing applications are inadequate. Challenges
include analysis, capture, curation, search, sharing, storage,
transfer, visualization, and information privacy.
Big data is distinct from the internet, although the web makes it
much easier to collect and share data.
RESOURCE
en.wikipedia.org/wiki/Big_dataWikipedia
4. 90%OF ALL THE DATA IN THE WORLD HAS BEEN
GENERATED OVER THE LAST TWO YEARS, 2.5
BILLION GB OF NEW DATA IS GENERATED EVERYDAY
RESOURCE
Sciencedaily.com/releases/2013/05/130522085217.htm
5. 1 TRILLIONCONNECTED OBJECTS AND DEVICES ON THE
PLANET GENERATED DATA IN 2015
RESOURCE
Sciencedaily.com/releases/2013/05/130522085217.htm
7. One of the most important benefits of visualization is that it
allows us visual access to huge amounts of data in easily
digestible visuals.
Well designed data graphics are usually the simplest and
at the same time, the most powerful.
8. Possible Process
Research, design, & development
teams come in here, processing
information and building a user
friendly tool. This is the
visualization phase.
Data mining, understanding a
potential strategy and story.
This is the discovery phase.
A web experience is created giving
the user a data-driven experience.
This is the experience phase.
RESOURCE
www.accurat.it/
10. Everything depends on the concept of layering, establishing
hierarchies and making them clear.
Challenging the viewer to think about the substance rather than
about the methodology, graphic design, or the technology used
to make the visualization.
Encourage the eye to compare, reveal the data at several levels
of detail, from a broad overview to minute statistics.
RESOURCE
The Visual Display of Quantitative Information - Edward R. Tufte
12. Data analysis are the stories we desire to tell. Visual composition is
the main architecture and the aesthetic value we desire to present.
Storytelling with data visualization creates an impactful response
from the user with numbers to back it up.
Data visualization plays a critical role in modern journalism.
RESOURCE
Mandi Geiselman, Interactive Designer, Centerline Digital
&
visualisingdata.com/index.php/2013/04/discussion-storytelling-and-success-stories/
14. Data visualization (data graphics) help you understand trends,
patterns, and to make correlations. They’re typically instruments
for reasoning about quantitative information.
Information graphics (info graphics) are typically a representation of
not only specific data points but information as well. They’re
usually instruments for reasoning about qualitative information.
RESOURCE
readwrite.com/2011/01/07/difference-between-datavisualization-infographics
15. Information graphics are visual representations of information, data
or knowledge often used to support information and strengthen it.
Data visualizations are visual displays of measured quantities by
means of the combined use of a coordination system, points, lines,
shapes, digits, letters quantified by visual attributes.
Both can be static, animated or interactive.
RESOURCE
readwrite.com/2011/01/07/difference-between-datavisualization-infographics
17. When's the optimal time to use data viz professionally?
1. Absorb information in new and more constructive ways.
2. Visualize relationships and patterns between operational
and business activities.
3. Identify and act on emerging trends faster.
4. Manipulate and interact directly with data.
5. Foster a new business language.
RESOURCE
data-informed.com/top-5-business-benefits-using-data-visualization/
21. Hans Rosling's 200 Countries,
200 Years, 4 Minutes - The Joy of Stats - BBC Four
Where Men Aren’t Working
nytimes.com/interactive/2014/12/12/upshot/where-
men-arent-working-map
U.S. Gun Deaths in 2013
guns.periscopic.com/
A Day in the Life of a NYC Taxi Driver
nyctaxi.herokuapp.com/
22. Here is Today
hereistoday.com/
Bracing for the Falls of an Aging Nation
nytimes.com/interactive/2014/11/03/health/bracing-
for-the-falls-of-an-aging-nation.html