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.
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.
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.
Data visualization & Story Telling with DataDr Nisha Arora
Storytelling with data using the appropriate visualization is a skill that is well sought-after for data-driven decision making and it spans many industries and roles (technical/non-technical).
In this presentation, we will briefly discuss the importance of understanding the context, selecting the right visuals, key points for effectively using those for storytelling, design dos, and don’ts, etc.
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
Storyboarding for Data Visualization Designspatialhistory
This is derived from a lecture given by Frederico Freitas at the Spatial History Project / Center for Spatial and Textual Analysis at Stanford University. It describes how the process of storyboarding helps clarify design intent and facilitates design decision-making.
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.
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.
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
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.
Data visualization & Story Telling with DataDr Nisha Arora
Storytelling with data using the appropriate visualization is a skill that is well sought-after for data-driven decision making and it spans many industries and roles (technical/non-technical).
In this presentation, we will briefly discuss the importance of understanding the context, selecting the right visuals, key points for effectively using those for storytelling, design dos, and don’ts, etc.
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
Storyboarding for Data Visualization Designspatialhistory
This is derived from a lecture given by Frederico Freitas at the Spatial History Project / Center for Spatial and Textual Analysis at Stanford University. It describes how the process of storyboarding helps clarify design intent and facilitates design decision-making.
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.
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.
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
Interactive data visualization facilitates data exploration via manipulating chart images. The color, brightness, shape, and size of visual objects represent the features of the dataset being analyzed. These products provide a collection of visualization alternatives beyond pie, bar, and line charts. These tools allow users to interpret the data by interacting with a visual illustration of it.
7 Key Benefits of Data Visualization Tools_BacklinkContent.pptxAlok Mishra
Mapsted's pattern visualization tool is the perfect choice. Mapsted pattern visualization is the expert-recommended choice for businesses looking to maximize space utilization and create a customer-centric in-store experience.
Data Visualization Resource Guide (September 2014)Amanda Makulec
A summary guide to data visualization design, including key design principles, great resources, and tools (listed by category with short explanations) that you can use to help design elegant, effective data visualizations that help share your message & promote the use of your information.
Note that the tools & resources highlighted are suggested, and inclusion should not be considered as an endorsement from JSI.
How to foil the three villains of data visualization - Tableau Software EditionLee Feinberg
See how the Tragedy of Tables™, the Tyranny of Pie Charts™, and the Treachery of Averages™ cause confusion and mayhem. Learn practical tactics to defeat them and become a visualization hero. Excelsior!
This month, we will dive into the world of data analysis and visualization. As data continues to proliferate our lives and work, the question of how to make sense of it and turn it into information and knowledge becomes more and more challenging. At the same time, powerful tools are becoming available to help analysts sift through data and present it in a way that draws attention to key bits of knowledge than can be derived. As such, the skills related to using these tools effectively have become highly sought-after as organizations seek to dig out the treasures hidden in their data troves.
Presentation by Stephen Lett (Procter & Gamble)
Real-life Data Visualization - guest lecture for McGill INSY-442Mike Deutsch
Guest lecture given to McGill University undergrad class on Business Intelligence & Analytics, April 2014. Narrative: Data Visualization defined; What *good* visualization is; Visualization in business; a final Exercise in visualizing Higher Education Research data.
I recently had the pleasure of sharing some abstract thoughts, practical tips and the differences between visual analysis and data visualisation at the Data Visualisation Forum held in Auckland July 2018.
Data Visualization Design Best Practices WorkshopAmanda Makulec
Presentation shared at the #MA4Health Data Visualization workshop cofacilitated with my colleague Tahmid Chowdhury. Our aim was to empower participants with simple principles they can apply to any graph or chart to improve its effectiveness in communicating information, and to share resources on viz design relevant to global health practitioners.
A quick reference on designing data visualizations that delight and leverage best practices from the design world to ensure your data is presented in meaningful, usable, fun ways.
Data Visualization & Why it is Important in Your BusinessDigital Dialogue
Numbers can be powerful, but interpreting and using them effectively can be challenging for many people. This is where data visualization comes into play. By creating clear and concise visual representations of data, you can help your employees and clients better understand your business and the insights it offers.
Data IQ ocupa el puesto 26 en el ranking Mejores Empleadores de AperturaData IQ Argentina
Data IQ se posicionó en el puesto número 26 del ranking de la revista Apertura que llevó a cabo un análisis de las empresas líderes en la gestión de talento y en estrategias anti crisis frente a la pandemia.
Neurona Buenos Aires - Modelos BI en la Tesorería General de la ProvinciaData IQ Argentina
El Sistema Integral de Gestión Financiera de la Provincia de Buenos Aires planteó nuevos desafíos en el análisis de datos, en un escenario dinámico de información en constante movimiento.
Empresas pequeñas y medianas usando ERP, CRM o tableros de control con Herramientas de BI ya no son la excepción. Conocé, entre otros, el caso de Juguetes Dimare junto a Qlik.
With releases five times per year, we know that it can be difficult to stay up to date on what’s new. This document will help you keep up to date and includes.
Toma de decisiones impulsada por datos en radiología: Rochester Regional Heal...Data IQ Argentina
La introducción de Qlik para la toma de decisiones en el Rochester Regional Health Radiology Group, les permitió extraer, organizar y mostrar datos para tratar rápidamente necesidades cambiantes.
CÓMO ADMINISTRAR UNA TELCO MULTINACIONAL USANDO QLIK®: Virgin Mobile en Qonne...Data IQ Argentina
Virgin está llevando el entorno de Qlik al siguiente nivel, adoptando Qlik Sense, reconsiderando sus tableros de Qlik e informes de NPrinting e incorporando toda una gama de nuevos tipos de análisis (RoI en gastos de marketing digital, informes de geo-localización, etc.).
Construyendo confianza y abandonando las zonas de confort en las organizacion...Data IQ Argentina
Cómo hizo Sanofi para crear confianza empresarial y abandonar las zonas de confort. De qué manera generando mayor confianza, a través de Analytics y del entendimiento de los datos del negocio, los vendedores se convirtieron en los mejores analistas de negocios.
La transformación digital impulsada por los datos en la industria de servicio...Data IQ Argentina
Te presentamos un resumen de la sesión que Niall Gallacher, Global Director - Qlik Indsutry Solutions, realizó sobre cómo muchas organizaciones de servicios profesionales de todo el mundo están aprovechando analíticas innovadoras para impulsar el éxito en sus estrategias de transformación digital.
Conocé los casos de éxito de Qonnections 2017: QantasData IQ Argentina
Fundada en 1920, Qantas es la mayor aerolínea nacional e internacional de Australia. Considerada como una de las aerolíneas de larga distancia más importantes del mundo, vuela a 41 destinos y cuenta con varias subsidiarias.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
2. We’ve been using charts to help us
understand business data for decades.
But even when the data was different,
the charts were basically the same.
Now, everything is changing.
4. You can work directly with the
data you see.
You can interact with the visuals
to dig deeper.
And you can navigate through all
your information like never before.
5. You can interact as quickly as you think...
…and that leads to insight.
6. All at once, complex data
becomes clearer.
You can see outliers, patterns,
trends, and correlations that just
aren’t visible in simple rows
and columns.
11. Color has its place but
don’t overdo it in
data visualizations.
The wrong color can lead
to confusion, or even
worse, misinterpretation.
12. Tip
Always choose your
colors carefully
Analysis always comes first.
So, despite what your branding
department might say, brand
colors are often not the best
choice for visualizations.
Consider the color blind, and
use shapes and colors that are
easiest for the most people
to see.
Don’t rely on color alone to
convey meaning.
14. We all love our pies. But
nothing is less satisfying
than a tiny sliver.
If you try to squeeze too
much information into a
pie chart, the big picture
gets lost. Too much detail
leaves your audience feeling
unsatisfied and confused.
Avoid using pie charts side
by side — it’s an awkward
way to compare data.
15. Tip
Pie charts work best for limited
data sets that let you easily
distinguish each slice of pie.
Use pie charts to compare parts
of a whole. Don’t use them to
compare different sets of data.
Use pie charts for
the right data
Order your slices from largest to
smallest for easier comparison.
17. Making discoveries in a cluttered
visualization is like finding a
needle in a haystack.
18. Too much information
defeats the purpose
of clarity.
And unnecessary
elements - or chartjunk crowd a visualization,
obscure meaning, and lead
to inaccurate conclusions.
19. Tip
Limit the number of KPIs in a
dashboard to 9 or less. Too many
indicators are distracting.
Keep the visualization simple. The
less there is to interpret, the
easier it is to understand.
Keep it simple
If your visual looks cluttered, try
a different format. The cleanest
format is usually the best.
21. Design is not just what it
looks like and feels like.
Design is how it works.
– Steve Jobs
22. Just because a
visualization is beautiful
to look at doesn’t mean
it’s effective.
Effective visualizations
incorporate design best
practices to enhance
the communication
of data.
25. Great visualizations start
with great data.
If your visualization reveals
unexpected results, you may
be the victim of bad data.
Don’t let your visualization
become the scapegoat for
bad data.
26. Tip
Spot and correct
data issues early
Use your charts to spot issues
with your data.
Address the issues before
presenting your data. Don’t let
your visualization take the blame
for bad information.
Understand the difference
between an unexpected
discovery and a data issue.
27. Now you know the secrets to
creating effective visualizations.
So what’s stopping you?
29. Want more creative ideas and
examples for top‑notch visualizations?
Start Here:
Infosthetics.com: Explore the relationship between creative design and
information visualization.
Flowingdata.com: Learn how designers, statisticians, and computer
scientists use data to better understand the world.
Visual.ly: Create, share, and explore great visual content online.
Perceptualedge.com: Get fresh visual BI insights from the blog of
leading expert Stephen Few.
Data Visualization: Use the QlikView demo and video to choose the
best chart for any kind of data.