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Social Media and the Psychological City
Social media are increasingly becoming part of our everyday lives, from connecting with friends and sharing images to exploring cities through location-based applications.
Sites such as Foursquare and Facebook allow us to spatially mark our explorations in the city, creating rich databases that hold digital imprints of our interactions. To analyze these traces, the Foursquare and Facebook Application Programming Interfaces (API’s) were used to access location-based data to determine where social media users broadcast that they are “Here Now”. Analysis of this geographic data exposed the psycho-geography and economic terrain of New York City’s social media users.
Foursquare users tell us how they feel but they also provide valuable land use and economic information for cities where this information can be hard to obtain. These maps of Mexico City, Moscow, Mumbai, Rio de Janeiro, Beijing, and Tokyo allow us to compare how Foursquare users operate in these cities, but more importantly expose urban economic patterns that might not otherwise been seen.
Looking at these global cities provides a sense of how people travel around the city, where there are employment and commercial centers, and seasonal preferences – such as the indoor malls in Moscow. In Tokyo and Mumbai, the infrastructure of the transportation system is clearly visible as the nervous system of the city. Social Media can provide rich data about urban form and land use which is otherwise unavailable for many cities around the world – providing a new tool for research about how people respond and interact with cities in a way never before achieved.
Spatial Information Design Lab
Project Lead: Sarah Williams, Co-Director Spatial Information Design Lab
Research Associates: Juan Francisco Saldarriaga (Project Manager), Georgia Bullen, Francis Tan, Noa Younse, Bryan Valentini
Student Researchers: Fatima Abdul-Nabi, Adare Blumenfeld, Caitlin Hackett, Jen So Godzeno, Alex McQuilkin, Tiffany Rattray, Carlos Salazar Echavarría, Fred Sham, Nathan Tinclair
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
I am building a small visualization tool to look at the similarities and differences between two articles published in October about head injuries and the NFL:
"Game Brain" by Jeanne Marie Laskas - Oct. 10, 2009
www.gq.com/sports/profiles/200909/nfl-players-brain-demen...
"Offensive Play" by Malcolm Gladwell - Oct. 19, 2009
www.newyorker.com/reporting/2009/10/19/091019fa_fact_glad...
These are some early outputs from the system.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Description: Line chart for Perkins School for the Blind illustrating applicants and present capacity for total students and for Lower School and Kindergarten enrollment from 1951-1967. The line chart is entitled “Estimated Number of Applicants”.
There are four lines on the graph:
- “Estimated Total Peak”
- “Percent Total Capacity”
- “Estimated Lower School and Kindergarten Peak”
- “Percent Total Capacity for Lower School and Kindergarten”
The data are as follows:
- The vertical axis is labeled “Number of Pupils,” beginning with zero to six hundred, in increments of 100. The horizontal axis is labeled “School Years” and lists all the years from 1951 through 1967.
- In the graph, the “Estimated Total Peak” line begins in 1951 at a little above 250 pupils, rises steeply to 525 pupils in 1961, where applicants were expected to remain at that number through 1967.
- The “Present Total Capacity” line begins in 1951 at a little below 300 pupils and remains at that capacity through 1967.
- The “Estimated Lower School and Kindergarten Peak” line begins in 1951 with about 175 pupils, rises steeply to a little less than 300 pupils until 1956, then applicants were expected to remain at that number through 1967.
- The “Present Capacity for Lower School School and Kindergarten” line begins in 1951 at 180 pupils, before reaching 200 pupils in 1952, where it remains through 1967.
Creator: Perkins School for the Blind
Date: circa 1967
Format: Diagrams
Genre: Charts
Language/Script: Materials entirely in English.
Subjects:
Kindergarten
School children
School attendance
Place of Origin: Watertown, Middlesex, Massachusetts
Collection: Finance Charts
Location: Perkins Archives, Perkins School for the Blind, Watertown, MA
Terms of Access and Use: The Perkins Archives does not provide physical access to materials available in a digital format. Copyright Perkins School for the Blind. This image is the property of Perkins School for the Blind and use of this image requires written permission. For more information, please visit Perkins.org/image-licensing.
Digital Identifier: NumberApplicants1950-1968
Credit: Perkins Archives, Perkins School for the Blind, Watertown, MA
By volume, the relationship of the entire US budget for 2010 to federal expenditures on social security and education. The old folks kick some young a__ again.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Firmas.lv: Using ZoomCharts’ Pie Graph for Latvian Business Exploration
ZoomCharts line of advanced data visualization software lets you take ordinary data and turn it into an exciting way to dive deeper into vast amounts of information. Present data in fully interactive charts that work on all modern devices, including touch screen devices, work with massive data sets, and do it all at incredibly fast speeds and unmatched performance with ZoomCharts. As the world’s leading interactive data visualization software, ZoomCharts offers the most efficient tools to let you organize and tweak data presentation with seamless transitions.
ZoomCharts pie charts are ideal for presenting big data in a simple manner. You present only the information you want to see, and drill down further to expand on information and go deeper with a simple click. This is why Latvian website Firmas chose ZoomCharts to explore and present industry statistics with a pie chart.
Firmas produces the Latvian Business Annual Report, which explores business statistics. Firmas used a ZoomCharts pie chart to present Latvian business net turnover share for 2013, which included industries such as forest, production, agriculture, construction, retail, energy, transport, logistics and transportation, real estate, IT and computers, tourism, hospitality and entertainment, services, telecommunications, media, advertising, education and creative industries, medicine and pharmacy, food and beverage, and financial, legal, and business services.
With ZoomCharts’ interactive pie charts, a variety of options are available to let users fully customize their viewing experience:
1. Hover over data to display detailed information.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #chart #graph #charts #graphs #piechart #piecharts #piegraph #piegraphs #firmas #latvia #lv #business #industry #website #statistics #stats #bigdata #fast #speed #forest #production #agriculture #construction #retail #energy #transport #logistics #transportation #realestate #IT #information #technology #computers #tourism #hospitality #entertainment #services #telecommunications #media #advertising #education #creative #medicine #pharmacy #food #beverage #financial #legal
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
If you also want to make any infographic or motion graphic you can contact me and this is link of all my infographic work
You can add me on skype mohit.lakhmani1 or mail me at mohit_freelance@rediffmail.com or call me at +91 9540705769
Thanks
Mohit Lakhmani
7 Training Roadmap Infographic
This infographic is made to show timeline or stages for training in sales so it’s called sales for life training roadmap. Stages starting from tailor content, E-learning pre work, Instructor – led kick-off, learning path survey, instructor – Led adoption, KPI Measurements and final to 7 th stage Certification
An Interactive Look at Pharrell Williams with ZoomCharts’ Network Graph
With the ZoomCharts network graph, a variety of options are available at your fingertips:
2.Move data nodes around with simple drag and drop using your mouse.
ZoomCharts’ line of advanced data visualization software offers a fantastic way to enhance the user experience in data presentation by letting you organize and present large amounts of information in a visually engaging way—a task made even easier when you’re working with a visually appealing subject matter like celebrities.
Not only do ZoomCharts charts and graphs turn dull data presentation into an interactive and fun experience by letting you play around with data nodes, zoom in and out on different areas of the graph, and tailor the look and feel of your graph to suit your specific needs with customizable images and descriptions, but the software also works at incredibly fast speeds. Changes are reflected instantaneously when you alter, tweak, or move data nodes, making ZoomCharts a leader in data presentation efficiency.
This is why German website Celepedia, which provides the ultimate celebrity wiki that lets users learn and share knowledge about their favorite stars, chose ZoomCharts network graphs to display data in all their celebrity features. Armed with the tools that only ZoomCharts can provide with advanced functionality and unmatched speeds in data presentation, Celepedia set itself up as a leading provider of entertainment information.
Let’s take an interactive look at The Neptunes’ Pharrell Williams—a singer, songwriter, musician, and music producer who has collaborated with artists such as Madonna, Justin Timberlake, Beyoncé Knowles, Jay-Z, Britney Spears, Daft Punk, Snoop Dogg, Kelis, Nelly, Mystikal, and N’Sync—and explore who some of his friends in the music industry are, according to Celepedia users.
Pharrell is linked with a number of major players in the music industry, including female pop stars like Gwen Stefani and Miley Cyrus, hip hop artists like Jay-Z, Kanye West, and Pusha T, soul and R&B singers like Beyoncé, Robin Thicke, and Cee-Lo Green, folk and alternative rockers like Benji Madden and Ed Sheeran, his backup dancer Khadija Shari, and of course his wife, Helen Lasichanh.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #interactivedatavisualization #chart #graph #charts #graphs #net #netchart #netgraph #networkgraph #Pharrell #Pharrell Williams #singer #songwriter #music #musicproducer #musician #Madonna #JustinTimberlake #Beyonce #Jay-Z #BritneySpears #Daft Punk #SnoopDogg #Kelis #Nelly #Mystikal #N’Sync #Celepedia #German #celebrity #entertainment #wiki #fun #fast #speed #customizable #custom
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
This page was excerpted from the full report of "The Future of Storytelling" study.
Visit futureofstorytellingproject.com to learn more.
Latitude is an international research consultancy helping clients create engaging content, software and technology that harness the possibilities of the Web.
Graphics created by Latitude
The winning ‘Little Picture’, created by scientific illustrator Sacha Berna of the University of Caen, France, highlights the expansion of Brazil’s urban area between 2000-2015 and compared it to the changes in rainforest coverage.
To create the Little Picture, Sacha drew on satellite-derived land cover information generated by ESA’s Climate Change Initiative. Land cover – the bio-physical surface of the Earth’s land area – and its change over time is known to influence regional and global climate by modifying exchange of water, energy and greenhouse gases with the atmosphere. It is considered to be one of just 54 key variables used to characterise the Earth climate system.
Credits: Sacha Berna
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Visualization created from data in Latitude's "The Future of Gaming: A Portrait of the New Gamers" innovation study. Download the full study report (PDF) here. Explore Latitude's research initiatives online at: www.latd.com
Latitude is an international research consultancy helping clients create engaging content, software and technology that harness the possibilities of the Web. Contact: life-connected@latd.com
Visualization created by Latitude in collaboration with ffunction.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
This graph charts the frequency of articles mentioning India and Pakistan in the NYT between 1981 and 2009. It also indicates weighting of stories - the darkest line shows front page stories while the lighter lines indicate stories buried deeper in the paper.
Built with Processing, v. 1.0
For more information about this and other newspaper visualizations, visit my blog: blog.blprnt.com
MTAS: Using ZoomCharts’ Network Graph in Management Theory
With ZoomCharts’ interactive network graphs, a variety of options are available to allow users to fully customize their experience:
1. Display all information in one chart. Legends help you distinguish between different data series.
ZoomCharts is a world leader in advanced data visualization software with good reason. ZoomCharts graphs can support a massive amount of data input, allowing you to display all your information in one handy chart without the need to flip between separate charts, and it does it all at an incredibly fast speed to provide a seamless user experience.
With ZoomCharts tools, mundane data presentation becomes not only much more efficient than in traditional methods, but also visually stimulating and interactive. Users can tailor their own experience by customizing the graph to look exactly the way they want, and by tweaking it to present only the data they need.
ZoomCharts tools are being used in myriad ways for educational purposes. One excellent example that reveals the truly wide range of ZoomCharts capabilities is in Russian management theory website MTAS’ use of a network graph.
MTAS is a Russian organization that caters to professionals in management theory and organizational systems, including scholars, teachers, graduate students, and students, and provides a place for them to exchange and share ideas. MTAS uses a ZoomCharts network graph to explore students who studied under the scientific school of VN Burkova over a 45-year range.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #interactivedatavisualization #chart #graph #charts #graphs #net #netchart #netgraph #networkgraph #MTAS #educational #Russia #Russian #management #managementtheory #organizationalsystems #VNBurkova #scholars #teachers #graduatestudents #students
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Como parte do material para o aniversário de 460 anos da cidade, um raio-x dos imigrantes na capital.Texto de Fabiana Maranhão e programação por Franklin Javier Gonzalez de Alves. Mais em goo.gl/8QNP1u
Showing a sequence of 99 bowls and a series of 99 photographs by Franco Vimercati
Link to the exhibition: www.skd.museum/en/special-exhibitions/the-things-of-life-...
The increase in the population of the US versus, for the same time period, US traffic fatalities and US military fatalities. Be safe, join the army!
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
An Interactive Look at Pharrell Williams with ZoomCharts’ Network Graph
With the ZoomCharts network graph, a variety of options are available at your fingertips:
4. Click on a data node to explore more information about each subject.
ZoomCharts’ line of advanced data visualization software offers a fantastic way to enhance the user experience in data presentation by letting you organize and present large amounts of information in a visually engaging way—a task made even easier when you’re working with a visually appealing subject matter like celebrities.
Not only do ZoomCharts charts and graphs turn dull data presentation into an interactive and fun experience by letting you play around with data nodes, zoom in and out on different areas of the graph, and tailor the look and feel of your graph to suit your specific needs with customizable images and descriptions, but the software also works at incredibly fast speeds. Changes are reflected instantaneously when you alter, tweak, or move data nodes, making ZoomCharts a leader in data presentation efficiency.
This is why German website Celepedia, which provides the ultimate celebrity wiki that lets users learn and share knowledge about their favorite stars, chose ZoomCharts network graphs to display data in all their celebrity features. Armed with the tools that only ZoomCharts can provide with advanced functionality and unmatched speeds in data presentation, Celepedia set itself up as a leading provider of entertainment information.
Let’s take an interactive look at The Neptunes’ Pharrell Williams—a singer, songwriter, musician, and music producer who has collaborated with artists such as Madonna, Justin Timberlake, Beyoncé Knowles, Jay-Z, Britney Spears, Daft Punk, Snoop Dogg, Kelis, Nelly, Mystikal, and N’Sync—and explore who some of his friends in the music industry are, according to Celepedia users.
Pharrell is linked with a number of major players in the music industry, including female pop stars like Gwen Stefani and Miley Cyrus, hip hop artists like Jay-Z, Kanye West, and Pusha T, soul and R&B singers like Beyoncé, Robin Thicke, and Cee-Lo Green, folk and alternative rockers like Benji Madden and Ed Sheeran, his backup dancer Khadija Shari, and of course his wife, Helen Lasichanh.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #interactivedatavisualization #chart #graph #charts #graphs #net #netchart #netgraph #networkgraph #Pharrell #Pharrell Williams #singer #songwriter #music #musicproducer #musician #Madonna #JustinTimberlake #Beyonce #Jay-Z #BritneySpears #Daft Punk #SnoopDogg #Kelis #Nelly #Mystikal #N’Sync #Celepedia #German #celebrity #entertainment #wiki #fun #fast #speed #customizable #custom