History Of Data Visualization

1. Brazil's news website, Visualoop, a visualization site that brings together information graphs and data from the Internet, continues this year to identify the best large data visualization tool of the year. "We're struggling to pick out these 20 new platforms or tools-if you're a loyal reader of our weekly data coverage, you might remember a few of our lists." "In this list they ignore new versions and updates to existing tools, such as: Cartodb, Mapbox, Tableau, D3.js,...

Graphic Art--the application of information visualization nowadays people have various kinds of data, can be in this heap easily overlooked complex data fields, visual way to dig out the story to tell everyone. This is the characteristic of information visualization. Information visualization, originated from the data visualization, popular is that we are familiar with the pie chart, histogram, scatter, column charts and other statistical charts. 　　History theory and tangled terminology we will not elaborate, and then put a post from Ucdchina about information visualization. Previously information visualization in the public sounds unusually high ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

November 7, 2013, sponsored by IT Business News Network, it time Weekly and the National Cio/cto Club, "Discovery" 2013 large data and mobile application Summit forum in Beijing New Century hotel Nikko three grand event. The conference aims to discover the business value of large data applications by exploring IT solutions based on large data. Invited the national enterprises and Institutions CIO, well-known internet companies CTO, the National high-tech park representatives, Third-party market research institutions Representative, Collaborative Office field, app developer Representative ...

"2012 China Technology Business Leaders Summit" was held in Beijing in November 2012 16-17th. The picture above is the Executive Director of the New Media Marketing Research center of Guanghua School of Management, Peking University and Sumeng, associate professor of marketing. The following is a transcript of the speech: Sumeng: First of all, thanks to the "IT manager of the world," the enthusiasm of the President of the invitation, today to share with you on the big data and new media research and views. Many of you here are very senior marketing scholars and industry experienced professionals, please criticize. I'm going to spend 5 minutes running data-driven management ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

"I live on a planet of 7,080,360,000 people, this is the story about them, today, the average person will say 2,250 words to 7.4 people, people will send 300 billion emails 19 billion text messages, add up to make up 1 huge mosaic pattern ..."--Touch the Future "( It's been a pretty big show lately. Yes, in this era of information explosion, the use of graphical means, efficient and clear communication is http://www.aliyun.com/zixun/aggregation/12238 ...

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

Absrtact: The big Data brings unprecedented information to the Internet, it not only changed the data application mode of the Internet, but also deeply influenced people's production life. Deep in the large data age, people realize that large data has brought the understanding of data analysis from large data to the Internet is unprecedented information explosion, it not only changed the Internet Data application model, but also deeply affect people's production and life. Deep in the big data age, people realize that large data has transformed the understanding of data analysis from "backward analysis" to "forward analysis", changing people's ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...