数据可视化简介ppt

Tree Tap
Tool
Entry-level tools Advanced tools
• Excel • CSV/JSON
• Processing • NodeBox
Online data visualization tools
• Flot
• D3
• Raphael
• Visual.ly
• Google Char API
• As a starter kit, Excel is an ideal tool to quickly analyze data, and create a data graph for internal use, but Excel in colors, lines and patterns on the optional scope is limited, this also means that using Excel is difficult to produce can met the need of the professional publications and website data. But as an efficient internal communication tool, Excel is supposed to be one of the necessary tools in your chest.
Heat map
This visualization is very intuitive reflect the Internet web site overall proportion of types, Tree Tap is a very typical application scenario, use a Tree Map in the fully manifested intuitively, at the same level at the same time under the same type and different types for the subset size comparison.
Scientific visualization: medical images of the shadow
Information visualization: New York City crime maps
VS
Bubble chart
Stack figure
Matrix hod
Data visualization of seven stages
1.obtain,The data source 2.Analysis ,The data structure 3.filter,Pay attention to the information 4.mining,The statistical analysis 5.describe,Visual model 6.modified,Clear and easy to understand 7.interaction,Operational control
How do you determine the data content?
What are the data category? • Classification (such as: column) • Sequence (such as: ranking, time) • Number (such as: digital) • Relationship (such as: level, influence, etc.) • location
focus on the abstract data sets, such as unstructured text or point of high dimensional space (these points do not have the inherent twodimensional or three-dimensional geometric structure).
Map
Parallel axis
Timeline，Line chart，Scatter diagram，Data table，Flow chart，Radar map......
Heat map can be very intuitive to present some difficult to understand or to express the data, such as density, frequency, temperature, etc., to switch to this area and color are more likely to be understood.
In 2015 China's province GDP ranking bubble chart
In 2015 China's province GDP ranking Regional figure
Gantt chart
Radar map
Visually
The capital of Finland people's age and leverage
• Who are the users of the data? • If the user is not you! • Then what's their preference? • What is their first choice? • Do we really understand them? !
• Information visualization
Information visualization is designed to study large-scale non numeric information resources other visual presentation, and using the technology of graphic images, and the method, help people to understand and analyze the data. • Compared with scientific visualization, information visualization is
• Tangle • Crossfiler
Excel
In 2015 China's province GDP ranking bar chart
• Excel graphical function is not powerful, but Excel is an ideal work to analyze the data.
Google chart
Division of the breeding rate and the distribution of the average life expectancy
• Tools: Google chart • Source: world bank • Analysis: in general, the more the
Contents
Concept Tool Method
Concept
• Data visualization is the study of the visual representation of data, the visual form of the data is defined as: a summary in some form of information extraction, including the various properties of the corresponding information una visualization
A picture is one of the greatest value it can make we actually see more rich content than we expect to see! What data is not the final need, what they need is information, is for the future development of insight.
Mapping tools
• Leaflet
• OpenLayers
• PolyMaps • Kartograph
• Modest Maps • CartoDB
Expert tools
•R • Weka • Gephi
Interactive graphical user interface control
• By means of graphical method, clear effectively convey information and communication. —— wikipedia
• Scientific visualization
Scientific visualization mainly focuses on the phenomenon of 3 d visualization, such as architecture, meteorology, medicine or biology system. Focus on the body, face and light source such as realistic rendering.
economic developed area, the longer the life expectancy, but the lower conception rate. For example, in the central African republic life expectancy is only 48.3 years old, and the conception rate is 4.55. As a comparison, we look at macau, the average life expectancy of 81 years of age, and rate of only 1.12.