Data visualization purposes
Make data more efficiently
Let the reader to read more efficiently, rather than simply their own use
Data prominent law behind
Highlight important factors
Finally, beautiful
Common primary chart
Based on the concept of the chart
dimension: description of the analytical properties and the angle, classification data
Time, location, product type
measure: specific reference value, the data value
Yuan, sales, sales amount, etc.
Different software is handled:
Scatter:
Features: Scatter major law between the interpretation of the data
Dimensions: 0+, as the color
Measure: 2
FIG Bubble:
Scatter plus one dimension, as bubbles FIG.
Dimensions: 1+, as the color
Measurement: 3, wherein the bubble size is a
Uniaxial scatter plot:
Dimensions for the Y-axis, the data tend insights law at different data categories
Dimensions: 1 +, Y-axis
Measure: 2
Consumer spending dimension
The relationship between the amount of consumption and consumption times
The relationship between the amount of consumption and consumption the last number of days ago
The relationship between consumption and the number of times the last number of days elapsed since consumption
Customer other consumer dimension
The relationship between the amount of consumption and the consumer discounts
The relationship between the amount of consumption and integration of members
The relationship between consumption and the number of members from
The vertical dimension of the field of consumer
The relationship between the amount of investment and the number of investment (financial)
The most recent dating back consumption and frequency of use (SaaS)
line chart
Line charts often used to observe the trend data over time. Line chart dimension should not be too much, otherwise it will be very confusing and complicated.
Dimensions: 1+, can be compared
Measure: 1+
Time dimension: X axis
Area chart
It is a variant of a line chart. Area charts trends over time pay more attention to the changing relationship between categories of data.
Dimensions: 1
Measure: 2
Column Chart
Bar chart is the relationship between the categories
Dimensions: 2
Measure: 1+
Histogram
Statistical bar chart type variants.
Dimensions: 0
Measure: 1
Pie
It will be appreciated annular bar graph. Pie categories should not be too much, except when the PPT is not suitable for analytical applications.
Dimensions: 1
Measure: 1
Funnel plot
It is a visual display of the conversion process. Single funnel plot is not useful, but also face the PPT. FIG funnel conversion step should not be more than seven.
Dimensions: 1
Measure: 1
Radar map
It applies to individual data and the attributes of visual, more partial descriptive data, common in CRM, the user portraits.
Dimensions: 1+
Measure: 1+
Common Advanced Charts
Tree
Case for large amount of data, in particular more categories. For example, each electricity supplier SKU
Dimensions: 1+
Measure: 1
Sankey diagram
Complex is a graph reveal trends in data. FIG area linear dimensions, can be of many or many-to-Sanchi FIG.
Dimensions: 2 source, target
Measure: 1
Heat map
Changes of data in space, such as geospatial web browsing
Dimensions: 2
Measure: 1
Space does not necessarily refer to a purely geographical space can also be a combination of law and property dimensions, such as turning it into a table weeks.
Dimensions: 1
Measure: 1
relation chart
Data show the relationship between different classes, common to all types of social media community.
Dimensions: 2 source target
Measure: 0+
Boxplot
Statistics graphically, for research and observation data distribution, data distribution can compare.
Dimensions: 1+
Measure: 1
FIG target
Also known as Bullet, it is a variant of the bar chart. Measure commonly used in the completion of the sale of the business case.
Dimensions: 1+
Measure: 2
Word cloud
Text analysis tool, PPT regulars, showing off a large chart data necessary
Dimensions: 1
Measure: 0
Geographic map
The relationship between the data and space. FIG geographic i.e. latitude and longitude values can be measured by drawing, but also by drawing category dimension provinces.
Dimensions: 1 (latitude and longitude or administrative)
Measure: 1
Diagramming
Excel Drawing:
Information data table of FIG.
Power like:
Phenomenon must see from the chart, analyze the cause of deeper through the phenomenon.
Single chart visualization is no sense ---> only see the phenomenon
Dashboard Design:
Prioritize, fit the scene, index structure
Structured:
Fitting use of personnel scene: WHO, WHAT, HOW who is using?? What is the purpose? How people are?
Index: structured, formulaic
