I. Overview chart
1. The chart data can visualize expression. Use data charts can make lengthy text simplicity of expression, the abstract to the concrete, the esoteric content visualization, making it easier for the reader to understand the theme and point of view to be expressed.
2. Data charts easy to focus. By setting the data in the chart colors and fonts and other information, you can focus the problem effectively communicated to the reader.
3. Data charts to better reflect the specialization. Proper, decent chart conveys cartographer professional, dedicated, professional image worthy of trust.
II. Common chart
Common chart refers to graphics + form, is generally to use six basic types of charts, most of the other complex charts can use the six charts derived.
1. Form
2. Pie
3. Column Chart
4. bar
5. FIG polyline
6. Scatter
Should try to choose when to make a simple chart types, simple chart can be more effective, image and rapid transmission of information!
3. Select the chart
We need to show some of the results of the analysis charts in the data analysis, what kind of data analysis methods which require use charts show, in order to clearly and accurately convey the theme and content, how to speak with data, data analysis is an important content.
The general relationship between the data to select the appropriate charts. Most relationships between data can be summarized in five categories: ingredients relations, ordering relations, time series relationship, correlation and multiple data comparison relationship.
1. The component relation table selecting
Ingredients relationship refers to the relationship between whole and part, component data representing the relationship of the more common, usually with only partial and whole pie [classification level, such as gender only include male and female], column [can stage or level, as described above with a bar graph or bar] [] represented analogy pie.
2. Sort table selecting component
Ordering relationship between the data reaches the data size is needed to compare, and then arranged in a graph made in a certain order. Sort chart can be used for different projects, data were compared between categories. Ordering relation represented by the graph of available column, bar, or air bubbles and the like in FIG.
3. Select the time-series relationship chart
Time series represents an event at a certain chronological development trend or trends. In the data analysis of the data generally will be used to predict time series analysis, this case can be illustrated graphically, typically is a graph showing a time series line graph line graph as described above in [], a histogram can sometimes be representation.
4. The correlation table selecting
相关关系表示一类数据随着另一类数据有规律地变化情况。用以表示相关关系的图表有柱状图、对称条形图、散点图和气泡图。在数据分析中对数据进行预测一般会用到回归分析方法，这是一种典型的相关性分析方法。
5.多重数据比较关系图表选择
当所要比较的数据类型多于两个时，用常见的柱形图等表示太过复杂，此时可以用雷达图来表示。
四.图表的制作步骤
明确了图表类型的选择之后，开始制作图表，步骤如下：
1.确定所要表达的主题或目的
2.确定图表类型
3.选择数据制作图表
4.确定图表是否真实有效地展示了数据
5.确定图表是否表达了数据分析的观点