Rich Diagram types are provided in the SuperMap desktop. You can select the appropriate Chart type according to the meaning of the data to be expressed, including histogram, pie chart, line chart, bubble chart, combination chart, scatter chart, time sequence chart, histogram, bar chart, doughnut chart, area chart, etc.
The following is a Detail Description of the meaning, features, and applicable scenarios of Chart Type.
Bar Chart
It is a kind of Diagram that takes the length of rectangle as the variable to express the graph, and a series of vertical and horizontal stripes with different heights represent the data distribution, which is used to compare the relationship between two or more variables.
Bar chart features: can intuitively see the size of each data, easy to Compare the difference between Data. For example, the GDP of different provinces in China is counted as shown in the figure below.
Figure 1: Histogram |
Pie chart
A pie chart consists of a circle divided into two or more sectors. Pie charts emphasize the relationship between data and the whole and are particularly useful in showing proportions and ratios.
Often used to indicate the percentage of a part in a population. It is easy to reflect the quantitative relationship between parts and parts, parts and the whole. For example, the following figure shows the proportion of business tax of each city in Sichuan Province in a certain year.
Figure 2: Pie chart |
Line Diagram
A line graph is a Diagram that uses the rise or fall of a broken line to represent the increase or decrease of a statistical quantity. Compared with the columnar Diagram, the broken line statistical diagram can not only represent the quantity, but also reflect the development and change of the same thing at different times.
The characteristic of linear chart is that it can show the changing trend of data and reflect the changing situation of things. For example, the monthly air quality line chart of Beijing from 2014 to 2017. As shown in the following figure:
Figure 3: Line diagram |
Bubble chart
Bubble chart is a special type of XY scatter chart. The variable Y is the decision field of bubble size. The bubble point position is marked by X axis and Y axis, and the bubble size is represented by the value of the third variable.
Commonly used to view how categorical data is related.
Figure 4: Bubble diagram |
Combination diagram
Default is a chart form composed of two or more charts. Default can be two bar charts, two line charts, or a combination of one bar chart and one line chart. To make a Default, you must have two different Datasets that contain common string fields.
Default can answer questions about data, such as the relationship between GDP and population in each province of the country in 2014.
Figure 5: Default |
Scatter plot
Scatter charts plot points using data values as X, y coordinates. It can reveal relationships between values plotted on a grid, and it can also show trends in the data.
Scatter charts are useful for representing the relationship between two variables, how they are distributed, and finding outliers based on how they are distributed. For example, the municipal engineering department counts the relationship between the leakage points of water pipelines and the total length of pipelines.