Small make up has already shared with everybody before "D3.js realizes the method of the histogram to explain" and "D3.js realizes the method of line chart to explain" these two articles, have already introduced the columnar chart and line chart. Here's a say and of these two very similar graphs--scatter and bubble graphs. Friends who are in need can refer to learning.
Or as before, we first put together a simple drawing frame and added an SVG canvas:
Scatter charts and bubble charts are different in their presentation, but they are very similar in terms of technology implementation, and are made up of axes and circles.
To achieve real results, we use different analog data for scatter and bubble charts. As with line charts, the relationship of the coordinates of the points of the scatter graph is continuous in relation to the axes, so both its x and Y axes use linear scales (the difference between the linear scale and the ordinal scale) (see the D3.js method of realizing the histogram).
Analog data var dataset = [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6], [170.0, 59.0], [159.1 , 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2], [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0 , 50.0], [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8], [159.5, 50.6], [175.0, 82.5], [166 .8, 57.2], [176.5, 87.8], [170.2, 72.8], [174.0, 54.5], [173.0, 59.8], [179.9,], [67.3, 170.5], [67.8, 160.0], [47.0 54.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8], [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [1 61.3, 67.9], [166.4, 56.6], [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3], [167.6-58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8], [167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4-46.5], [157.5, 54.3], [168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3], [156.0, 52.7], [160.0-74.3] , [163.0, 62.0], [165.7, 73.1], [161.0, 80.0], [162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7], [151.1, 48.7], [164. 5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5], [164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176]. 2, 67.2], [170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8], [163.2, 59.8], [154.5, 49.0], [15 9.8, 50.0], [173.2, 69.2], [170.0, 55.9], [161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2], [ 159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4], [161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [ 168.9, 69.0], [173.2, 58.4], [171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2], [166.8-56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0], [159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0-45.0] , [163.2, 54.0], [162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4], [172.7, 62.0], [155.0-49]. 2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4], [162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5], [158.2, 46.4], [15 6.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5], [167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [15 9.8, 53.2], [170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2], [160.0, 59.5], [168.9, 56.8], [
165.1, 64.1], [162.6, 50.0], [165.1, 72.3], [166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6-84.5], [170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4], [167.6, 65.9], [156.2, 58.6], [175.2-66.8], [172.1, 56.6], [162.6, 58.6], [160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8], [177.8-60.0]; ", [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1], [172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6], 55.0 ", [165.1, 65.5], [175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2], [165.1, 62.7], [168.9], 56 .6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6], [168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0,], [53.4, 170.2], [55.0, 162.6], [70.5 67.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0], [157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [1 65.1, 80.9], [172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1], [161.3, 70.5], [167.6-52.7],
[167.6, 62.7], [165.1, 86.3], [162.6, 66.4], [152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2-57.7], [160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5], [167.6, 64.5], [167.6, 72.3], [167.6-61.4]; ", [154.9, 58.2], [162.6, 81.8], [175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0], [174.0], 73 .6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9], [156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64] .1], [175.3, 63.6], [169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8], [176.5, 71.8], [164.4; 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]];
Create an X-axis scale var XScale = d3.scale.linear (). Domain ([140, 190]). Range ([0, Width-padding.left-padding.right]);
Create a Y-axis scale var Yscale = d3.scale.linear (). domain ([n. 0]).
Create x-axis var xaxis = D3.svg.axis (). Scale (XScale). Orient (' bottom ');
Create y-axis var yaxis = D3.svg.axis (). Scale (Yscale). Orient (' left '); Apply the x axis to the corresponding SVG element main.append (' G '). attr (' class ', ' axis '). attr (' transform ', ' translate (0, ' + (height-padding.top-p
Adding.bottom) + '). Call (Xaxis); Apply the y-axis to the corresponding SVG element main.append (' G '). attr (' class ', ' axis '). Call (YAxis);
The general point in the chart is achieved by drawing a circle, when the radius of the circle is small enough, it is the point.
The same way you add points to a line chart. Select all circles in the main element first "placeholder" (because this is an empty set, except that the collection represents all the circles in main), and then bind the dataset to the collection by enter()
and append()
Use to add a new circle element until the number of collection elements is the same as the number of dataset child elements. By using scale to calculate the coordinates of each circle and assign values to its related properties, the point of addition is completed. Because the point of scatter plot is a bit more, for the chart is more beautiful, set the circle style.
Finally, the scatter chart grows like this.
Because only the data structure of the simulation is different, the implementation principle is similar, here will no longer repeat, directly on the code.
The final bubble chart is long like this.
The above is the use of d3.js to achieve scatter and bubble map of the entire content, I hope this article for everyone's study and work can help. Small series will be updated on the D3.js article, please continue to pay attention to the cloud habitat community, if there are questions you can message exchange.