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Design Points n PixelS


INFOGRAPHIC SERIES - Data Visualization connector Chart

1/26/2017

3 Comments

 
Creating data visualization graphics has always fascinated me so I wanted to figure out how it was done. And I did! So here is how I made my data-vis connector graphic in Illustrator. Looks complicated but it was less complicated than I thought. 
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Start with setting up a grid structure to snap the points of the the lines to. Under Illustrator Preferences choose Guides & Grid. 
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Set the Gridline to be 10 pt, 10 mm or 10 px. The set the subdivision to be 10. This will give you a point to snap to at every 10 intervals and grid lines at every 1 unit intervals.  
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Turn the Grid on under the View menu>Show Grid. Then turn on the Snap to Grid under the same menu. 
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Using the grid structure, set connector points for starting the connector lines. I used every 30 units for spacing.

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Duplicate the points every 30 units. Then use COMMAND + D to duplicate several more points. 
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Duplicate the dots to the lower section of the chart. Keep them inline with the upper dots. ​Select all the dots and lock them. Object> Lock> Selection.
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Using the dot as reference, draw a connector line 10 units below the dot (snapped to the grid) then connect it to the lower dot, 10 units above the dot. 
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Use the pen tool to draw the line from connector to connector. 

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Copy the line, then choose Edit>Paste in Front. Use the Selection Tool to transform the copied line to meet the next connector. 
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Repeat this process to match the points on the grid lining up with the lower point. 
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Change the line colors as you add connector groups. 
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Using curved line will be easier to follow instead of straight lines. 

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Use contrasting colors to differentiate between the connector lines.
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To change the width of the connector lines, use the Width Shape Tool to widen the ends of the line. 
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Widen the lines to meet the ends or to cover more area. Final data visualization graphic with days and dates in place. ​
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To create a more easy to follow chart, set the wider lines to 50% opacity.
3 Comments
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