In data visualization, we often come across these two data types: structured data and unstructured data. In this post, we will briefly talk about structured data visualization. Usually, structured data includes table, database, network, geo-spatial, time series, and 3D model.
A. For network data, you can check out some creative and interesting demos in FlowingData. As an R user, I would recommend these widely used packages in R for network visualization:
B. For geospatial data visualization like maps, maybe you can check out this useful tool Mapbox Studio, which is simple and easy to get started with. Moreover, the RUG group is discussing the mapping applications in the R environment this semester and I would highly recommend you join if you are interested in R or you are already an R user.
C. For time-series data visualization, check out these nice and inspiring examples:
After reading these beautiful cases, if there is anything coming to your mind or any experience about structured data visualization that you would like to discuss, post your comment below, and share it with us!
You are also very welcome to join us in the Zoom Casual Meeting held every other week. (We have one today on Nov 6th)
Yuxiao Luo is inviting you to a scheduled Zoom meeting.
Join Zoom Meeting https://baruch.zoom.us/j/3355532575
Meeting ID: 335 553 2575
Passcode: cuny
One tap mobile
+16465588656,,3355532575# US (New York)
+13017158592,,3355532575# US (Washington D.C)
Dial by your location
+1 646 558 8656 US (New York)
+1 301 715 8592 US (Washington D.C)
+1 312 626 6799 US (Chicago)
+1 669 900 9128 US (San Jose)
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
Meeting ID: 335 553 2575
Find your local number: https://baruch.zoom.us/u/kF67qPbRn