The Process to Data Visualization

Cindy and I, who are not tech savvy at all, have been working with what feels like a million data sets.

Our process is outlined below:

– What we were looking for?

– How we were going to explain it?

-How it related to our research?

How were we going to visualize it?

The first question was the easiest. We knew what we wanted to share, we did not know how to share it visually. Vilem Flusser says, “Changing image to text is magical”, but I tend to think text to image can also be very magical.

Of course Step 1: attending a DH Fellows Presentation ( if you have no  clue about the software, this is the way to go)

Step 2: Working with the software to understand how it will tell your story

Step 3: going to the Data sets. the one for us was

Ste 4: Finding the right program for our story. For us it ended up being CartoDB, I mentioned neatline in another post,but as you will see in  the next step that did not work.

Step 5: Exporting the data in a way that it would map without a lot of commands. We tried exporting a number of data sets that did not work for us. It would import as a polygon or with null and  who knew how to georeference that? Then it would not map. Only the shape files seemed to map easily.

Step 6 : Find more data that would tell the story

Step 7: Once we found the data, finally mapping the data

Step 8: Making the data make sense for the viewer

Today in class we will show our final  project of geomapping

How ICT impacts student learning? Does income and location impact whether students can achieve?

Our project will be displayed in cartodb.

Stay Tuned