Data Visualization | Challenges in Data Visualization

Make the information interesting … but accurate? That’s the challenge in Data Visualization.

Photo by Adeolu Eletu on Unsplash

Challenges and considerations when applying Data Visualization into your design:

The first thing to keep in mind is that you will work with a huge amount of information and data set, not just only 4 or 5 pieces of information.

1️⃣ Selecting proper visual metaphors

• The choice of graph, colour or even chart junk is the factor you should take into consideration when you start working on the design.
• However, before you consider those things, the accuracy in the data is the thing to take care of the first. You have to be careful once you work with the number. If you truly understand the accuracy in statistics, you will be able to present it in a way that able to delivery the specific meaning or insight.

2️⃣ Legibility without too much reliance legends and labels

• One thing to note when it comes to refining your visualization is not to make your users keep referring constantly to the legend. It is fractured to the eyes when they have to move around to check what information is presented for. The best practice is the information should be understood by just looking at the graphic.

Try to keep the design clean and minimalist and avoid the eyes movement to the legends back and forth. Source

Tips:

Symbology is one of the interesting factor could help you to handle with visualize a cluster of information.

How to Perform Spatial Analysis

• This map uses a controlled colour palette, tonal value and different variations on the size.
• This design approach conveys pretty well the comparative relationships and density. When we look at this, we know which areas provide higher education and which ones are not. Besides, this map also tells us that there is a link between poverty and education.

3️⃣ Data density and credibility

Cartographers often have to create high density visualizations. Source: https://pro.europeana.eu/post/maps-for-makers-famous-cartographers

• What is Data density?
  Data density refers to the large sample set of data within a statistical graphic.
  Our eyes can detect fine differentiations in tone, line widths and shapes within a small space, thus people can see large amounts of information in a single graphic.

Lastly, thanks to my teacher who inspired me the data visualization and drove me through the challenges.