The data that I have used for this visualization is about IMDb. The link to the first submission is as follows

Submission 1:

In this blog, I will take you through the dos and don’ts that will help in building a good visualization through the mistake I made in my early visualizations. Before creating visualization, understand your data. After gaining an understanding, extract the most important information and include that in a prominent and accessible location in the dashboard. It is always a good idea, to tell people what the dashboard is about so that it is easily understandable to everyone.

In my first visualization, I didn’t add any text to tell the audience what my dashboard was about, and my main number information was overlapping my other chart. Although it was on top of my dashboard but overlapping it with another chart wasn’t a good idea. Another important thing is to use consistent colors meaning colors in your dashboard should not be random, but they should make sense. Colorful dashboards might look pretty but they can be very confusing. In my dashboard, I decided to use yellow so that it is consistent with my company’s logo i.e., IMDb

Figure 1: Overlapping charts

The improvements that I made in my chart are shown below, I added text giving a brief overview of what my dashboard is about and placed my main numbers in a prominent and accessible location.

Figure 2: Right Charts at right place


Another common mistake is to add tables that don’t make any sense. Too many elements don’t create an informative dashboard but clutter it. Simple dashboards with meaningful charts can make a huge difference. Every element that is added in the dashboard should have a purpose or should be helping or answering a question. In my early dashboards, I thought quantity matters most; so, I added a lot of charts with no purpose. They didn’t give information. The right use of charts is also very crucial to building a good viz. Charts that can not make meaning to human eyes should not be added. Few examples of charts that I used and shouldn’t have been added to my viz are as follows


Figure 3: Charts with no purpose and less meaningful to human eye


However, you can use the same measure and dimensions to create a more meaning chart like as follows


Figure 4: Wrong Chart Type

Figure 5: Corrected Chart Type with meaningful insights


This might not be a perfect visualization and still have a lot of room for improvement, but I am still learning and within a week of training, I could see some basic mistakes in my viz and have tried to improve them.


Maliha Athar
Author: Maliha Athar