Introduction to Data Visualisation

Everything has its pros and cons so the trap of data visualisation could be in misrepresentation or misinformation of specific issues. This would maximise the hatred and bias due to the power of the visual aspects. The visionary part of data visualisation is more appealing, and as a result, it is crucial in perceiving ideas. It is similar to fake news; for data visualisation, the effect of fakeness will be doubled. To decide what makes good or bad data visualisation, the starting point is to determine the purpose of data visualisation. According to David McCandless in his information is beautiful TED Talk is a complex of factors such as simplicity, details, shape and of course the topic. The information should be easily readable so readers will not struggle to analyse the numbers. However, the negatives of data visualisation summarise in 3 points:

· Cherry picking data: Picking the fresh cherries and giving a false representation of data. Not comprehensive #biased data to show positive results.

· Using Cumulative Data vs. Annual Data

· Preference in terms of political candidates.