Another part of my project Covid-19's impact in Economic Books was a data visualization using Tableau, in order to identify patterns, trends and outliers in the dataset.
For me, one of the biggest advantages of using this practice of translating information into a visual format, through a map or a graph, is that it makes data easier to be understandable for the human brain and, as a consequence, to pull insights from it.
At the same time, someone without knowledge of this business nor a technical background in what respects to business intelligence/data analysis/data science tools, could easily understand what is at the stake essentially with shapes and colors, carefully chosen.
In this case, I decided to use data visualization to compare the specific subject of economic books before and during Covid-19, the nationality of authors, the gender of them, the publishers, the country of publishers.
Which are the conclusions, according to the data?
Without pandemic, development is the specific subject more used, but during pandemic the authors have also books with technology, resources and pandemic as specific subjects.
The nationalities of authors with books sold by amazon.co.uk are British or American.
Usually, more men than women publish books.
Development, technology and resources seems to be specific subjects worked by men. However, when the subject is the pandemic, there is no difference between gender.
Most of the books have been Independently Published.
The USA, UK and Germany are the countries where are the Publishers of economic books.
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