Data Visualization

Visualizing data, its trends and uncertainties can help the reader understand what is being communicated. However, low graphical literacy or ineffective design can lead readers to make an opposite conclusion to what was being tried to communicate (e.g. patients perceiving risk factors of medical procedures in the wrong way). So, making a strategy and developing a graphic adaptable to the audience is crucial to make the message reach the audience. 

This project had the goal to raise awareness of gender inequality in science and start discussions between scientists and institutions over more equal representation. For this project, I gathered, filtered and analysed the data, found a data story and designed the final graphic. 

1. 1. It was relevant for the project to give a wide perspective of the proportion of women in science mainly to see patterns of change and how it varies between countries; 
   2. Later, I tried to find some patterns behind the proportion of women in science. Firstly, I compared the differences between sectors and noticed that it is mainly in the business sector that the proportion is below 50%. 
   3. Another pattern found was the indirect proportionality of career development and women representation, in the higher education sector. 

Would you like to receive help in analyzing the key points in your data, selecting the most effective visualization method, and designing it to clearly communicate your results?