Visual Analytics Blog

 

  In this graph, I added the component's gender, if they reached out to a specialist, and the number of students. I wanted to see the number of students who reached out to a specialist by their gender to compare the gender differences. The graphics that would work best with this dataset would be bar graphs because the data itself is difficult to use in graphs. The yes or no response questions made it difficult to utilize in a graph especially when using more than one variable.  Data Source: https://www.kaggle.com/datasets/shariful07/student-mental-health?resource=download

  In the vast expanse of the cosmos, beyond our earthly boundaries, lies a celestial ballet of stars waiting to be explored. In this blog post, they delve into an unconventional use of SAS Visual Analytics to create a nighttime star chart using data from the Hipparcos-2 catalogue released by the European Space Agency (ESA) in 1997. Data: The cornerstone of any visual analytics endeavor is the data itself. The Hipparcos-2 catalogue, boasting high accuracies for stars brighter than magnitude Hp=8, provides a rich dataset for our exploration. The dataset includes crucial information such as right ascension and declination, the celestial equivalents of longitude and latitude, offering a unique perspective on star locations. Visualization: To bring these celestial coordinates to life, SAS Visual Analytics steps in. Leveraging its capabilities, we transform right ascension (measured in hours, minutes, and seconds) and declination (measured in degrees, minutes, and seconds) into a visually en