I’m a 3rd year Bachelor of Actuarial Studies/ Commerce student as of 2021. I currently have more interest to the data science area, especially on it applications to psychology and personality. Using data to gain knowledge about something that’s not just money and numbers is really fascinating to me! I have skills on R, Adobe Photoshop and just recently Tableau, which I mainly use to create this site and my portfolio. Other than that, I am familiar with Python, SQL, HTML and CSS.
I’m a huge fiction and personality psychology enthusiast, thus Open-Psychometrics really piqued my interest and I really enjoyed working with this dataset especially. I got to learn so much about data visualization, how to be creative in visualizing data to tell a story regarding character personalities and at the same time learn about personality distributions and correlations of the fictional characters I know.
Lollipop Chart DV construction using Tableau Public
For fun, this DV aims to indicate the personality scores for the 36 spectrums in the recommended version of the Open-Psychometrics test.
Saving R dataframe to Excel file
First we want to first convert the full, cleaned dataset, which was written in R dataframe previously, to an Excel format.
Data for Dataset Composition DVs
From the previous blog on data preparations, I will be using several main datasets to work with different purposes of DVs.
Dividing the data to 10 selected series
To make visualizations regarding character personalities, as there are a total of 800 characters, it would be difficult to compare their personality spectrums.