Data analysis done using Jupyter and Python. Also utilized several Python libraries (matplotlib, Panda, numpy, Seaborn) for data visualization and numerical analysis.
The 'Income vs Age.png' is particularly valuable because it shows why Computer Science degrees are useful.
New Programmer Survey:
- Analyzed public raw data from Kaggle.com
- Performed data cleaning procedures to remove NaN valued items
- Ran general statistical analysis on the data set
- Analyzed 'Income vs Age' between people with Computer Science degrees and no degrees