This is a website to showcase our final project for FIN 377 - Data Science for Finance course at Lehigh University.
To see the complete analysis file(s) click here
The main goal of this project is to explore (insert project idea here).
Here is some code that we used to develop our analysis
import seaborn as sns
iris = sns.load_dataset('iris')
print(iris.head(), '\n---')
print(iris.tail(), '\n---')
print(iris.columns, '\n---')
print("The shape is: ",iris.shape, '\n---')
print("Info:",iris.info(), '\n---') # memory usage, name, dtype, and # of non-null obs (--> # of missing obs) per variable
print(iris.describe(), '\n---') # summary stats, and you can customize the list!
print(iris['species'].value_counts()[:10], '\n---')
print(iris['species'].nunique(), '\n---')
Here are some graphs that we created in our analysis
Some analysis here
More analysis here.
More analysis.
Julio is a senior at Lehigh studying finance.
Don is an assistant professor at Lehigh.
To view the GitHub repo for this website, click here