EDA and Visualization of Bank Stocks - Finance Data Project AIM: Learn how to use the pandas_datareader for loading multiple financial datasets showing stocks of leading banks. Practice Exploratory data analysis and Data Visualization skills by using pandas, seaborn, matplotlib, plotly and cufflinks
DATASET: We'll focus on stocks of major international banks and see how they progressed throughout the financial crisis.
Setup to Load the Data Install the following:
pandas-datareader : Pandas datareader allows you to read stock information directly from the internet. Use !pip install pandas-datareader
nb_black : Autoformatter for Jupyter Notebook. Use !pip install nb_black