Implement a python code that load the daily price and volume data for a stock ticker of your choice (rather than SPY that was illustrated in the video). Once the data is loaded in a dataframe, only keep those columns including date, open, close, high, low and volume by removing all other columns. Finally, visualze the data in a stock chart (your visualization should include information on daily prices and vlume, as the example shown in the lecture 1 video).

Deliverable: A word document includes the following two screenshots: 1: the printed data frame after unnecessary columns are removed; 2: the visualization of the stock data.

Rubric: 1. The word document contains two screenshots. 30%

2. The printed data frame contains all necessary columns, but not those unnecessary columns 30%

3. The stock chart that is visualized includes information on daily open, close, high, low prices and daily trading volume 30%

4. The tick you choose is different from SPY. 10%