please use pandas$*$

Create a DBSCAN clustering algorithm to classify the $30$ DOW

stocks. The $30$ DOW stocks are listed below. The accompanying data file is in this order.

For example, the data in row $1$ is for AXP. The data in row $2$ is AMGN. Etc.

Since some numbers are very large, stock price, and others are very small, dividend yield, we

would like all of the data scaled between $0$ and $1.$

We would like the maximum distance between two samples to be $0\mathrm{.}25.$ We have to keep it

small because all of the numbers are between $0$ and $1.$ And let's use $2$ as the number of

points in a neighborhood to be consider a core point.