no more than 300 words that describes the data set and your work with it
This is a UCI data set from 2014 about customers' annual spending at a wholesale store. 440 customers' spendings on each category were recorded. There are 8 attributes: . The cell information is on a scale of 1-10 otherwise. I am going to look at the relationship between various attributes and see if we can predict which cells are cancerous.
clearly describing the data set, its source, and the main problems for which you are developing data analyses and visualizations.
describe the visualization and analysis tools/methods you used
show the visualizations and analysis results
highlights the important results and concludes the writeup