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Abstract

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.

Problem Statement

clearly describing the data set, its source, and the main problems for which you are developing data analyses and visualizations.

Methods

describe the visualization and analysis tools/methods you used

Results

show the visualizations and analysis results

Conclusion

highlights the important results and concludes the writeup

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