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Texting Behavior Analysis for Phone Bill Optimization

Explore excessive texting patterns from a cell phone bill to reduce charges. Analyze data using histograms, box plots, and charts. Discover insights on weekend texting habits and optimize communication strategies.

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Texting Behavior Analysis for Phone Bill Optimization

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Presentation Transcript

  1. Excessive Texting JOSE GONZALEZ WINTER 2010

  2. Project Overview • Introduction • Descriptive Statistics • Histogram • Line Chart • Box Plot • Results • Conclusion

  3. Introduction • Problem: I’m being over charged in phone bill • Hypothesis: I believe excessive texting occurs in weekends • Data collected/Sources: Cell Phone Bill

  4. Texting by hours/day

  5. Box Plot

  6. Average Texts Used Per Day

  7. Results • My findings measure exactly up to my expectation. I do tend to text more on weekends. • I also found a slight increase in night usage on weekdays that can be reduced as well • One factor that contributes to the excessive variation in the weekend is that I have more free time

  8. Analysis/Conclusions/Summary • Result: Excessive texting occurs in the weekend • I believe I should try to cut my text message usage on weekends by instead using my minutes to communicate with others. • Hopefully because of this project I can better distribute my text message usage evenly throughout the week and cut my phone bill in half.

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