https://github.com/lkethridge/sda_project

A Statistical Data Analysis project from TripleTen
https://github.com/lkethridge/sda_project

binomial-distribution continuous-variables data-aggregation data-manipulation data-preparation distribution frequency-histogram hypothesis-tests law-of-large-numbers normal-approximation normal-distribution one-tail-test paired-samples probability-theory random-sampling skewed-data standard-deviation statistical-data-analysis summary-statistics two-tail-test

Last synced: 9 months ago
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A Statistical Data Analysis project from TripleTen

• Host: GitHub
• URL: https://github.com/lkethridge/sda_project
• Owner: LKEthridge
• License: cc0-1.0
• Created: 2025-01-19T23:10:50.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-20T02:04:46.000Z (about 1 year ago)
• Last Synced: 2025-03-28T04:37:39.965Z (about 1 year ago)
• Topics: binomial-distribution, continuous-variables, data-aggregation, data-manipulation, data-preparation, distribution, frequency-histogram, hypothesis-tests, law-of-large-numbers, normal-approximation, normal-distribution, one-tail-test, paired-samples, probability-theory, random-sampling, skewed-data, standard-deviation, statistical-data-analysis, summary-statistics, two-tail-test
• Language: Jupyter Notebook
• Homepage:
• Size: 2.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SDA_Project

## *This was a Statistical Data Analysis project for TripleTen. 👩🏽‍💻*

This project analyzed fictional telecommunications company Megaline's Surf and Ultimate plans to identify which generates more revenue, using data on calls, messages, and internet usage in relation to allowances of customer plans. The findings show that Surf plan users generate higher revenue on average, primarily due to overage fees, making it the better target for marketing efforts. Regional revenue differences also emerged, suggesting further analysis to optimize the commercial budget by region.

## Skills Highlighted

🎲 Probability Theory and Distributions

🧐 Statistical Data Analysis and Hypothesis Testing

📊 Descriptive and Summary Statistics

👩🏽‍💻 Data Preparation and Manipulation

* This project uses pandas, numpy, pyplot, math, factorial, and stats.  It requires python 3.11.