https://github.com/mairagalvao/steak_risk_data
A data analysis based on correlations and comparisons among the samples.
https://github.com/mairagalvao/steak_risk_data
database matplotlib numpy pandas python3 sql
Last synced: 3 months ago
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A data analysis based on correlations and comparisons among the samples.
- Host: GitHub
- URL: https://github.com/mairagalvao/steak_risk_data
- Owner: MairaGalvao
- Created: 2020-11-24T07:38:27.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2020-12-31T09:29:45.000Z (over 5 years ago)
- Last Synced: 2024-12-30T07:42:52.175Z (over 1 year ago)
- Topics: database, matplotlib, numpy, pandas, python3, sql
- Homepage:
- Size: 43 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Steak_Risk_Data
**Steak Risk Data**
Let me briefly explain why I chose this data to analyze, besides the fact that I love meat.
The first time I saw the Steak Risk Dataset I was intrigued not only by the content but also by the creativity and cleverness of the pun between steak and risk. Something at stake means also something risky.
I am a big fan of meat myself, and as a good Brazilian, I enjoy a fine cut. In addition, is there anything more enjoyable than writing about food? Therefore, analyzing data about food would not be different.
As soon as I began to understand the data better, I started to define my hypothesis and then few questions arose:
Question 1º: Do risk takers eat rarer steaks?
Question 2º: How do men and women like their meat doneness?
Question 3º: Do the richer people cheat more on their partners?
**An extended version of the article can be found below on my profile on Medium.**
https://mairagalvao.medium.com/
Cheers!