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## Description 📜
I would to like to contribute the documentation on Olympics dataset analysis in python
## Domain of Contribution
- [x] Datascience with Python
- [x] Machine Learni…
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- [ ] Snack Habits (probability & inference)
- don't forget to update rubric!
- [ ] Time Use (probability & inference)
- [ ] Stress or Chill (box plots)
- [ ] olympic records
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Notes …
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**Name of the app**: olympic-dash-app
**Link to the repo in milestone2**: https://github.com/UBC-MDS/olympics_data_analysis/tree/1.1.1
**Link to the proposal.md file where it is the description of t…
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Firstly, we can improve the previous issues, which was mentioned in the assignment 1 feedback:
1. Modify the table width, making it easier for the readers to read the tables.
2. Round the percent…
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- Data visualisation: Matplotlib, Seaborn, Plotly, or Tableau
- Statistical analysis: Python libraries (e.g., NumPy, SciPy, StatsModels) or R
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**Submitting authors:** @ming0701 @stevenleung2018 @squisty @ruben1dlg
**Repository:** https://github.com/UBC-MDS/olympic_medal_htest
**Report link:** https://github.com/UBC-MDS/olympic_medal_ht…
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https://qlever.cs.uni-freiburg.de/wikidata/W60N0q
returns 11,403,122
but the same query https://qlever.cs.uni-freiburg.de/wikidata-test/Yz7UhL on wikidata-test returns
3,161
The smaller number …
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- Describe the goal of the project.
Determine what sports are favorable to younger athletes at the professional level.
Determine which sports have a larger proportion of older athletes.
How age d…
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## Proposal Review
**Reviewer**: Professor Baker
**Date**: 03/14/2022
### Section 1 - Introduction:
The introduction should introduce your general research question and your data (where it ca…