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Beyond the Medal Count: A Comprehensive Analysis of Olympic Success at Paris 2024
This project offers an in-depth analysis of the performance of countries in the Paris 2024 Olympics, moving beyond the traditional medal count to explore alternative frameworks and metrics for assessing success. The analysis begins by scraping and tidying medal tally data from the BBC, presenting insights into the performance of the top nations. Various performance indicators, such as medals per capita, weighted medal counts, team efficiency, and economic factors, are introduced to provide a more balanced and equitable comparison of Olympic achievements.
Publicação em R
Aula 2
HW01 Sarantuya Sharavsambuu(113035128)
1. Load up required libraries: tidyverse, lubridate, tidyquant, readxl, writexl.
2. Import the data files using read_excel() to import excel files.
3. Based on bikes.xlsx, show "model" and "price" column with "price" in descending order. (Hint: use select(), arrange(), desc())
4. Based on bikes.xlsx, show "model" and "price" column with "price" greater than mean value of price. (Hint: use select(), filter())