Вторая лабораторная работа студента московского политеха по анализу данных

Este trabajo presenta un análisis de los datos de comercio exterior del rubro forestal de Paraguay. Se trabaja con grandes volúmenes de información correspondientes a distintos períodos, utilizando archivos en formato Parquet para optimizar el almacenamiento y procesamiento de los datos. Mediante R y herramientas como arrow y dplyr, se realiza la lectura, selección, filtrado, transformación y visualización de los datos, con el propósito de identificar características y patrones relacionados con las operaciones forestales, los países involucrados, las aduanas y los medios de transporte.

HW3

In this project, the Elo rating methodology, which was developed to rank Chess players by Arpad Elo, will be applied to WNBA teams. Data will be sourced from the wehoop R package. A convention established by the FiveThirtyEight blog, and repeated in this article applying Elo ratings to NBA teams, is to start with a baseline value of 1300 for each team. Anticipated challenges involve maintaining a reasonable scale: WNBA data exists extending back to 1997, and computing 29 seasons of Elo ratings may prove cumbersome if an efficient and repeatable architecture is not implemented from the start. The 2025 season will be used as a baseline from which the methods can be extended backward to cover the entire WNBA history, if practical. The 2025 season is the most recently resolved regular season. Other anticipated challenges may arise when visualizing the results of this analysis. A potential graph could compare Elo ratings vs time for a select group of teams.

TM2.Komstat_Ardina Rizky Amalia

Práctica 3. ENBIARE

elo dataset and analysis

Data 606