A Merging and Scraping DataFrame Example using Football League Data From: https://towardsdatascience.com/pandas-for-football-analysis-42c23b252995 Introduction This tutorial will centre on how to merge DataFrames scraped from different online sources. To begin, I will merge the Premier League Table, available from, Wikipedia, with statistics relating to the average time a team spends leading, level or trailing over the course of … Continue reading Pandas for Football Analysis
Tag: football
Top 20 National Football Teams by Goals Scored Animated Plot
From: https://github.com/basarabam/Top20AnimatedPlot Animated plot of Top 20 National football teams by goals scored made by using ggplot2, gganimate and ggflags packages (and other listed). Follow comments in the code for instructions. This is how animated plot looks like, when finished: Dataset: https://drive.google.com/open?id=1sTzf1ehIDBAUuRoUhQCUk_-S9YbXjCi93qMGoqAs7ec #Loading packages library(tidyverse) library(lubridate) library(countrycode) library(gganimate) library(ggflags) library(tidyr) library(viridis) #Reading data data_1 <- read_csv("results.csv") … Continue reading Top 20 National Football Teams by Goals Scored Animated Plot

