In this project, it has been decided to investigate the voting interactions between the different Eurovision participating countries throughout the festival's timeline. Therefore, the web page chosen for the use of scraping regarding the use of the terms is Eurovisionworld.com. Countries.csv: • country_code: nomenclature of the country • country_name: full name of the country Countries_Editions_Songs.csv: • country: ditto country_name • years: the year of the edition of the Eurovision festival • songs: contested song • artists: the author of the festival sings • places: position in the final round • points: votes received • qualification: qualification in semi-finals Odds_Rate_Table_2023.csv: • country: ditto country_name • winning chance: % probability of winning • scrapped_day: day when the information is stored • 'et als': payment quota floats in bookmakers Polled_Eurovision_2022.csv (poll of who would win the festival in 2022): • country: ditto country_name • winrate: % of voters • n_vote: total number of voters Tweets_Count_With_Eurovision_Hashtag.csv: (Twitter API) • end_timestamp: recording of the end date • start_timestamp recording of the initial date • tweet_count: number of Tweets with the label #Eurovisio Votes_From_Scoreboard.csv: • edition_year: the year of the Eurovision festival edition • country_code_column: ditto country_code • value: total points • country_code_row: ditto country_code • vote_type: voting type