Скачать с ютуб Most Popular Waifu (2004 - 2022) *with boss music* в хорошем качестве

Most Popular Waifu (2004 - 2022) *with boss music*

This numbers aren't 100% accurate. Data based on Google searches. Join my Discord:   / discord   Which is your favourite waifu? If you liked the video video don't forget to subscribe :) Music: Dragon Ball Super OST Medley (EPIC ARABIC VERSION) LINK:    • Dragon Ball Super OST Medley (EPIC AR...   Naruto Main Theme (Trap Remix) LINK:    • Naruto Main Theme (Trap Remix)   Mob Psycho 100 - Explosion of Mob Feelings (Hip Hop / Trap Remix) LINK:    • Mob Psycho 100 - Explosion of Mob Fee...   Attack on Titan - Battle Theme (Trap REMIX) LINK:    • Attack on Titan - Battle Theme (Trap ...   Swordland (Xeuphoria Remix) - Yuki Kajiura LINK:    • Swordland (Xeuphoria Remix) - Yuki Ka...   Jun Kuroda - Stay Alive (Re:Zero Remix) LINK:    • Jun Kuroda - Stay Alive (Re:Zero Remix)   JoJo’s Bizarre Adventure (Stone Ocean) - Jolyne's Theme // Hip Hop / Trap REMIX LINK:    • JoJo’s Bizarre Adventure (Stone Ocean...   Demon Slayer - Zenitsu Theme (Hip Hop / Trap Remix) LINK:    • Demon Slayer - Zenitsu Theme (Hip Hop...   Chainsaw Man - Opening (Kick Back) Hip Hop / Trap Remix LINK:    • Chainsaw Man - Opening (Kick Back) Hi...   #waifu #popularwaifu #bestwaifu #waifu2022 Tools Used for Most Popular Waifu (2004 - 2022) with boss music Google Trends Ammount Search Tool Flourish Studio Microsoft Excel Wondershare Filmora Calculator Methodology 1) I gathered data from https://mywaifulist .moe/popular . The .csv files containing search interest values were downloaded from Google Trends for every waifu. 2) Ammount Search Tool determined the average monthly search volume for every anime. 3) The number of searches per month for each calendar year were proportioned based on official reports from Google. 4) Data modeling through an algorithm invented by me to obtain the most realistic data possible. 5) Search interest values and proportioned monthly search volumes were placed in Excel for calculations. 6) The data was placed into Flourish Studio to create the data visualization piece. 7) Image and audio assets were added with Wondershare Filmora.