The dataset will be exploring two anime scripts web scraping and text analysis. Two anime movies: Made in Abyss (2017) and One-Piece Red Movie (2022) will be a web scrapping and text analysis. In the final project there will be a word cloud, the most positive and negative words, removing unnecessary filler such as space, numbers, and stop words, and term frequency to compare the two anime movies. Which anime movies use the most common words between Made in Abyss and One-Piece Red? Which anime has the most negative or positive common words between Made in Abyss and One-Piece Red?

The data that I have use is top 100 of 2003-2022 according to IMB. The data may have blanks since the movies have not confirm filming location and certificate rating base on research on movies. Matnus is an example of unconfirmed rating since the movie is not well popular and known that movie exist. The graphs are bar graphs, line graph, and scatter plot. The list of variables: Title Rating Year Month Certificate Run time Directors Filming Location