All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
Note that you have to modify the original dataframe.
Note that you have to modify the original dataframe.
Note that you have to modify the original dataframe.
Store the resulting dataframe in the variable certification_counts.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable count_by_release_year.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable average_duration_imdb_score.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable genre_counts.
Note: you have to explode the genres column first.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable imdb_score_std.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable TMDB_popularity.
Note: you have to explode the production_countries column first.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable genres_votes_scores.
Note: you have to explode the genres column first.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable genre_avg_deviation.
Note: you have to explode the genres column first.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable titles_df with a new column called standardized_tmdb_popularity.
Refer to this link for more information about the standardized score formula: https://en.wikipedia.org/wiki/Standard_score
Store the resulting dataframe in the variable min_max_year.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable genre_year_scores.
Note: you have to explode the genres column first.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable genre_average_length.
Note: you have to explode the genres column first.
Your result should look similar to this dataframe:
Store the resulting dataframe in the variable certification_stats.
Your result should look similar to this dataframe:
What's up, friends! 👋 I'm a computer science student about to finish my last year of college. 🎓 I LOVE writing code! ❤️ It makes me so happy! 😄 Whether I'm goofing in notebooks 📓 or coding in Python 🐍, writing programs is a blast! 💥
