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.
What is the primary function of the pd.concat() method in pandas?
Concatenate DataFrames for movies released in even and odd years to analyse trends based on year. Use the Release Year column to filter the data.
Store the result in concatenated_years variable.
The result should match the following output :
Concatenate DataFrames for movies directed by Blake Edwards and Zachary Shedd to compare their works. Use the Director column to filter the data.
Store the result in concatenated_directors variable.
The result should match the following output :
Create DataFrames for movies released in the 1990s and 2000s. Concatenate them to analyze trends over these decades using the Release Year column.
Store the result in concatenated_decades variable.
The result should match the following output :
Concatenate rows of historical films (pre-1970) and recent films (post-2010) to compare trends across eras using the Release Year column.
Store the result in historical_recent variable.
The result should match the following output :
Concatenate the Locations and Fun Facts columns side by side to create a combined view of film locations and their fun facts.
Store the result in locations_fun_facts variable.
The result should match the following output :
Concatenate the Release Year and Locations columns side by side to see the release years of movies along with their filming locations.
Store the result in year_location variable.
The result should match the following output :
Extract Director and Writer columns and concatenate them to explore frequent collaborations in the film industry.
Store the result in director_writer_pairs variable.
The result should match the following ouptut :
Extract the Actor 1, Actor 2, and Actor 3 columns and concatenate them to create a comprehensive list of actors.
Store the result in actors variable.
The result should match the following output :
Create a Series by concatenating Director names directly with Title to form listings in this format: "Director Name, directed Title".
Store the result in directed_titles variable.
The result should match the following output :
Group by Title and calculate the count of unique filming Locations per title.
Enter the number of unique location counts across all films.
Find the top 5 and bottom 5 most filmed locations and concatenate their records to analyze differences.
Store the result in concatenated_locations variable.
The result should match the following output :
Differentiate films shot in distinctly urban settings from those shot in natural or park-like settings within San Francisco.
Filter records by Locations containing keywords like Financial District and Golden Gate Park.
Store the result in urban_natural_sets variable.
The result should match the following output :
As a Project Author at DataWars, I dive into the world of data science and AI/ML with a millennial flair, constantly intrigued by the inner workings of technology. While I'm not crunching numbers, you'll find me cheering for my favorite cricket team.
