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**Challenges are brief tasks designed to help you practice specific skills:**

- **Explore**: How much variety exists in Netflix's offering? Base this on three variables: `type`, `country`, and `listed_in`on graph.

- **Visualize**: Build a word cloud from the movie and TV shows descriptions. Make sure to remove stop words!

- **Analyze**: Has Netflix invested more in certain genres (see `listed_in`) in recent years? What about certain age groups (see `ratings`)?

**Scenarios are broader questions to help you develop an end-to-end project for your portfolio:**

A talent agency has hired you to analyze patterns in the professional relationships of cast members and directors. The key deliverable is a network graph where each node represents a cast member or director. An edge represents a movie or TV show worked on by both nodes in this undirected graph. You can limit the actors to the first four names listed in `cast`. The client is interested in any insights you can derive from your Netflix network analysis, such as actor/actor and actor/director pairs that work most closely together, most popular actors and directors to work with, and graph differences over time.

You will need to make a report on ms word that is accessible to a broad audience . It will need to outline your motivation, analysis steps, findings, and conclusions.

References:

Data Camp: https://app.datacamp.com/workspace/w/da943458-f77a-4439-87f9-d77805a2244d/edit

Answer rating: 100% (QA)

To start with the challenges and scenarios provided you can access the Netflix movie data on the DataCamp workspace using the following URL Netflix Movie Data DataCamp Workspace Once you access the wo... View the full answer